A support agent closes a ticket in Zendesk. The engineer working in Jira who actually fixed the bug doesn’t get a real-time update. Both teams don’t have the visibility they need.
That gap is what enterprise integration is supposed to close. Your CRM, your ITSM tool, your dev tracker, and your support desk all hold pieces of the same story, and none of them talk to each other on their own.
Key Takeaways
- Enterprise application integration (EAI) connects business systems so they can share data and trigger actions in each other automatically, cutting out data silos and manual re-entry.
- Common approaches range from simple point-to-point connections to hub-and-spoke, ESB, middleware, microservices, and event-driven patterns, each suited to a different scale of complexity.
- Integration types split into internal, external (cross-company), legacy, and B2B, and each one changes what you need from a platform, especially around control and security.
- The highest-value use cases span ITSM, supply chain coordination, sales and marketing handoffs, legacy bridging, and cross-company collaboration with MSPs, vendors, and clients.
- Choosing the right platform comes down to connector coverage, sync directionality, data transformation depth, security certifications, scalability, and whether each side of a connection can control its own rules.
- More than 83% of organizations have already implemented some form of integration, and that number keeps climbing as the average company adds more SaaS tools.
What is Enterprise Integration?
Enterprise integration or EAI (Enterprise Application Integration) refers to the process of creating smart connections between different software applications, systems, and data sources, enabling them to share data and functionality.
That covers CRMs, ERPs, ITSM platforms, help desks, dev trackers, and anything else a team depends on.
To stay ahead in this hyper-competitive global market, you need to deal with IoT, modern APIs, big data, and real-time data exchange requirements.
All these applications, systems, devices, and data sources exist to serve common business objectives. However, these different systems may lack the ability to talk to each other, resulting in information silos and widespread operational inefficiencies.
Employees using these applications feel overwhelmed navigating through so many of them to ensure they run smoothly and get the required information. Any updates they make in one system must be manually replicated in another. The technologies remain siloed, and businesses lack a unified view of critical data.
As enterprises deploy more of such applications, hosted on-premise or on public or private cloud or outsourced to a third-party service provider, data silos grow exponentially. So, how do you close this gap?
An enterprise integration platform is the software that does this for you. It tracks an event on one system, carries the update to the other side, and converts the data into a format the receiving system understands.
Some platforms are cloud-native and sold as iPaaS (integration platform as a service). Others are native tools built by a specific vendor, or middleware you configure yourself. iPaaS is one way to deliver EAI, not the only way, and not every integration platform is an iPaaS.
Example: a company connects its CRM to its inventory system. When a customer places an order in the CRM, the inventory system updates in real time, so you don’t overcommit stock that’s already spoken for, and you also don’t underdeliver because two systems disagreed about what was in the warehouse.
What Are the Goals of Enterprise Application Integration?
The specific goal varies by company, but most integration projects include one of four things:
- Data integration, to unify formats and stop duplication. Salesforce might store a date as dd/mm/yyyy while Jira stores it as mm/dd/yyyy. Unifying that means the data means the same thing on both sides.
- Workflow integration, so teams or organizations get more done together. Syncing a support team’s ServiceNow data into an internal Jira instance is a common version of this.
- Interface integration, so both sides of a connection get a unified view without leaving their own environment.
- Process integration, so a single action, like closing a deal in Salesforce, triggers the right downstream workflow in other systems automatically instead of waiting on someone to notice.
Key Building Blocks of Enterprise Integration
There are various methods and technologies to integrate your enterprise applications. It helps to know what each one actually does before you evaluate a platform.
- Application Programming Interfaces (APIs): APIs provide a standardized way for different applications to communicate with each other. By exposing specific endpoints, applications can request and exchange data, trigger actions, and interact smoothly. You can also use API integration for real-time data exchange between your systems. Modern REST and GraphQL APIs have become the backbone of enterprise connectivity, supporting both synchronous requests and event-driven architectures.
- Middleware: Middleware acts like a software layer that sits between applications and systems. It enables data exchange by translating data formats and protocols, ensuring compatibility between disparate systems. Today’s middleware solutions handle complex transformations, message routing, and protocol translation while maintaining data integrity across heterogeneous environments.
- Enterprise Service Bus (ESB): ESB acts like a centralized hub that manages communication between various applications. It simplifies integration by providing a common platform for routing messages, transforming data, and performing other integration tasks. While ESBs dominated earlier integration strategies, many organizations now complement them with API-led connectivity and event-driven approaches for greater flexibility.
