Databricks Data Intelligence Platform

Framework for building high-quality, production-ready AI agents grounded in enterprise data. Enables continuous improvement of agent quality and accuracy optimized on customer data.

Build production-quality AI agents with integrated evaluation capabilities using AI-assisted assessments and human feedback mechanisms.

Scalable monitoring solution that detects anomalies, tracks data freshness, and delivers consistent quality signals across AI assets.

Framework for building and deploying autonomous agents that can perform complex tasks and workflows.

Comprehensive unified platform providing full range of tools for data, analytics, and AI applications including data warehousing, engineering, and ML capabilities.

Suite of tools and frameworks for building and deploying generative AI applications on the lakehouse.

End-to-end ML platform for building, training, and deploying machine learning models on lakehouse data.

Serverless inference endpoint service for deploying and serving ML and AI models in production.

Collaborative notebooks enabling real-time team collaboration and streamlined data science workflows with productivity enhancements.

SQL engine for querying and analyzing data at scale on the Databricks lakehouse platform.

Conversational analytics interface enabling business users to query enterprise data and create dashboards using natural language, without SQL or coding. Provides instant insights, text summaries, tabular data, and visualizations.

Serverless Postgres database integrated with the lakehouse, designed for building production applications that scale. Merges transactional reliability with data lakehouse scale, governance, and analytics power for apps and agents.

Data engineering tool for building reliable ETL pipelines for batch and streaming workloads. Enables ingestion, transformation, and orchestration of data at scale with a unified solution.

An open agentic SIEM (Security Information and Event Management) system built for the AI era. Provides security monitoring and threat detection capabilities.

Enterprise-grade MLOps platform extending open source MLflow with unified tracking, versioning, and deployment for ML and generative AI applications.

Unified deployment platform for agents, generative AI models, and classical machine learning models.

Fine-tune open source LLMs, pretrain custom LLMs, or build classical machine learning models with enterprise-grade infrastructure.

A single governance platform to apply data governance and controls across every LLM and model context protocol in the enterprise.

Unified governance layer for data, models, dashboards and agents. Maintains compliance and provides deeper insight into data across the platform with open governance capabilities.

A highly performant vector database with real-time syncing of source data for retrieval-augmented generation and semantic search applications.