A GPU database made an hour-long telecom query run in under 50 seconds. SQream’s larger wager is that enterprises will stop shrinking their questions to fit their computers.
Open data is a lovely idea until the tables need tending. Onehouse sells the machinery that keeps a lakehouse fresh, fast, and available to more than one engine.
dbt began as a practical fix for analysts stuck between raw warehouse tables and impatient colleagues. A decade later, its workflow sits inside more than 100,000 data teams - and a completed merger with Fivetran is turning that humble idea into a bid for the data layer beneath enterprise AI.
Kaminario spent a decade selling flash arrays. Then it threw out the hardware, kept the software, and bet the company on a single idea: that the cloud is fast enough for anything - if you put the right layer in front of it.
Databricks is a San Francisco-based data and AI company founded in 2013 by the original creators of Apache Spark. It builds the Data Intelligence Platform - a lakehouse architecture that unifies data engineering, analytics, and machine learning on open formats. Used by more than 10,000 organizations worldwide, Databricks helps enterprises store, govern, and analyze data and build AI applications on top of it, all under a single governance model.