- Message Queues: Message queuing enables asynchronous communication between applications. Messages are first sent to queues from where applications retrieve and process them at their own pace. Message queues help manage high data volumes and ensure reliable delivery. They provide guaranteed message delivery, automatic retries, and backpressure handling for mission-critical data flows.
- Data Integration: This involves combining data from multiple data sources to provide a unified view. It includes technologies like Extract, Transform, and Load (ETL platforms), data warehouses, and data lakes. Modern approaches also include ELT (Extract, Load, Transform) patterns that leverage destination compute power and Change Data Capture (CDC) for real-time data synchronization.
- Enterprise Integration Patterns: These consist of technology-independent answers to common integration problems. The patterns establish a standard vocabulary that developers and application architects can use to define integration strategies. Patterns like message routing, content enrichment, and scatter-gather help teams implement consistent, maintainable integrations.
- Business Process Automation (BPA): Integration isn’t just about data; it’s also about automating business processes across multiple systems. BPA tools can orchestrate complex workflows, ensuring tasks move efficiently between systems and departments. Trigger-based automation can replicate tickets, escalate incidents, and execute cross-platform actions based on predefined rules.
How Does Enterprise Integration Work?
Let’s use a sample connection scenario between Salesforce and ServiceNow to explore how enterprise application integration works.
On one end, you have a Salesforce org. On the other end, you have a ServiceNow instance. But since both platforms cannot interact natively, you’d need an integration solution to mediate between them.
Here is a breakdown of what happens:
- The Sales team (using Salesforce) creates a Case for a customer.
- The third-party integration solution analyzes the newly created entity to determine if it meets the conditions for synchronization. It then interacts with the Salesforce API to fetch the response.
- The solution converts the record from Salesforce to a ServiceNow-readable format through data transformation and field mapping.
- A ServiceNow Incident, Change Request, or Problem is created to replicate the Salesforce Case based on the custom mappings.
- The support agents can now escalate the new Incident to the development team via Jira Service Management while making sure the Sales team gets timely updates with the designated fields in the Salesforce Case.
This flow can extend across more than two platforms. For example, an MSP using ServiceNow can sync with a customer’s Zendesk instance for support tickets while also pushing escalations to their internal Jira for engineering follow-up, all through a single integration layer.
Types of Enterprise Integration
Not every integration looks the same, and the type shapes what you need from the platform.
Internal Application Integration
This involves connecting two applications within the same organization. For example, the customer service team could integrate their Zendesk with the development team’s Jira Service Management instance.
For internal teams, this integration usually goes smoothly, especially with companies that have procedural documentation on data management and process orchestration. In the span of a few meetings, both teams can iron out the details and come up with an integration plan.
Internal integration becomes more complex when multiple departments are involved. A product team using Jira, a support team on Freshdesk, and a project management team on Asana all need different data from the same source, and the integration platform needs to handle those variations without creating bottlenecks.
External Application Integration
This involves connecting applications across organizations, often called cross-company integration. Think of the same Zendesk to Jira integration scenario mentioned earlier, but this time, both teams are in different organizations.
The main challenge is getting both sides to agree on what to share and what to keep private. For the collaboration to work, both teams need granular control over the sync on their side. This is where platforms with independent configuration per side become essential. Each organization should be able to define its own sync rules without depending on the other party’s setup.
Security also becomes a bigger concern with external integration. You want a platform that encrypts data in transit, supports role-based access control, and meets compliance standards like ISO. Checking a platform’s Trust Center before committing is a good practice for evaluating its security posture.
For example, a team using Salesforce can explore payment gateway integration for another team that processes payments using Stripe.
Legacy Application Integration
The approach to integration is different when you have a legacy application that needs to be updated.
First, admins must determine whether the legacy system should be modernized and balance the pros and cons of doing so. Based on their findings, the involved parties can decide how to configure the legacy system integration solution.
Legacy system application integration can end up saving you money instead of modernizing the solution to get it up to par with SaaS applications. The key is finding a platform that can interface with older APIs or custom endpoints while still connecting to modern cloud applications on the other end.
B2B Integration
When two businesses integrate applications, they need dedicated middleware to manage the exchange according to mappings, rules, conditions, and triggers.
As B2B integration requires trust and transparency, the two entities need to agree on how to configure the system down to specific fields and objects.
