Databricks

Quickly build secure data and AI apps

The Application Development feature allows users to rapidly create secure applications that leverage data and AI capabilities. This feature streamlines the development process, enabling teams to focus on building innovative solutions without compromising on security.

Build and deploy ML and GenAI applications

This feature empowers users to create and implement machine learning and generative AI applications seamlessly. It provides the tools necessary for developing sophisticated AI models that can be integrated into various business processes.

Build AI agents that work in the real world

This feature enables the development of high-quality, production-ready AI agents that are grounded in real-world data. Users can create agents that continuously improve their performance and accuracy, making them valuable assets for business operations.

Intelligent analytics for real-world data

The Business Intelligence feature provides users with advanced analytics capabilities that leverage real-world data. It includes tools for creating natural language dashboards and conducting deep conversational analytics, making data exploration accessible to all users.

ETL and orchestration for batch and streaming data

This feature facilitates the extraction, transformation, and loading (ETL) of data, as well as orchestration for both batch and streaming data. It provides a unified solution for managing data workflows at scale, ensuring reliability and efficiency.

Build reliable ETL pipelines faster

Users can create dependable ETL pipelines for both batch and streaming data with Lakeflow. This feature simplifies the process of ingesting, transforming, and orchestrating data, allowing teams to work more efficiently.

Serverless data warehouse for SQL analytics

This feature offers a serverless data warehousing solution that supports SQL analytics. It allows users to analyze data without the need for complex infrastructure management, making it easier to derive insights from large datasets.

Unified governance for all data, analytics and AI assets

The Governance feature provides a comprehensive framework for managing data, analytics, and AI assets. It ensures compliance and security across all platforms, giving users deeper insights into their data governance practices.

Open agentic SIEM built for the AI era

This feature offers a security information and event management (SIEM) solution that is designed for the AI era. It provides users with advanced security capabilities to protect their data and applications from emerging threats.

Open data sharing for data, analytics and AI

This feature enables users to share data, analytics, and AI models openly across teams and organizations. It fosters collaboration and innovation by allowing stakeholders to access and utilize shared resources effectively.

Open marketplace for data, analytics and AI

The Marketplace feature provides an open platform for users to discover and integrate various data, analytics, and AI solutions. It enhances the ecosystem by allowing users to leverage third-party tools and services seamlessly.

Build on the Lakehouse in your favorite IDE

This feature allows developers to integrate their preferred Integrated Development Environments (IDEs) with the Lakehouse platform. It streamlines the development process by enabling users to work in familiar environments while leveraging Lakehouse capabilities.

Discover and integrate with the Databricks ecosystem

Partner Connect enables users to find and integrate with various partners within the Databricks ecosystem. This feature enhances collaboration and expands the capabilities available to users through strategic partnerships.