Spark SQL: Apache’s Spark project is for real-time, in-memory, parallelized processing of Hadoop data. Spark SQL builds on top of it to allow SQL queries to be written against data.

Doris has roots in Apache Impala and Google Mesa. Doris, according to the Apache Software Foundation, is based on the integration of Google Mesa and Apache Impala, an open source MPP SQL query ...

Apache Flink has contained SQL functionality since Flink version 1.1, which introduced a SQL API based on Apache Calcite and a table API, too. While the combined SQL and Table API today provides ...

The Apache Drill framework aims to provide just such a SQL engine. Drill can operate across multiple distributed data stores such as HDFS or Amazon S3, relational databases that support JDBC or ODBC, ...

But Apache Drill makes it easier to launch SQL queries against the freshest set of data available, regardless of where it resides, he said. In some cases, ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

News. Apache Hive Updated with SQL-on-Hadoop Features. By David Ramel; April 22, 2014; Hortonworks Inc. yesterday announced a new version of Apache Hive, the open source data warehouse software ...

Apache Kafka is a key component in data pipeline architectures when it comes to ingesting data. Confluent, the commercial entity behind Kafka, wants to leverage this position to become a platform ...

Greetings, Has anyone had any experience using VMWare Converter to convert a CentOS 4.4 box running Apache and Sybase SQLanywhere to an ESXi server? Any particular suggestions or tips for things ...

“So you’re seeing 60, 70, 100 times performance increase just because of this Stinger initiative works at making apache Hive, the de facto SQL interface, faster as well as more SQL compliant,” ...