If both teams don’t want to dedicate a team to configuration, monitoring, and maintenance, they can outsource this problem to third-party application integration vendors.
B2B integration works best when each side maintains independent control over what data they send and receive. This way, neither party needs to expose their internal processes or compromise on data governance.
Evolution of Enterprise Integration Models
Point-to-Point Integration
It all started with basic point-to-point connections between two different applications or systems, aka Peer-to-Peer Integration. But this simple approach became unwieldy and hard to manage with a growing number of connections. Each new integration multiplied complexity exponentially.
Hub and Spoke Integration
Then came a central integration hub acting as a mediator between systems, connecting the spokes to the hub directly rather than to each other. However, this model faced scalability issues and created potential bottlenecks when the hub experienced problems.
ESB (Enterprise Service Bus)
ESBs introduced a more standardized approach where a centralized hub managed communication between different systems. This provided better governance and monitoring but often required specialized skills and lengthy implementation cycles.
Middleware-based Integration
Middleware-based integration puts a dedicated layer between applications to handle communication, formatting, and protocol translation. This is especially useful when the systems on either side store data in genuinely different structures. An iPaaS or a dedicated tool like Exalate functions as middleware, absorbing that complexity so you don’t have to build a custom translator for every connection.
Microservices Integration
Microservices integration breaks the system down into small, lightweight services and integrates only the pieces you actually need. Instead of connecting an entire help desk platform to Jira, you might connect only the ticketing module. This shows up a lot in DevOps-heavy teams that want granular control over which components talk to each other.
Modern Integration Approaches
With the advent of cloud computing and web APIs, integration expanded beyond organizational boundaries. Integration now involves connecting cloud-based services with on-premises systems, enabling hybrid environments.
These evolved integration needs required agile, event-driven approaches that respond instantly to changes. Hybrid Integration Platforms (HIPs), Microservices, and API-first integration took center stage and changed the way enterprises handled integrations.
The evolution of these models reflects the ever-changing landscape of technology and business needs. For this complex business landscape, you need a comprehensive solution for connecting various systems within your organization.
What Are Enterprise Integration Platforms
Enterprise integration platforms (EIPs), sometimes called EiPaaS (Enterprise Integration Platform as a Service), are comprehensive software solutions designed to offer a range of tools, services, and functionalities to address the challenges of integrating disparate enterprise systems.
These platforms provide a framework that enables organizations to establish communication between diverse IT systems and streamline data exchange, process automation, and workflow optimization.
Why Enterprise Integration Platforms Matter
Organizations explore integrating their enterprise applications for various generic and specific reasons.
Overall, more than 83% of organizations have implemented some form of integration. And with the average enterprise now running hundreds of SaaS applications, that number is only going up.
Let’s discuss the benefits in detail.
Eliminate Data Silos
One drawback of having SaaS applications isolated within an organization is that data gets siloed. Customer information lives in the CRM, support tickets sit in the help desk, and engineering work is tracked in a separate project management tool, with no connection between them.
By integrating these systems, your company can break down these silos and get all the teams to access data freely according to their permissions. When a support agent resolves a ticket in Zendesk, the sales team can see that update in Salesforce without anyone having to copy the information over manually.
Improve Process Efficiency
If a process involves multiple enterprise applications, say the sales enablement team uses both Salesforce and Jira, integrating them would make the sales process more efficient.
Your team would have access to all the sales and customer data in order to streamline the process and reduce duplication of efforts.
Construction company Nevaris used an EAI tool to improve workflow efficiency between their QA experts and devs. The result was decreased work item handling times
Reduce Expenses
Instead of paying to onboard new applications, teams can continue using their existing enterprise application.
For instance, when you integrate ServiceNow and Zendesk, neither side will have to pay the extra licensing and infrastructure fees to get the data they need.
Piotr Radtke from Netguru confirmed the cost savings as the Senior Project Manager.
The company significantly reduced license costs and connected DevOps with its ITSM and business teams.
When evaluating solutions, look beyond the sticker price. Factor in implementation time, ongoing maintenance overhead, and whether the platform can scale without requiring additional infrastructure investment. A solution with a slightly higher upfront cost might save significantly more in the long run if it reduces the need for custom development and dedicated engineering resources.
Improve the Overall Experience
When all the teams have a clear view of customer data, they’ll be able to provide a consistent experience on all channels. The admins will also have access to information in real time to get updates.
