Headquarters
San Francisco, CA
Company size
50+
Since
2013

About Us

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

Databricks was founded in 2013 and has thousands of global customers including Comcast, Shell, HP, Expedia, and Regeneron. The company also has hundreds of global partners that include Microsoft, Amazon, Tableau, Informatica, Cap Gemini and Booz Allen Hamilton. Databricks is founded by the original creators of popular open source projects, including Apache Spark, Delta Lake, MLflow and Koalas.

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Hey.

Hey you!

Do you unify your #data, analytics, and #AI onto one platform?

Well… you should.

#Lakehouse

The next generation of Structured Streaming has entered the chat πŸ“±

Learn how the Kinesis connector in Databricks Runtime can help you consolidate infrastructure into fewer streams – powering operational and ETL use casesπŸ‘‡
https://dbricks.co/3HfWU5u

Who else is excited for #DataAISummit? πŸ™‹πŸ™‹πŸ™‹

Join virtually or in San Francisco to dive into 250+ highly technical sessions on topics such as machine learning, analytics, security, data lakehouses and more.

Register now ⬇️
https://bit.ly/40bHaZr

Woke up thinking about #Lakehouse 😍

Ray version 2.3.0 is coming in hot πŸ”₯

With the release, Ray workloads are now supported on Databricks and Spark standalone clusters, dramatically simplifying model development across both platforms. See howπŸ‘‡
http://bit.ly/3ZOFy7s

Databricks #SQL Statement API is now in public preview πŸŽ‰

Available on @AWS and @Azure, users can now connect their #SQL warehouse to a REST API to access and manipulate #data managed by #Lakehouse.

Learn moreπŸ‘‡
http://bit.ly/3Zra9II

Using #AutoML to develop #ML models in Databricks is as easy as 1️⃣2️⃣3️⃣

We’ll walk you through:
1️⃣ Creating an AutoML experiment
2️⃣ Starting AutoML
3️⃣ Leveraging Hyperopt when developing ML models

Watch nowπŸ‘‡
https://youtu.be/ICO3mzbbzwE

ICYMI: Databricks Notebooks just got an upgrade πŸ’ͺ

Updates include a new editor with faster autocomplete, Python code formatting, syntax highlighting, accelerated debugging, and more! Get the full rundown ⬇️
http://bit.ly/3mz4tOk

The rumors are true: you CAN scalably turn streaming #data into calls against a REST API πŸ™Œ

With Spark Structure Streaming’s foreachBatch, any output target addressable through Python or Scala code can be the destination. Check out these best practices ⬇️
http://bit.ly/3yi7OUf

Are you a Databricks master πŸ’ͺ?

Make your knowledge known by achieving the Databricks Platform Administrator certification, and be the pro when it comes to managing and administering #Lakehouse with #UnityCatalog!

Register now ⬇️
https://dbricks.co/3VIcWLL

Exciting news! #AutoML is now fully integrated with the Databricks Feature Store πŸ™Œ

Users can join Feature Store tables with AutoML #data sets to improve model quality and find more ways to grow revenues and reduce costs.

Learn moreπŸ‘‡
https://dbricks.co/3Df47Sj

You’re stranded on a deserted island with only one #data platform. 🌴

Which are you stuck with? πŸ‘‡

We're excited to welcome 5️⃣ new additions to Databricks Partner Connect!

@privacera, @erwininctweets, @HevoData, @sigmacomputing, and @AtScale bring new integrations to our Data Governance and Data Security categories πŸ‘

Check them out! ⬇️
https://dbricks.co/3IFYfEY

Strap on your goggles 🀿 we’re taking a deep dive.

Learn how to implement a #Data Vault on #Lakehouse with this live example of loading an EDW Data Vault model in real-time using #DeltaLiveTables ⬇️
https://dbricks.co/3ISOYJA

Why do we ❀️️ Visual Studio Code?

It enables developers to write code locally, leveraging the powerful authoring capabilities of the IDE, while connecting to Databricks clusters to run code remotely. What's better than that?!

Learn more ⬇️
https://dbricks.co/3xnf0y6

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FAQ

Where is Databricks headquarters?

Databricks headquarters is located at San Francisco, CA.

When was Databricks founded?

Databricks was founded in 2013.

How many employees does Databricks have?

Databricks has 50+ employees.

What is Databricks's core business?

Databricks is Computer Software company.

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