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Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Databricks announced the Databricks Lakebase is now generally available on AWS—introducing a new class of operational database that treats infrastructure as a flexible, on-demand service. According to ...

Databricks said it is raising $4 billion at a $134 billion valuation to support AI app building. The valuation is a 34% jump from a funding round announced in August. Companies such as Databricks, ...

Databricks is raising over $4 billion in Series L funding that would value the data-analytics and artificial-intelligence software company at $134 billion, an increase of 34% from its last funding ...

Mohsen Baqery is a Staff Writer at GameRant based in Turkey. He mainly covers video game news and industry features while occasionally publishing guides and listicles. Mohsen started his journey into ...

Data analytics company Databricks is in discussions to raise about $5B at a $134B valuation, which is nearly 32 times this year's expected sales of about $4.1B, The Information reported, citing ...

Databricks is turning heads amid reports of a major new funding round following strong sales growth over the course of this year. The fast-growing AI and data analytics firm is looking to raise $5 ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

MUNICH & NEW YORK--(BUSINESS WIRE)--Celonis, a global leader in Process Intelligence, today announced a partnership with Databricks, the Data and AI company, to provide customers with a seamless, ...

DBeaver is fully compatible with the Databricks OAuth and Personal Access Token (PAT) authentication methods, offering you secure ways to access your Databricks databases. Enter the required ...

The offering is set to allow firms to combine raw tick history or reference data with their enterprise data, to then efficiently build and launch AI production agents to aid investment analytics, risk ...