Daniel Miks, the Atlassian Solutions Expert at WirelessCar, explained how Exalate helped them improve the user experience.
WirelessCar was able to improve the experience of the brands working with them. They synced their internal Jira with their customers’ ServiceNow instances for efficient ticket handling.
Automate Syncs and Workflows
Tools for integrating enterprise applications now come with AI-assisted configuration capabilities. These tools can optimize and automate syncs and workflows between systems and teams.
For instance, with Exalate, you can consult Aida, the AI-powered documentation assistant, with your prompt or query to get guidance on scripts that will help you map statuses, fields, and entities between two systems. This reduces the scripting learning curve and lets teams configure integrations faster without relying on external consultants.
Triggers also play a key role. You can define conditions that automatically initiate a sync when certain criteria are met, like creating a Jira work item whenever a high-priority Salesforce Case comes in.
Enable Cross-Company Collaboration
One of the most underestimated benefits of EAI is its ability to support collaboration across organizational boundaries. MSPs syncing with their clients’ instances, vendors pushing supply chain updates to procurement systems, or partner organizations sharing project status updates in real time: all of these scenarios require integration solutions that can work across separate environments.
This is where bidirectional integration becomes critical. Both sides need to send and receive data without giving up control of their own systems. The right EAI solution lets each organization maintain its own rules, field mappings, and sync triggers independently.
What are the Challenges of Enterprise Application Integration
Implementing EAI is not without hurdles. Being aware of them upfront helps you plan better and choose the right tools.
Integration Complexity
The underlying technologies across enterprise applications are complex and different. REST APIs, SOAP, GraphQL, proprietary protocols: each system speaks its own language. You need to account for these variations when choosing or building an integration solution. The more platforms involved, the more complex the data transformation and routing logic becomes.
One way to manage this is to choose a solution that handles protocol differences and data transformation natively, so your team doesn’t have to build custom adapters for every connection.
Legacy System Compatibility
If you don’t have a dedicated engineering team that understands the legacy system’s infrastructure, the sync might end up leading to data loss and inaccuracies.
Legacy systems often lack modern APIs, which means connecting them to current platforms requires workarounds like flat-file exchanges, database-level integrations, or custom connectors.
Before committing to a solution, verify that it either natively supports your legacy platforms or offers extensible connectors that can bridge the compatibility gap.
Data Security and Compliance
Sensitive business and customer data are being exchanged across systems, which makes integrations vulnerable to external threats. Whether for external or internal syncs, both sides must employ robust security measures to guarantee safety and privacy.
Look for solutions that hold recognized certifications like ISO and GDPR, use TLS encryption for data in transit, and support role-based access controls. You can verify a vendor’s security posture by checking their public trust documentation.
Vendor Lock-In
Choosing an integration platform that tightly couples your workflows to its proprietary ecosystem can make it difficult to switch later. If the vendor raises prices, discontinues a connector, or doesn’t keep up with the platforms you need, you’re stuck.
Mitigate this by prioritizing solutions that give you control over your integration logic (like scripting engines) and that support a wide range of connectors. Also, check how the vendor handles data portability and whether your configurations can be exported.
Scalability Under Load
An integration solution that works fine for 50 syncs per day might buckle under 5,000. As your organization grows, the number of connected platforms, users, and sync events increases. If the integration solution can’t distribute the load efficiently, performance degrades.
Test the solution’s behavior under load before committing. Ask about throughput limits, queueing mechanisms, and how the platform handles sync failures and retries.
Best Practices for Enterprise Integration
If you want the enterprise integration to work smoothly, here are some best practices to follow.
Start with a Stakeholder-Driven Evaluation
Carry out an extensive evaluation to discover the best approach for integrating the involved systems. Involve stakeholders on both sides of the connection to make sure they share their concerns and ideas.
This includes not just the technical team but also the end users who will be working with the synced data daily. Misaligned expectations between teams are one of the most common causes of integration project delays.
Test Before You Scale
Run tests before implementing any integration on a broader scale. This will help you fix minor problems before they snowball into company-wide disasters. If you map the wrong fields or values, data could get lost or corrupted.
Start with a small subset of records, validate the output on both sides, and then expand. This is especially important for bidirectional syncs where misconfigured mappings can create feedback loops.
Document Everything
Document every process and action pertaining to the EAI implementation to guarantee smooth continuity. Include the rationale behind field mappings, the conditions used for triggers, and any exceptions or edge cases that were handled during setup.
