3 Use Cases of Common Integration Platform as a Service
The most common Integration Platform as a Service use cases that all employers need to know before selecting the optimal and the best software are discussed
Fremont, CA: Cloud and hybrid integration are now becoming the new norm for enterprises that look forward to connect applications and data for faster and efficient insights. The cost-benefit is enormous as well, since users can save time and resources by working at a comfortable pace. There is also Integration Platform as a Service software, which can be deployed faster than conventional enterprise application integration (EAI) middleware.
Evaluation of Integration Platform as a Service solution can be a challenging process, as one requires a great deal of thorough research. Not only does the Integration Platform as a Service solve several of enterprise integration challenges, but these tools can also be used across a plethora of verticals and deployment models. Integration Platform as a service technology incorporates both EAI and self-service data preparation. These services typically operate wholly in the cloud and connect cloud data sources to applications that are on-premises and vice versa.
With these points in mind, the list of common Integration Platforms as a Service use cases employers must follow are:
Daily, enterprises run on an average of approximately 500 different applications. This count will undoubtedly rise over the next few years, but the salient feature is that these applications will not fulfill communications with one another. Application integration comes into play here. In some approaches, a single solution can collect all incoming data and pushes it out to relevant applications. This model is known as a broker model. The benefit of this application integration is an automated workflow.
Before the advent of application integration tools, the chain of events described above would involve a collection of emails. At scale, this would translate to significant losses in terms of time and efficiency as workers manually transcribe and upload data. When analyzing the application integration software, it is a must that it remains connected to every data source in the company. Due to the lack of interoperability, enterprises are facing data siloes—pools of information that may or may not be useful in analytics, but are isolated from view.
Data integration is the combination of both technical and business processes utilized to combine different forms of data collected from disparate sources. The process generally supports the analytic processing of data by controlling, mixing, and presenting each data store to every end-user. Organizations have used data integration software to enable enterprise-wide data delivery, data quality, governance, and analytics. Data integration tools ensure that organizations are better off when they understand and retain their customers, encourage collaboration among the departments, reduce project timelines with automated development, and maintenance of security and compliance.
Traditional data integration providers continue to offer features for bulk/batch, message-oriented movement, and replication.
API Management is the method of controlling, distributing, and analyzing the APIs that interlink applications and data across on-premises and cloud systems. The management of API enables organizations to design or create or apply others’ APIs to monitor activity and guarantees the fulfillment of the developer’s needs. The entire process entails the centralized control of an API program via analytics, access controls, and developer workflows. Standard API management features comprise a developer portal, API gateway, API lifecycle management, and API analytics.
The process of selecting an API management vendor has become more complex over time due to a growing number of capabilities offered by the major players. The skills include some of the in-tool features for a wide array of use cases, but also services and support offered by the vendor that help users with specific strategies.
See also: Top Cloud Consulting/Services Companies