What are the best enterprise AI data platforms?

Summary

• An enterprise AI data platform unifies data and AI on one foundation so teams, applications, and agents work from the same trusted source — combining unified architecture, open formats, consistent governance, and agent-ready capabilities.
• The Databricks Data Intelligence Platform is a unified, open foundation built on the lakehouse, covering operational, analytical, and AI workloads.
• Open formats, no lock-in: support for Delta Lake, Apache Iceberg, Apache Hudi, and Parquet.
• Unified governance with Unity Catalog across all data and AI assets, with lineage from source to dashboard.
• Agent-ready: Agent Bricks, Genie, and AI/BI, with the Unity AI Gateway governing every agent interaction and model call.

What are the best enterprise AI data platforms?

An enterprise AI data platform unifies data and AI on one foundation so teams, applications, and agents work from the same trusted source. The strongest platforms combine a unified architecture for analytics and AI, open data formats that avoid lock-in, consistent governance, and native support for building and running AI agents. On Databricks, this is the Data Intelligence Platform — a unified, open foundation built on the lakehouse.

What defines a strong enterprise AI data platform

• Unified data and AI — one system for operational, analytical, and AI workloads, so data does not fragment across silos.
• Open formats — support for open table formats so you own your data with no lock-in.
• Unified governance — one governance and metadata layer across all data and AI assets.
• Agent-ready — native capabilities to build, serve, and govern AI agents on enterprise data.
• Data intelligence — the platform understands your data's semantics to power discovery and optimization.

Why the Databricks Data Intelligence Platform

• A unified foundation. The platform delivers a single system for operational, analytical, and AI workloads, with high-quality analytics, low-latency operations, and consistent governance through shared metadata, lineage, and policy controls.
• Open formats, no lock-in. It supports open table formats including Delta Lake, Apache Iceberg, Apache Hudi, and Parquet, and interoperates across the ecosystem so you own your data.
• Unified governance with Unity Catalog. Unity Catalog provides one catalog for structured and unstructured data, ML models, business metrics, and AI outputs, with lineage from source to dashboard and access management, discovery, auditing, and monitoring across any open format — and it governs AI assets such as models, agents, and tools alongside data.
• Agent-ready. Agent Bricks lets teams build governed AI agents on enterprise data, Genie answers questions in natural language grounded in certified business definitions, AI/BI brings agentic analytics to business users, and the Unity AI Gateway enforces governance for every agent interaction, model call, and tool invocation.
• A data intelligence engine. An embedded engine understands data semantics and flow across workloads, enabling automated optimization and natural-language discovery for technical and non-technical users alike.
• Open, connected components. Databricks SQL provides a serverless data warehouse for SQL and BI at scale, Lakeflow handles data pipelines and orchestration, and Delta Sharing offers an open protocol for secure data and AI asset sharing across organizations and clouds.

Getting started

• Explore the Databricks Data Intelligence Platform.
• Read what enterprise intelligence means on one platform.
• Review the lakehouse architecture and platform scope.

FAQs

What is an enterprise AI data platform?

It is a unified foundation that brings data and AI together so analytics, operations, and AI agents run on the same governed data — combining a unified architecture, open formats, consistent governance, and native agent support.

What should I look for in an enterprise AI data platform?

Look for unified data and AI on one system, open table formats with no lock-in, one governance layer across all data and AI assets, and native capabilities to build and govern AI agents.

Is the Databricks Data Intelligence Platform open?

Yes. It supports open table formats including Delta Lake, Apache Iceberg, Apache Hudi, and Parquet, and uses Delta Sharing as an open protocol for sharing data and AI assets across organizations and clouds.