Good documentation reduces the risk of knowledge loss when team members change roles and makes it significantly easier to troubleshoot problems later.
Train Your Teams
Conduct training exercises to ensure your team members understand the configuration rules required to achieve the best results. This includes understanding how to modify sync rules, interpret error logs, and make adjustments when business requirements change.
With tools that offer AI-assisted configuration capabilities, the learning curve is lower, but teams still need to understand the logic behind the integration to manage it effectively.
Monitor and Optimize Continuously
Analyze usage and performance data to determine if the integration is performing as expected. This will also show you areas of improvement and suggestions for optimization.
Set up alerting for sync failures and track metrics like sync latency, error rates, and data volume over time. Treating integration as a living system rather than a one-time setup is what separates successful implementations from fragile ones.
Features to Consider When Choosing an Integration Platform
Selecting the right enterprise integration platform requires evaluating multiple dimensions beyond basic features. Here’s what to prioritize:
Connector Ecosystem and Platform Support
Evaluate the breadth and depth of pre-built connectors. A strong connector ecosystem ensures you can connect your existing tools without custom development. Look for platforms that support your core systems and have a track record of adding new connectors.
Key platforms to verify: Jira Cloud, ServiceNow, Salesforce, Azure DevOps, Zendesk, GitHub, Freshservice, Freshdesk, Asana, and any custom applications critical to your workflows. The best platforms also support custom connectors for proprietary or niche applications.
Data Flow and Directionality
Does the platform support one-way sync (typically for reporting), or true bidirectional sync for keeping operational systems in lockstep? True bidirectional sync requires sophisticated conflict resolution to prevent data corruption and ensure both systems stay consistent.
For cross-team collaboration, bidirectional sync is usually essential. Support teams need to see development updates, while engineering needs customer context—and both sides need changes to flow automatically.
Latency and Processing Model
Does the tool operate in batches on a schedule, introducing latency of minutes or hours? Or does it process data in real-time, using an event-driven architecture to propagate changes in sub-second timeframes?
For ITSM and support scenarios, real-time synchronization matters. When a critical incident occurs, you can’t wait for the next batch cycle. Updates should flow within seconds of changes being made.
Reliability and Error Handling
Mission-critical integrations demand automated reliability. Look for features like guaranteed data delivery, automated retries, detailed logging, and intelligent error handling to ensure data consistency and prevent silent failures.
Robust queuing mechanisms track syncs and maintain data integrity even when connectivity issues occur. The system should process queued updates when connectivity is restored without losing any changes.
Scalability and Performance
The platform must scale effortlessly from thousands to millions of records without performance degradation or requiring manual infrastructure management. Consider both current volumes and future growth when external partners or new business units join your integration network.
Platforms built with loosely coupled architectures handle scaling more gracefully than tightly integrated monolithic solutions.
Security and Compliance
Enterprise-ready platforms must provide robust security controls and hold key compliance certifications. Essential requirements include:
- Encryption: Data protection both at rest and in transit using TLS 1.2/1.3
- Access Controls: JWT authentication, role-based permissions, and multi-factor authentication
- Certifications: ISO 27001:2022, GDPR compliance
- Monitoring: 24/7 Security Operations Center coverage and Endpoint Detection and Response systems
Multi-Platform and Cross-Company Support
Can you connect multiple platforms simultaneously? Many organizations need to sync ITSM tools with development trackers, CRM systems with support desks, and external partner systems with internal workflows.
Look for platforms that support mesh, star, hub-and-spoke, or any network topology you need. Each connected organization should maintain control over its own sync rules and data without depending on other parties’ configurations.
Vendor Support and Documentation
Adequate vendor support is crucial. If the platform provider doesn’t offer reliable and timely support, you could find yourself struggling with technical issues without proper assistance.
Evaluate support response times, available channels (chat, email, phone), and whether managed services options exist for organizations that want expert engineers to handle configuration and maintenance.
Total Cost of Ownership
Factor in implementation time and ongoing maintenance, not just the subscription price. A slightly pricier platform that needs less custom development can easily come out cheaper over a year.
Calculate time and money savings from automated bidirectional sync.
What Not to Ignore When Picking an Enterprise Integration Platform
Here are some things you must not ignore while making this important decision:
- Don’t ignore business needs. It is one of the biggest mistakes in selecting an enterprise integration platform. You must identify your integration requirements, current and future, to ensure the platform aligns with your business goals.
