This is a performance testing framework for Spark SQL in Apache Spark 2.2+. The framework contains twelve benchmarks that can be executed in local mode. They are organized into three classes and ...

Databricks stands out as a widely embraced platform dedicated to the creation of data lakes. Within its framework, it extends support to a specialized version of Structured Query Language (SQL) known ...

Databricks, the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its flagship product, Databricks Cloud, today announced they have developed ...

Data analytics contender Databricks offers a platform that, along with the open source Apache Spark technology on which its core is based, has long been a favorite for attacking streaming data ...

Databricks says Spark 2.0 is five to 10 times faster than Spark 1.6 for some operators due to Tungsten’s Phase 2 whole ... Standard SQL support. Spark 2.0 expands on Spark’s SQL capabilities ...

Databricks Inc., the primary commercial steward behind the popular open source Apache Spark data processing framework for Big Data analytics, published a new report indicating the technology is still ...

In a post that ignited fierce debate, Snowflake CEO Sridhar Ramaswamy shared his thoughts on the total cost of ownership (TCO) comparison between Snowflake and what he referred to as “Spark-based SaaS ...

No SQL engine supports the breadth of the ANSI standard out of the box, and Spark SQL’s ANSI journey has been a work in progress. With Spark 3.0, the engine gains closer adherence to the standard. The ...