No need to spin up separate Apache Spark clusters, vendor claims Snowflake is launching a client connector to run Apache ...

In concert with the shift to DataFrames, most applications today are using the Spark SQL engine, including many data science applications developed in Python and Scala languages. The Spark SQL engine ...

First created as part of a research project at UC Berkeley AMPLab, Spark is an open source project in the big data space, built for sophisticated analytics, speed, and ease of use. It unifies critical ...

Spark SQL has the advantage of integration with core Spark, Spark Streaming and Spark MLLib. Meanwhile, database vendors let you see Hadoop data as if it were conventional tables in your ...

Today AtScale released its Q4 benchmark results for the major big data SQL engines: Spark, Impala, Hive/Tez, and Presto. The findings prove a lot of what we already know: Impala is better for ...

SQL Analytics endpoints make use of the Delta Engine and Photon technology added to Databricks in June. One way to think of Delta Engine is as an optimized C++ based rewrite of the Spark SQL engine.

Structured Streaming: Laying the foundation for continuous applications by providing high-level declarative streaming APIs based on DataFrames and Datasets built atop Spark SQL engine that works on ...

Looker, provider of a BI platform, has added support for Presto and Spark SQL as well as updates to its support for Impala and Hive. Looker allows enterprises to describe, define and analyze the data ...

The importance of Impala to Cloudera is clear, which is why you see Cloudera adding support nested data types, such as JSON, to Impala. But not all SQL engines are equal, which is why Cloudera is also ...