SAP HANA Vora 1.3 was made Generally Available on Dec16th 2016, With this release we extend the capabilities of Vora to deliver features beyond SQL modeling by proving three new engines to enable multi modal capabilities with Vora.
By continuing to leverage the Apache Hadoop and Apache Spark technologies, Vora1.3 natively delivers the following engines to extend data processing in the BigData landscape,
Time Series – A distributed in-memory engine that enables time series data to be efficiently stored and analyzed in distributed environments. It supports highly compressed time series storage and time series analysis algorithms that work directly on top of the compressed data, providing features such as standard aggregation, granularization, and advanced analysis.
Graph engine – A distributed in-memory engine that supports graph processing and allows you to execute commonly used graph operations on data stored in SAP HANA Vora.
Document Store (JSON) – A distributed in-memory JSON document store that supports rich query processing over JSON data. The document store uses a special binary JSON format and supports schema-less tables. By combining JSON with most of the regular SQL features, it allows you to use SQL for JSON as well
Vora 1.3 also introduces the concept of memory-to-disk “spill over”by using a disk engine which enables storage and processing of petabytes of data
Apart from the above features Vora1.3 also enhanced the OLAP features by providing new functionality like Unit Of Measure (UoM) conversions. In this release we deliver the Currency Conversion feature which can be used from Vora modeler when building SQL models on top of HDFS/S3/Swift data stored on HDFS or on the cloud.
Vora1.3 also simplifies the install and configuration process by continuing to integrate the installer thru Hadoop Admin tools like Cloudera Manager, Ambari, MapR CS and in this version we deliver a new Vora Manager UI for easier administration and monitoring of the different Vora service
One of the key challenges and opportunities in the BigData landscape is on how to effectively secure the cluster and all communications around it. In this release SAP HANA Vora extends the Kerberos configuration to allow secure connections between the various Vora components and Hadoop/HDFS components
SAP HANA Vora Modeler has been enhanced to deliver several new features like interacting with Time Series data, extend hierarchies to create parent-child hierarchies and level-based hierarchies and enhancing the expression editor.
Learn more about these different features in additional blogs by Jason and Puntis on the new engine features and also listen to the recording of the 1.3 (beta) webinars. Stay tuned for more webinars in early 2017 on more Vora webinars.