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Databricks Logo

The Unified Analytics and AI platform.

12x

Better price/performance ratio

10

Exabytes of data processed per day

48%

Faster workloads in ETLs

What does Databricks do?

Implements Lakehouse architectures that accelerate data innovation and analytics adoption in your organization. Allows an easy implementation of Data Science and Engineering, using notebooks on top of Apache Spark clusters. Saves installation and configuration time, with high scalability and ease of use, working collaboratively in the cloud.

Analytics on all your data.

Analytics on all your data.

Collaborative data science.

Collaborative data science.

ML and AI in production.

ML and AI in production.

Brochure Databricks

What makes Databricks unique?

Features

Spark and Databricks allow you to store, process and analyze a deluge of information in Lake House-like data structures with Delta Lake.
Integrates with your data discovery applications such as Power BI, Tableau, Qlik and many more.

Auto-scalable

Auto-scalable

Deploy spark clusters easily, on demand.

Model management

Model management

Manage the lifecycle of your models with MLFlow.

Notebooks

Notebooks

Collaborative analytics workspaces.

Integrable

Integrable

Integration with GitHub and cloud DevOps services.

Supported languages

Supported languages

Python, Scala R, SQL.