San Francisco-based startup Upsolver is launching a brand new service, dubbed SQLake, that firm officers say will tackle Databricks’ Delta Stay Tables to satisfy enterprise demand for SQL-oriented, knowledge pipeline automation.
SQLake, identical to Delta Stay Tables, is trying to decrease the limitations to entry for complicated knowledge work, similar to preserving ETL (extraction, transformation, transport, and cargo) pipelines wholesome, by utilizing SQL as the popular language.
Usually accessible 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 circulate of knowledge, the corporate stated.
SQL is the preferred knowledge question language and attracts customers together with knowledge engineers, knowledge scientists, analysts, product managers, and different knowledge customers inside an enterprise.
Upsolver is providing pricing aimed to draw consumer consideration to a brand new different for knowledge pipeline automation. The brand new service is offered for $99 per TB of knowledge ingested with no minimal dedication, the corporate stated, including that the brand new service was accessible 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 prospects. The corporate is headquartered in San Francisco, with R&D centered in Tel Aviv.
Traders embody Scale Enterprise Companions, Vertex Ventures US, Wing Enterprise Capital, and JVP.
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