Databricks AI is an enterprise platform that unifies data, analytics and AI on a lakehouse architecture, letting teams collaborate in one environment from data prep to production AI.
The lakehouse—combining the openness and scale of a data lake with the performance, reliability and governance of a data warehouse.
Delta Lake and Lakeflow for data engineering, Databricks SQL and AI/BI for analytics, and the AI platform plus Databricks IQ for building and governing AI agents.
AWS, Microsoft Azure and Google Cloud with identical functionality and APIs.
Unity Catalog provides centralized metadata, fine-grained access controls, audit logs and cross-cloud lineage in one place.
Data engineers, data scientists, ML engineers, analysts and any team tasked with delivering data-driven or AI-powered applications.
Basic SQL or Python is enough to start; visual tools and serverless compute lower the barrier further.
Unified batch and streaming on Apache Spark lets you ingest, transform and serve both real-time and historical data with the same code.
Integrated MLflow automates experiment tracking, feature store, model registry and deployment—so models move from notebook to production in minutes.
Bricks AI is an AI-powered data analytics platform that focuses on automatically creating dashboards, spreadsheets, and reports through natural language interactions. It aims to simplify the data visualization and analytics workflow, helping users efficiently complete tasks from data processing to insight presentation.
Langdock AI is an enterprise-grade AI application platform designed to help organizations securely and flexibly scale the deployment and usage of AI technologies. The platform offers a unified chat interface, agent building, workflow automation, and API integration, supporting connections to multiple leading AI models and existing enterprise tools to boost knowledge management and operational efficiency.
