AI and enterprise technology company · COVERAGE INDEX
Databricks
Databricks combines data engineering, analytics, governance and AI on a consumption-based platform. The platform’s substantial adoption does not establish lower risk; data boundaries, operating costs and model dependencies vary by workload.
Databricks, Inc. is an enterprise data and AI platform provider, not a bank. Financing valuations and revenue run-rates are dated company-reported measures.
Databricks, Inc. is a data and AI infrastructure company, not a bank, payments network or financial adviser. It was founded in 2013 by seven researchers associated with UC Berkeley’s AMP Lab and is headquartered in San Francisco. Its roots in Apache Spark and subsequent involvement with Delta Lake, MLflow and Unity Catalog help explain its developer-oriented distribution. The commercial business sells a managed platform around a much broader set of capabilities than any single open-source project. Ali Ghodsi is identified as co-founder and CEO in the latest financing announcement reviewed. [1][2]
Databricks combines data engineering, analytics, governance and AI on a consumption-based platform. The platform’s substantial adoption does not establish lower risk; data boundaries, operating costs and model dependencies vary by workload.
Policy & official records
Curated library records that name Databricks or connect through its linked research. The official source provides full scope and status.
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