Knowledge lake upstart Upsolver takes goal at Databricks

San Francisco-based startup Upsolver is launching a brand new service, dubbed SQLake, that firm officers say will tackle Databricks’ Delta Live Tables to fulfill enterprise demand for SQL-oriented, knowledge pipeline automation.

SQLake, similar to Delta Dwell Tables, is trying to decrease the boundaries to entry for complicated knowledge work, reminiscent of retaining ETL (extraction, transformation, transport, and cargo) pipelines wholesome, through the use of SQL as the popular language.

Typically out there now, SQLake presents a SQL-based, self-orchestrating knowledge pipeline that treats all knowledge as knowledge in movement, thereby mechanically parsing the dependencies between every step within the pipeline to optimize the movement of information, the corporate stated.

SQL is the most well-liked knowledge question language and attracts customers together with data engineers, data scientists, analysts, product managers, and different knowledge customers inside an enterprise.

Upsolver is providing pricing aimed to draw person consideration to a brand new different for knowledge pipeline automation. The brand new service is offered for $99 per TB of information ingested with no minimal dedication, the corporate stated, including that the brand new service was out there on AWS Market with the choice to run a 30-day free trial.

Upslover, based in 2015 by knowledge engineers Ori Rafael and Yoni Ein, counts Cox Automotive, IronSource, ProofPoint and Wix amongst its clients. The corporate is headquartered in San Francisco, with R&D centered in Tel Aviv.

Buyers embody Scale Enterprise Companions, Vertex Ventures US, Wing Enterprise Capital, and JVP.