Oracle rolls out cloud data integration system for real-time analytics

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Oracle Corp. on Monday issued a new bid to join Amazon Web Services Inc. at the top of the public cloud summit with the introduction of a new service that aims to integrate enterprise customers’ data with real-time analytics.

On Monday, the company rolled out its Data Integrator Cloud Service that’s designed to accelerate support for real-time analytics for enterprise customers. The idea is to address the challenge of delivering insights from data analytics to the appropriate applications and employees who use them.

More specifically, the service is designed to integrate data that’s derived from the cloud, on-premises, business applications, Internet of Things and web sources, the company said. It also helps to integrate data where it’s stored “without having to copy data unnecessarily” to remote locations, said Oracle’s Vice President of Product Management Jeff Pollack in a statement.

A simpler explanation is that the new Data Integrator Cloud Service offers a way to perform extract, transform and load, or ETL, operations on large amounts of data. ETL scrambles the standard ETL process by pulling data into a new database and transforming it there, as opposed to transforming the data at the source and then saving the results elsewhere. It’s a way of taking the pressure off of systems that are busy handling customers, Oracle explained.

The service is can access standard databases such as Hive, HDFS, Hbase and Sqoop, and it can use SQL, HiveQL or bulk transfer scripts to retrieve records. It also comes with mapping capabilities that make it easier to switch between underlying analytics technologies without the need for any manual coding. By automating those tasks, enterprises should enjoy benefits including better cloud services performance and reduced development costs, Oracle said.

The move is part of a strategy Oracle outlined last year to chip away at Amazon Web Services’ leading position in the public cloud. That strategy includes an expanded analytics package that encompasses applications, databases and infrastructure. In addition, Oracle wants to seize on the growing number of enterprises that use multiple cloud vendors by matching distributed applications and workloads to different platforms in order to boost performance and avoid vendor lock-in.

Oracle’s Data Integrator Cloud Service is priced on a per-connection basis, with a maximum of 100,000 five-megabyte messages per connection, per day. The company offers a non-metered service priced at $650 per connection with a minimum of six connections per month, and a metered pay-as-you-use service priced at $1,300 per connection, with a minimum of two connections per month.