- Don’t ignore scalability. A platform that works well for your current integration needs might not be able to handle increased loads in the future. Failing to consider scalability can result in disruptions and migration hassles down the line.
- Don’t ignore vendor support assessment. Adequate vendor support is crucial. If the platform provider doesn’t offer reliable and timely support, you could find yourself struggling with technical issues without proper assistance.
- Don’t underestimate integration types. Different integration types (batch, real-time, APIs, bidirectional sync, etc.) work for different scenarios. Failing to understand these variations can lead to poor performance and inefficiencies.
- Don’t go for the hype. Choosing a platform solely based on industry hype or trends without evaluating how it aligns with your organization’s needs can lead to disappointment and underwhelming results.
- Don’t ignore migration. If you’re migrating from an existing integration platform, overlooking the migration process and associated challenges can lead to data loss, disruptions, and extended downtime.
Avoiding these common mistakes can save you from unnecessary challenges and ensure a successful enterprise integration process.
What Are The Top Enterprise Integration Platforms?
Exalate
Exalate is a synchronization and integration platform designed to connect and synchronize data between different work management and service desk tools. Exalate enables bidirectional data exchange between platforms like Jira, ServiceNow, GitHub, Salesforce, Azure DevOps, Zendesk, Freshservice, Freshdesk, Asana, and more through custom connectors.
What sets Exalate apart:
- AI-Assisted Configuration: Exalate’s Aida feature helps generate integration scripts for different use cases by entering requirements in natural language. It has delivered 50% reduction in implementation time and 85% decrease in script errors.
- Aida Documentation Assistant: An AI-enabled assistant that helps users find answers, plan integrations, and troubleshoot issues quickly.
- Groovy-Based Scripting: A powerful scripting engine that allows complete customization of sync rules for the most advanced use cases.
- Cross-Company Collaboration: Seven in ten organizations using Exalate run at least one cross-company connection, syncing data with external partners, vendors, and MSPs while maintaining control over what’s shared.
- Enterprise-Grade Security: ISO 27001:2022 certified with JWT authentication, role-based access controls, TLS 1.2/1.3 encryption, and 24/7 monitoring. Learn more at the Trust Center.
Use cases: Support-to-engineering escalation, ITSM handoffs between ServiceNow and Jira, multi-vendor project sync, MSP client management, and migration/co-existence bridges.
Mulesoft Anypoint Platform
MuleSoft Anypoint Platform’s comprehensive suite of tools enables businesses to design, build, manage, and monitor integrations using APIs, connectors, and various integration patterns. The platform’s API-led approach facilitates the creation of reusable APIs that enhance agility and scalability, enabling businesses to adapt to changing technological landscapes.
Best for: Large enterprises with complex multi-system environments needing API management and hybrid cloud support.
Dell Boomi
Dell Boomi stands as a prominent cloud-native integration platform, empowering organizations to link applications, data, and processes. Boomi’s user-friendly interface facilitates the design of integrations using a visual approach, reducing the need for complex coding. Its comprehensive capabilities span application integration, data synchronization, B2B/EDI management, and API connectivity.
Best for: Organizations seeking a scalable, low-code integration solution with a large library of pre-built connectors.
SnapLogic
SnapLogic offers an intuitive drag-and-drop interface and simplifies integration complexities, enabling users to create intricate workflows without extensive coding. The platform supports a range of integration patterns, including real-time event-driven scenarios and batch-oriented processes. SnapLogic’s SnapGPT uses generative AI to convert business intent into workflows.
Best for: Enterprises seeking rapid integration development with AI assistance and a broad range of connectors.
Jitterbit
Jitterbit offers a robust integration platform designed to link applications, data sources, and business processes with ease. Its emphasis on simplicity and efficiency is evident in its pre-built connectors and straightforward interface, enabling users to quickly construct integrations without complex coding. Jitterbit’s platform supports various integration scenarios, including cloud and on-premises applications, data synchronization, and API connectivity.
Best for: Mid-sized organizations wanting ERP integrations without extensive custom middleware.
Workato
Workato is an integration and automation platform that enables businesses to seamlessly connect applications, automate workflows, and streamline processes. With a focus on no-code and low-code capabilities, Workato empowers users to build integrations and automate tasks without extensive technical expertise.
