Learn & Query On
Our November 2021 update features several new capabilities, including a new direct connection to BigQuery, new support for generic JDBC connections, increased platform coverage for Amazon Redshift and Postgres, and new file export configuration options.
As strong advocates for analytic code sharing and reuse, we’re often asked why we don’t integrate with GitHub or other Git repositories. The simple answer is that Git isn’t often a great fit for sharing SQL code. This post explains why, and suggests a better alternative.
Our October 2021 release features several updates, including a new data upload interface, results grid view toggle, instant data explore from the database object tree, a full rollout of easy-to-read explain plan output, and a scheduling shortcut within the Aginity Premium catalog. View Release Overview Demo.
Aginity 21.9 release features several helpful updates, including expanded EXPLAIN plan coverage for Amazon Redshift and Snowflake, quick role switching for Snowflake connections, and increased databased object visibility for Greenplum and Postgres. View release overview demo.
Centralized analytics moves too slowly to respond to an evolving set of business needs. There’s simply no way a centralized data engineering team can understand and build all the analytic capabilities every team in the business needs…nor can it be fast enough.
Aginity 21.7 includes several helpful updates, including broader platform coverage, improved error messages, and expanded database filtering and query editor insertion functionality. This release cycle also features several enhancements specific to Aginity Premium, our platform for collaborative analytics.