Ocient Hyperscale Data Warehouse scales data operations

Data warehouse vendor Ocient updated its namesake platform with a new release that is generally available today.

Ocient, based in Chicago, was founded in 2016 and has been iterating its Hyperscale Data Warehouse platform over the last six years.

While it has had production customers, the vendor considers version 19 of its Hyperscale Data Warehouse to be the first release of the platform that is ready for broader enterprise adoption, particularly in the ad tech, telecommunications, government, logistics and financial services industries Ocient targets.

A core focus for Ocient is being able to execute queries quickly at large scale, with data sets that can include a trillion rows or more. To support that scale, Ocient Hyperscale Data Warehouse platform version 19 includes a SQL optimizer to accelerate queries.

Ocient also integrates what it calls a hyperscale extract, transform and load (ETL) service to help get large volumes of data from source locations into the data warehouse. The new data warehouse service also supports multiple data types, including geospatial data.

Version 19 can run on premises and in the cloud.

“It’s interesting to see a startup supporting the option to run high-scale analytical data warehouse workloads on premises and in private clouds, as well as on AWS and Google Cloud,” said Doug Henschen, an analyst at Constellation Research.

I do like Ocient’s focus on very specific use cases. These are the sorts of organizations that still have their own data centers and that often prefer the performance and control advantages and the predictable costs of running mission-critical workloads on premises.