The platform supports a wide range of applications, both cloud-based and on-premises. Workato’s strength lies in its ability to orchestrate complex workflows, trigger actions based on events, and enable data synchronization across systems.
Best for: Business teams seeking automation-first integration with minimal developer involvement.
Informatica
The Informatica platform encompasses a range of capabilities, including data integration, data quality, data governance, master data management, and more. It allows organizations to connect, transform, and move data across various sources and targets, ensuring data accuracy and consistency.
With a strong emphasis on data governance and security, Informatica helps organizations comply with regulatory requirements and maintain data integrity throughout its lifecycle.
Best for: Organizations prioritizing data governance and operating in regulated industries.
Practical Use Cases for Enterprise Integration
Support-to-Engineering Escalation
Challenge: Support teams log customer issues in platforms like Zendesk, Freshdesk, or Salesforce, but developers work in Jira or Azure DevOps. Manual ticket escalation causes delays and lost context.
Solution: Automated bidirectional sync creates work items in the development platform when support tickets meet specific criteria (priority, category, or tags). Status updates, comments, and attachments flow both directions automatically.
Real-World Application: A technology company syncs Salesforce cases to Jira. When a case reaches a certain priority threshold, Exalate creates a Jira work item with full customer context. Developers resolve the work item, and the status update flows back to Salesforce automatically. Support reported saving 15 hours per week in manual updates.
ITSM-to-Development Handoffs
Challenge: Operations teams record incidents in ServiceNow or Jira Service Management, but resolving them requires development work tracked in separate systems.
Solution: Integration connects ITSM platforms with development trackers. Critical incidents create work items automatically with SLA timers intact. Resolution updates sync back to keep operations informed without manual follow-up.
Real-World Application: A financial services firm connects ServiceNow to Azure DevOps. When an incident requires code changes, the integration creates an Azure DevOps work item. Development progress stays visible in ServiceNow, and resolution triggers automatic incident closure with a full audit trail.
Multi-Vendor Project Synchronization
Challenge: Projects involve multiple partners, each using their own tools. Sharing progress requires email updates, spreadsheets, or giving external users access to internal systems.
Solution: Cross-company integration syncs relevant work items between organizations while keeping each party’s data private. Each side controls what they share and maintains their own rules and workflows.
Real-World Application: An automotive manufacturer coordinates with three suppliers, each using different platforms. Exalate syncs milestone updates and requirements between systems. Partners stay informed without needing access to the manufacturer’s internal Jira instance, and sensitive internal discussions remain private.
MSP Client Management
Challenge: Managed Service Providers handle tickets for multiple clients, each potentially using different support platforms. Routing updates manually doesn’t scale.
Solution: Integration routes tickets to the correct client platform based on configurable criteria. Multiple client systems can connect to a single MSP instance without architectural limitations.
Real-World Application: An MSP uses Freshservice internally but has clients on Zendesk, ServiceNow, and Jira Service Management. Exalate connections route incidents to the appropriate client system. Each client sees updates in their own platform without switching tools or requiring access to the MSP’s system.
Freshservice-Freshdesk Coordination
Challenge: IT teams work in Freshservice while customer support operates in Freshdesk. Both teams waste time copying ticket details between platforms or waiting for manual updates.
Solution: Automated sync between Freshservice and Freshdesk ensures IT teams get customer context without asking, while support stays informed about resolutions.
Real-World Application: When a Freshdesk ticket requires technical investigation, the integration creates a Freshservice incident with all relevant details. IT resolves the issue, and the resolution flows back to Freshdesk automatically, keeping customers informed without manual intervention.
Sales Coordination
Case: The sales team needs visibility into customer support history and SLA details to close deals more effectively.
Solution: Connect CRMs like Salesforce with project management and support platforms like Jira or ServiceNow. Sync SLA details, support ticket status, and deal-related information bidirectionally.
Real-World Application: Integrating the SLA details from Jira with the user information field in Salesforce provides more insights about the deal value and the customer priority. When the support team resolves a critical work item in Jira, the Salesforce Case is updated automatically, giving the account manager real-time visibility into customer satisfaction.
Legacy System Integration
Case: An enterprise still runs critical operations on legacy systems that don’t natively integrate with modern SaaS platforms.
Solution: The right integration solution can let you synchronize legacy systems with modern enterprise applications. Sometimes this requires modernizing the legacy system first. But other times, the integration solution can address the disparity in architecture to create functional synchronization by using APIs or custom connectors.
