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Oracle Stream Analytics 19.1 is Released

Thomas Vengal
Director, Product Management

 The Oracle Stream Analytics product development team is pleased to announce the general availability of Oracle Stream Analytics 

Oracle Stream Analytics allows users to process and analyze large scale real-time information by using sophisticated correlation patterns, enrichment, and machine learning. It offers real-time actionable business insight on streaming data and automates action to drive today’s agile businesses

What’s New in Oracle Stream Analytics 19.1 ?

  • New Features and Components
    • Specified Window types
    • IN function
    • Table Chart
    • Geofence Tile
    • Coherence Reference with support to read Plain Old Java Object (POJO
    • Predictive Model (out of beta release, fully supported now)
  • Productivity Improvements
    • Changing a Stream
    • Advanced Pipelines
    • Splitting pipeline into multiple branches
    • Insert of intermittent stages
    • Output of an existing stage can be consumed by source for another stage in pipeline.
  • Metadata Export/Import
    • Export / Import of Slices, cubes and dashboards
    • Export / Import of ML Models
    • Export / Import of Custom Objects
    • Export / Import of full catalog
    • Bulk operations in Catalog
  • Simpler  Upgrade
    • Simple & Automatic repository upgrade from
    • Kafka client libraries included in installer
    • Spark binaries added to the same download location as separate installer
  • Enterprise Deployment Readiness
    • Security Enhancement:  LDAP Support for Jetty
    • High Availability
    • Web tier HA
  • Accessibility Improvements
  • Newer Certifications like Oracle 19.1, MySQL 5.7, Spark 2.4, Hadoop 2.7, 2.8 etc

More Information on Oracle Stream Analytics 19.1


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