In addition, if your organization is transforming to a cloud-based enterprise where agility is valued, be sure to dig into the platform aspects of iPaaS and ensure you don't get locked into a technology that's only suited for one style of integration. An iPaaS solution must be built to expose and consume micro-services and be able to handle real-time application integration, as well as the new big data integration requirements that are driving predictive analytics, digital marketing and customer-centricity initiatives in the modern enterprise.
To handle the new social, mobile, analytics, cloud and the Internet of Things (SMACT) data and API requirements seamlessly, an iPaaS needs to expand and contract compute capacity to handle variable workloads while streaming data into and out of a Hadoop-based analytics infrastructure.
While integration is certainly not a new enterprise IT challenge, there's still a lot of old thinking and even older technology that must be reconsidered as cloud business application adoption grows and new approaches emerge to handle big data requirements. The good news is there is once again tremendous innovation happening in the integration market. As result, iPaaS is also gaining enterprise IT acceptance and adoption.
Sign up for CIO Asia eNewsletters.