Real-World Application: A financial services firm running an on-premise mainframe system can connect it with Salesforce and ServiceNow through a middleware-based integration, allowing customer service agents to access legacy records without needing to log into the mainframe directly.
Where Enterprise Integration Platforms Are Headed
The future for integration platforms connecting enterprise applications is bright thanks to technological innovations and evolving business needs.
- Hybrid and Multi-cloud Integration: With businesses leveraging a mix of on-premises and cloud-based solutions, integration platforms will focus on connecting these diverse environments, ensuring smooth data and process synchronization across hybrid and multi-cloud setups.
- AI and Machine Learning Integration: Enterprise integration platforms will incorporate AI and machine learning capabilities to automate data mapping, detect patterns, predict potential integration issues, and generate configurations from natural language requirements. The rise of AI assistants like Aida and AI-assisted scripting tools is just the beginning.
- IoT Integration: As the Internet of Things (IoT) ecosystem grows, integration platforms will facilitate connections between IoT devices, sensors, and data streams with core business systems.
- Agentic AI and Orchestration: As AI agents become an opportunity for intelligent automation and technological leadership, the ability to create, govern, and manage AI Agents and other AI tools is becoming an essential feature for enterprise integration platforms.
- Low-Code/No-Code Integration: The democratization of integration will continue through low-code/no-code platforms, empowering non-technical users to create and manage integrations and accelerating development cycles.
Where to Start
If you’re running two or three tools with a simple one-way handoff, a no-code platform like Zapier will get you there without much setup. If you’re connecting systems across company lines, need true bidirectional sync, or have to keep sensitive data under your own control, that’s a different category of platform entirely.
Start by listing the systems you need connected today and the ones you’ll likely add in the next year. That list tells you more about which platform fits than any feature comparison will.
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Frequently Asked Questions
What are enterprise integration platforms?
Enterprise integration platforms (EIPs or EiPaaS) are software frameworks that enable organizations to connect and unify their diverse systems, applications, and data sources. These platforms provide tools for designing, implementing, and managing various integration flows, allowing for seamless communication and data sharing between different parts of the organization.
What is an example of EAI (Enterprise Application Integration)?
An example of Enterprise Application Integration (EAI) is when a company uses EAI to connect its Customer Relationship Management (CRM) system with its Inventory Management system.
This integration allows real-time updates of customer orders and inquiries to be automatically reflected in the inventory levels, ensuring accurate order fulfillment and reducing the risk of overcommitting or underdelivering on products. The EAI helps improve operational efficiency and provides a unified view of customer interactions and available inventory across the organization.
What’s the difference between EAI and iPaaS?
EAI is the broader idea: connecting enterprise applications to share data and cut down manual work. iPaaS is one way to deliver it, specifically a cloud-hosted service. Some EAI tools are iPaaS platforms. Others, like Exalate, are purpose-built for deep, bidirectional sync between specific platform categories rather than broad, shallow connectivity across everything.
What platforms does Exalate support for enterprise integration?
Exalate supports bidirectional integration between Jira Cloud, ServiceNow, Salesforce, Azure DevOps, Zendesk, GitHub, Freshservice, Freshdesk, Asana, and additional platforms through custom connectors. You can sync data across multiple platforms simultaneously in mesh, star, hub-and-spoke, or any network topology your workflows require. You can also request a custom connector.
Can Exalate handle complex data transformations?
Yes. Its Groovy-based scripting engine supports complex field mapping, conditional logic, and format conversion between systems, which covers the cases where AI-assisted configuration alone isn’t precise enough.
How does AI-assisted configuration speed up integration setup?
AI-assisted configuration tools like Exalate’s Aida convert natural language requirements into working sync rules. Instead of writing scripts manually, you describe what you want to sync, and AI suggests the appropriate configuration. This approach has reduced implementation time by 50% and decreased script errors by 85%.
What security features should enterprise integration platforms include?
Enterprise-ready platforms should include encryption (TLS 1.2/1.3) for data in transit and at rest, JWT authentication, role-based access controls, multi-factor authentication, and compliance certifications like ISO 27001:2022 and GDPR. Additional protections include Endpoint Detection and Response systems and a monitoring center.
Can I outsource integration setup and maintenance?
Yes. If you’d rather not dedicate internal engineering time to configuration and monitoring, third-party vendors and managed service offerings, including Exalate’s, can handle setup and ongoing maintenance for you.
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