Hive lets you write data queries in an SQL-like language — the Hive Query Language (HQL) — that are converted to map/reduced tasks, which are then executed by the Hadoop framework.

The resulting Hadoop-based data warehouse application became Hive, and it helps to process more than 10TB of Facebook data daily. Now Hive is available as an open source subproject of Apache Hadoop.

Dataguise, a provider of sensitive data governance, has announced that DgSecure now provides sensitive data monitoring and masking in Apache Hive.

Quest Software has unveiled support for Apache Hive in its two free NoSQL tools, Toad for Cloud Databases and OraOop. Additional enhancements include Eclipse support in Toad for Cloud Databases, and ...

AtScale, a maker of big data reporting tools, has published speed tests on the latest versions of the top four big data SQL engines. Conclusion: Time to upgrade!