However, while the addition of a SQL front-end was a significant step forward for the big data platform in terms of performance and workloads, it still lags behind such top relational query engines ...

Apache Spark rose to fame as an in-memory data processing framework frequently used with Hadoop, but it’s fast transforming into a nucleus for building other data-processing products. Newly released, ...

The same team that created GemFire builds on Spark in a new open source database that can analyze OLTP and OLAP workloads side-by-side The team behind Pivotal’s GemFire in-memory transactional data ...

You probably did not hear it here first. Spark has been making waves in big data for a while now, and 2017 has not disappointed anyone who has bet on its meteoric rise. That was a pretty safe bet ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

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Enterprise software development and open source big data analytics technologies have largely existed in separate worlds. This is especially true for developers in the Microsoft .NET ecosystem. The ...

The open source project .NET for Apache Spark has debuted in version 1.0, finally vaulting the C# and F# programming languages into Big Data first-class citizenship. Spearheaded by Microsoft and the ...