Aginity Provides a Collaborative Experience for SQL Server 2019 Customers to Discover, Manage and Share SQL
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.
At Aginity, we are lucky to interact with Data Analysts, Data Engineers and Data Scientists from across a wide range of industries and company sizes. It gives us a birds-eye view of some trends in data processing and the thousands of users of our SQL query applications…
IBM Db2 customers can now discover, manage and share SQL in a collaborative environment using Aginity Pro and Aginity Team.
It’s been an unprecedented year of growth for us at Aginity. With the recent launch of our two next-generation solutions Pro and Team, we’ve got tens of thousands of individuals and enterprises depending on our products in their everyday workflow.
If the retirement of Netezza has you floundering, we’ve got at least one point of consolation: this doesn’t mean you have to part ways with Aginity! In addition to supporting IBM’s next generation database offerings with support coming out this year, Aginity already enables your SQL query and development workloads on 10 different databases (and counting), including cloud specialists like Azure Data Warehouse and Amazon Redshift.
We’ve undertaken an ambitious mission: to reimagine and transform what’s possible in analytics management.
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.
It feels like every conference talk, blog post, podcast or marketing message that I get these days is touting the amazing benefits of Data Science, Machine Learning (ML) or Artificial Intelligence (AI) (or if you are old school, you probably recall the marketing and promotion of many similar techniques as “Statistical Modeling”).
When we first built Workbench for our own use, we had no idea that 10s of 1000s of users would come to rely on it for their daily tasks across a host of on-prem and cloud analytics platforms. We hear daily from users who have loved having access to such a robust (and free!) product for the past 10 years, but we have also heard many requests for new features, new platforms and for additional support which was a challenge for us to provide…