What's New in GigaSpaces Version 14.2

AnalyticsXtreme to Accelerate Your Data Lake

GigaSpaces's new AnalyticsXtreme feature for the GigaSpaces Platform improves on the traditional Lambda architecture to enable much faster querying of both real-time and historical data, and simplifies business application development by providing a single API for accessing data. Functionality includes:

• Data life cycle management for moving data from the data grid to external data storage as it ages.
• GigaSpaces JDBC interpreter and driver for querying data from both the speed layer (data grid) and the batch layer (external data storage).
• Out-of-the-box support for data formats such as Apache Parquet and Avro.
• Support for SQL, Spark, and JDBC queries.

  For more information, see Data Lake Acceleration.

Support for Apache Spark Version 2.4.0

Release 14.2 includes an upgrade to Apache Spark 2.4.0, which provides the following benefits:

• Scala 2.12 experimental support - Now you can build Spark with Scala 2.12 and write Spark applications in Scala 2.12.
• Apache Avro as a built-in data source - Inline Spark-Avro package with logical type support, better performance and usability.
• Spark datasource for image format - added image reading support in the Spark source API.

Kubernetes Enhancements

The upgrade to Apache Spark 2.4.0 also provides the following Kubernetes-related enhancements:

• PySpark and R bindings - Docker images to include Python Support.
• Client mode support within Spark when running in the Kubernetes cluster back end.
• Support for mounting the volume in the Spark driver and executor pods in Kubernetes.

GigaSpaces Products Now Available with Red Hat OpenShift

InsightEdge and XAP are now Red Hat-certified containers, available in the official Red Hat registry. Customers can easily download InsightEdge and XAP container images to create, test, and run applications. and deploy them to the target platform.

Look for our GigaSpaces products in the Red Hat Container Catalog.