SQream Combats Large Data with Release of SQream DB v2020.1

March 05, 2020

SQream Combats Large Data with Release of SQream DB v2020.1

SQream DB enables the analysis of more data and dimensions, at query times possible for massive data volumes.

SQream announced the latest release of its data analytics engine, SQream DB v2020.1. According to the company, SQream DB enables the analysis of more data and dimensions, at query times possible for massive data volumes.

SQream DB v2020.1 is designed for enterprises with large data stores, who are not able to analyze enough of their data to deliver new and critical insights.

SQream DB v2020.1 highlights and enhancements include:

  • Streamlined HDFS Integration
  • ORC Columnar Format Joins Parquet
  • S3 Connectivity
  • Direct Queries of Massive Data
  • Fast Iteration of AI/ML Workflows
  • Powerful Analytics

SQream DB v2020.1 is specifically designed for handling large analytic workloads and enabling the resolution of data challenges faced by enterprises with Hadoop or legacy data warehouses. SQream DB accelerates analytics, turning growing data stores into a competitive differentiator.

For more information, visit: https://sqream.com/announcing-sqream-db-v2020-1/

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Tiera Oliver, editorial intern for Embedded Computing Design, is responsible for web content edits as well as newsletter updates. She also assists in news content as far as constructing and editing stories. Before interning for ECD, Tiera had recently graduated from Northern Arizona University where she received her B.A. in journalism and political science and worked as a news reporter for the university's student led newspaper, The Lumberjack.

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