Databricks

Databricks is a data intelligence platform that uses generative AI to marry data and intelligence. It lets customers build, deploy and manage AI applications directly on their data without sacrificing privacy or control. Databricks is designed to make data and AI workflows easier by bringing data, analytics and governance together under a single architecture.

Some of the key features of Databricks include:

• AI-Powered Data Intelligence: Databricks combines AI with your data to provide natural language insights, automated model deployment, and governance.
• Democratized Insights: The platform lets users discover insights from their data using natural language, making data accessible to anyone.
• Cost Efficiency: Databricks is designed to reduce costs by consolidating data, AI and governance approaches.

The platform supports a variety of tools and integrations, including ETL, data ingestion, business intelligence, AI and governance. This means it can fit into existing workflows so customers can gradually adopt new features without disrupting what they already have.

Databricks is based on lakehouse architecture, which combines the best of data lakes and data warehouses. This approach means open, scalable and unified data management, lower costs and better performance.

The platform is designed for different types of users, from data practitioners to business users. Databricks offers resources like support, training and community engagement to help customers get started.

Pricing details aren't disclosed, but you can try Databricks for free to see how it works.

Published on June 23, 2024