Oracle updates Big Data Service to accelerate use of managed open source on Oracle Cloud

July 16, 2021 | 3 minute read
Nino Bice
Vice President Product Management AI
Text Size 100%:

July 15th, 2021 – Oracle Cloud Infrastructure (OCI) today released a major update to Oracle Big Data Service (BDS), Oracle’s fully managed Hadoop service. The new BDS version uses Oracle’s Distribution of Apache Hadoop (ODH). This version of BDS is built from the ground up to be cloud scale, and natively integrated into OCI to make it easier than ever for our customers to lift and shift or build net new analytics solutions on Hadoop’s ecosystem of capabilities, such as HIVE, Spark, and Hbase.

Get started

Creating BDS requires just a few steps. Customers can get started today logging into the OCI portal and walking through a few steps defining the size and shape of the machines that make up their cluster.

Once the cluster is running, customers can use the Ambari management UX to select different Hadoop services, that they would like to run on their BDS cluster.

What’s in the box

Component Version
Hadoop 3.1.2
Spark+ HistoryServer  3.0.2
Hbase 2.2.6
Oozie 5.2.0
Hive 3.1.2
Tez 0.10.0
Sqoop 1.4.7
Ambari 2.7.5
Zookeeper 3.4.14

The new Oracle Big Data Service continues to support existing BDS integrated capabilities, such as Big Data Studio, Cloud SQL, and OML for Spark. Please check the BDS documentation to learn more.

Oracle customer value

Oracle Hadoop customers today run the Big Data Appliance (BDA) or deploy and manage their own clusters (DIY) on-premises and need a clear path to move those workloads to OCI to save money and modernize their data estate. The new Oracle Big Data Service enables customers to lift and shift and tackle new scenarios integrating with Oracle Cloud and the rest of the Oracle data platforms, such as, Autonomous Data Warehouse, Data Flow, Catalog and Object store. Customers can now analyze all data, across a comprehensive set of capabilities.

OCI provides a range of analytics services that covers a variety of scenarios, skill-sets, and solutions. Using these services together is something we call the Oracle Lake House. Starting with today’s update, BDS is now part of the Oracle Lake House pattern.

Oracle Data Lake House


Big Data Service builds on Oracle Cloud’s competitive compute and storage pricing.  Combined with ‘pay as you go’ price models, customers will realize significant cost savings for their Hadoop workloads on the new Oracle Big Data Service. For more information, see the product web information.

Nino Bice

Vice President Product Management AI

Previous Post

Tenancy design for government agencies: Using a zone defense with multiple tenancies, compartments, and VCNs

Robert Huie | 6 min read

Next Post

The Power of Oracle Cloud Support Center

Sarah Galler | 4 min read