Aginity Connects to Snowflake Using Integrated OAuth Authentication
December 10, 2019 – Chicago, IL – Aginity, an active analytics catalog company, today announced it is now a Select Technology Partner in the Amazon Web Services (AWS) Partner Network (APN). Aginity’s collaborative SQL environment, Aginity Team, is available for deployment within AWS to manage, share and reuse SQL across analysts.
Chicago, Illinois, November 6, 2019 /PRNewswire/ — Today, we’re announcing that we’ve added support for SQL Server 2019 in our next-generation SQL analysis products, Aginity Pro and Aginity Team.
IBM Db2 customers can now discover, manage and share SQL in a collaborative environment using Aginity Pro and Aginity Team.
Aginity Pro and Aginity Team help Pivotal customers discover, manage and share SQL in a collaborative environment.
The only active analytics company helps Microsoft SQL Server customers discover, manage and share SQL in a collaborative environment.
Chicago, Illinois, August 6, 2019 — Aginity, the “active analytics” company, announced it is working with Microsoft to help enterprises discover, manage, share and re-use analytic code for Microsoft Azure SQL Data Warehouse, the leader in price-performance in cloud analytics.
Partnership between the only active analytics company and cloud-based data warehouse rewrites how organizations find, share and use analytic code.
Trusted Analytics Management Leader Debuts “Aginity Team” Today
CHICAGO, June 12, 2019 /PRNewswire/ — Aginity, Inc., the active analytics catalog company, today announced that Banorte, one of Mexico’s largest banking and financial services companies, is using Aginity Enterprise to maximize analytic return and reduce business risk. During the initial pilot Aginity showed how to significantly increase the productivity and consistency of Banorte’s analytic output, resulting in more minds innovating across the organization and building off of each other.
Data scientists, data analysts, and data engineers gain greater efficiency with the ability to easily reuse SQL rather than recode it.