Oracle has expanded the Oracle Cloud Platform’s data integration offerings with the launch of Oracle Data Integrator Cloud.
The new cloud service is aimed at speeding and simplifying cross-enterprise data integration to support real-time analytics.
Oracle Data Integrator Cloud offers a flow-based declarative user interface along with release management capabilities. In addition, Oracle Data Integrator Cloud’s architecture, with its ELT capabilities and advanced parallelism options are designed to enable faster, more efficient loading and transformation for data marts, data warehouses, and big data systems, Oracle says.
Oracle Data Integrator has been available in on-premise form as the company’s strategic ELT tool for doing data warehouse and big data projects. With the new introduction as a cloud service, additional capabilities have been made to make it easier to use, provision, and monitor, said Jeff Pollock, vice president of product management, Oracle.
This is one of the first offerings from any vendor that is focused from the ground up on analytic data integration patterns, said Pollock, as opposed to application integration, where transactions are integrated across different cloud based SaaS tools.
Now, he said, “We see the data warehousing and big data categories really becoming much more prevalent as cloud use cases.”
With the introduction of the Oracle Data Integrator Cloud, Oracle says, organizations can improve their agility by deploying projects more quickly, reduce risk with an open, non-proprietary technology, and reduce costs with better productivity. Oracle Data Integrator Cloud provides businesses with a cloud service to execute data transformations where the data lies, with no hand coding required, and without having to copy data.
Pollock said that he sees the initial target audience for the Oracle Data Integrator Cloud Service as following the early adoption trend for data warehousing and big data in the cloud, “It is fundamentally an opportunity that every vertical and every market will end up exploiting—to run analytics from a cloud-hosted platform as a service.” That being said, he noted, there are certain categories of companies that are earlier adopters such as those in high tech, retail, and telecommunications.
The new cloud service will be particularly appealing to customers that are looking to take their data integration workloads to where the data is as opposed to having to move the data to the integration layer, said Pollock. “This service is fundamentally unique in the marketplace right now in that it can do push-down processing of large-scale data transformation on very massive amounts of datasets.” Those data transformations can be pushed into various compute workloads where customers host their data—and that can be in the Oracle Cloud, non-Oracle clouds, or on premise, he added.
“In our model we don’t have to move the data to a middle tier; we can actually push the transformation into your data warehouse or your big data environment of choice, no matter where that happens to reside—in the Oracle Cloud, in your own data center, or in a different cloud data center.” This will make it applicable to every industry and every vertical that does data warehousing, Pollock noted.
Oracle Data Integrator Cloud is integrated with Oracle’s PaaS offerings, including Oracle Database Cloud, Oracle Database Exadata Cloud, and Oracle Big Data Cloud. Oracle also delivers pre-built integration for non-Oracle solutions, allowing users to switch between underlying big data technologies, such as Hive, HDFS, HBase, and Sqoop.