April 30, 2019 By Kiran Guduguntla 1 min read

IBM Analytics Engine v1.2 will be available May 15, 2019

We are excited to inform you about the new version of IBM Analytics Engine v1.2 that will be available starting May 15, 2019. Along with this release, Analytics Engine v1.0 will be sunset.

IBM Analytics Engine, built on separate integration points and compute and storage architecture, incorporates Hortonworks Data Platform and Apache Spark. Analytics Engine v1.2 is built on Hortonworks Data Platform v3.1 (HDP). With this new version, almost all the components of HDP have been upgraded. For detailed list of software components, please refer to Analytics Engine Cloud Docs

The new version will be delivered in the following three packages

  • AE 1.2 Hadoop

  • AE 1.2 Spark

  • AE 1.2 Hive LLAP

AE 1.0 packages will be sunset on May 15, 2019. To start using the new version of the service, you can simply delete your AE 1.0 cluster and provision a new cluster with AE1.1 or AE1.2 packages.

Here’s what you need to know

Service changes announce date: April 30, 2019

Go-live date for Analytics Engine 1.2: May 15, 2019

Deprecation date for Analytics Engine 1.0: May 15, 2019

Starting May 15, 2019, new clusters with AE 1.0 packages cannot be provisioned. New nodes can not be added to existing AE 1.0 clusters. However, existing v1.0 instances will continue to be supported until Sep 30, 2019.

End of Support Date for Analytics Engine 1.0: Sep 30, 2019

  • Any instance of AE 1.0 still provisioned as of the End of Support Date will be deleted.

  • Please delete your AE 1.0 service instances before the End of Support Date (i.e., Sep 30, 2019).

We strongly recommend you to move your applications to the new version of IBM Analytics Engine in order to get access to the latest versions of Apache Spark and Apache Hadoop ecosystem components.

More from Analytics

IBM acquires StreamSets, a leading real-time data integration company

3 min read - We are thrilled to announce that IBM has acquired StreamSets, a real-time data integration company specializing in streaming structured, unstructured and semistructured data across hybrid multicloud environments. Acquired from Software AG along with webMethods, this strategic acquisition expands IBM's already robust data integration capabilities, helping to solidify our position as a leader in the data integration market and enhancing IBM Data Fabric’s delivery of secure, high-quality data for artificial intelligence (AI).  According to a Forrester study conducted on behalf of…

Fine-tune your data lineage tracking with descriptive lineage

4 min read - Data lineage is the discipline of understanding how data flows through your organization: where it comes from, where it goes, and what happens to it along the way. Often used in support of regulatory compliance, data governance and technical impact analysis, data lineage answers these questions and more.  Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to…

Reimagine data sharing with IBM Data Product Hub

3 min read - We are excited to announce the launch of IBM® Data Product Hub, a modern data sharing solution designed to accelerate data-driven outcomes across your organization. Today, we're making this product generally available to our clients across the world, following its announcement at the IBM Think conference in May 2024. Data sharing has become the lifeblood of modern organizations, fueling growth and driving innovation. But traditional approaches to data sharing can often be a bottleneck constricting the seamless sharing of data.…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters