Data lake upstart Upsolver takes aim at Databricks
San Francisco-based startup Upsolver is launching a new service, dubbed SQLake, that company officials say will take on Databricks’ Delta Live Tables to meet enterprise demand for SQL-oriented, data pipeline automation.
SQLake, just like Delta Live Tables, is looking to lower the barriers to entry for complex data work, such as keeping ETL (extraction, transformation, transport, and load) pipelines healthy, by using SQL as the preferred language.
Generally available now, SQLake offers a SQL-based, self-orchestrating data pipeline that treats all data as data in motion, thereby automatically parsing the dependencies between each step in the pipeline to optimize the flow of data, the company said.
