Databricks

@databricks

Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.

HQ: San Francisco, CA

databricks.com

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Databricks
@databricks
1h
As organizations scale their data and AI ambitions, many are rethinking the role of the traditional enterprise data warehouse. This eBook explores how teams can modernize with: • Elastic scalability without costly hardware upgrades • More flexible cloud-based cost models •
Databricks
@databricks
6h
The Databricks SSH tunnel lets developers work from VS Code, Cursor, or the terminal while running code on Databricks compute. You can: • Work directly with files in your Databricks workspace • Use serverless compute, GPU-enabled compute, or an existing cluster • Give coding
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5
Databricks
@databricks
Sep 12
The hard part of enterprise AI isn’t getting an answer. It’s getting an answer that understands how your business actually works. Genie One uses unified context from Genie Ontology to connect governed data, business definitions, documents, applications, and operational systems
GIF
15
Databricks
@databricks
Sep 12
CMSPI cut payment optimization work from 30–40+ hours to about 30 minutes with Lakebase Postgres. Lakebase stores user and contextual state, while the Lakehouse handles the analytical data and analysis. That lets consultants save drafts, compare scenarios, and work with
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Databricks
@databricks
Sep 11
DeepSeek 4.1 Flash is on Databricks the day it ships. On OfficeQA Pro V2, it lands on the Pareto frontier, making it a strong open-source option for enterprise document reasoning. You can point it at the data already in your Lakehouse and use it to build governed AI apps and
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