In the pursuit of delivering exceptional user experience, applications ought to become interoperable and exchange insights across platforms. This was the vision behind the super-success of Integration Platform as a Service (iPaaS) that has provisioned seamless integration without any infrastructure hassles.
As a result, the IPaaS market size continues its triumphant growth. It is expected to achieve a CAGR of 30.3% thereby taking the overall market size to USD 13.9 billion by 2030. Since IPaaS solutions set the data and application integration standards for an organization, there’s a lot of dependency on them. At the top of it, the post-Covid era expects more efficient data insights that address real-world problems. Some of the leading names include Mulesoft, IBM, K2View, Informatica, SAP AG, and others.
Making the next move – Enterprise Integration Platform as a Service (EiPaaS)
As per Gartner, it is a suite of cloud services that address existing challenges in data and application integration. These include concerns about the adoption of emerging tech such as AI, IoT, API management, and several digital integration hub capabilities.
To put it simply, EiPaaS connects systems in silos in a vast enterprise landscape and provides unified solutions to all the end-users across verticals. Working as a conduit enables communication among multiple systems alongside integration and data sharing.
With EiPaaS, enterprises can leverage the unlimited potential of cloud systems without any impact on security.
How Does EiPaaS work?
EiPaaS supplies the foundational infrastructure to deploy other software apps and create connections with a cloud service or an on-premise environment.
An enterprise using iPaaS can set up parameters to choose any specific type of connections that will be allowed on the platform. These can either be in the form of prebuilt connectors, APIs, or any other rule utilizing a low-code connector approach.
EiPaaS can have different use cases contrary to traditional point-to-point solutions and include A2A (application-to-application) integration, CSI (cloud service integration), B2B integration, IoT integration, and mobile app integration scenarios.
This has been possible with the development, deployment, and execution of integration processes. These processes bring together various endpoints in a deployment model that allows them to work in collaboration with each other.
EiPaaS solutions usually work during the transformation process when the data is arriving at the hub. Here are a few tasks it takes care of:-
- Filter data so that it can remove and pass data that fits a set of given rules.
- Cleans and fixes data by finding any inconsistencies and removing any spurious fields. This ensures that all fields have a similar standard format.
- Transform data from the format available by one service to the format required by another service.
- Ensures privacy by removing any personal information and replacing it with either anonymous synonyms or placeholders.
- Provides additional security, iPaaS adds encryptions that protect data before shipping it to another service.
- Lastly, iPaaS solutions are highly intuitive as they deploy AI algorithms and machine learning to watch out for any anomalies that need to be flagged.
EiPaaS solutions are developed to provision enterprise-grade that require higher availability, disaster recovery, Service-level agreements, privacy, and other data security concerns.
At the same time, EiPaaS should ensure better integration than traditional ESB. They should focus on making the enterprise landscape more scalable and support different types of connected and distributed apps. Other essential features include pre-built connectors, enhanced security protocols, disaster recovery, identifying & troubleshooting issues, and low/no-code builder for creating visual connections. For those searching for an apt system, these features are the bare minimum.
Furthermore, EiPaaS platforms should address the issues in traditional systems by ensuring the below
- Security and protection protocols that provide fraud detection and user authorization.
- Better privacy compliances that match evolving industry standards issued by the Payment Card Security Standards Council and other regulations like GDPR.
- Ensure continuous delivery by empowering data teams with tools to design, integrate, deploy and deliver apps internally or on the cloud across a given organization.
- Test continuously with deployment abilities and automation to give teams more time for marketing across different environments.
- The right iPaaS platform should support and integrate all leading cloud platforms like Microsoft Azure, Google Cloud, AWS, and locally hosted virtual architectures as well.
High Performing EiPaaS with Data Fabrics
Off-late data-as-a-fabric has gained acceptance among organizational analytics practices. K2View launched the world’s first Micro-DB-backed fabric model also released its EiPaaS solution on similar architecture. The fabric encapsulates entity-level data in individual micro-databases thereby ensuring on-demand and accurate insights at the front end. Now, the patented technology offers unequalled performance and lets organizations use one schema for multiple use cases.
This includes data pipelining, provisioning, TDM, and others. Likewise, there have been multiple other fabrics that aim to provide a modular and scalable architecture. This means the data lifecycle including integration, enrichment, and preparation are all aggregated in a unified and extensible platform.
As of now, K2View is the only data fabric on a public cloud that also offers on-premise and hybrid deployments. Going forward, more solutions will join the league in this regard.
Like all technologies, cloud systems have to embrace change. Given the uncertain increase in digital solutions recently, it is a mandate and not just a choice for organizations to leap. For iPaaS, contemporary solutions, fabric, as discussed above, shall provide the needed push. The global industries are gearing up for it, what’s your plan?