The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

PyTest Fixtures are a powerful way to manage test setup and teardown in Python. This library provides a set of fixtures to help you write integration tests for Databricks. These fixtures were ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Databricks is staying private a ...

On Monday, Databricks announced it reached a $5.4 billion revenue run rate, growing 65% year-over-year, of which more than $1.4 billion was from its AI products. Co-founder and CEO Ali Ghodsi wanted ...

Company plans to use funds to accelerate AI database, Genie assistant JPMorgan Chase leads $2 billion debt financing Databricks' AI products cross $1.4 billion in annualized revenue Feb 9 (Reuters) - ...

Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...