Unified data and AI platform
Databricks is the Data + AI Platform built on an open lakehouse architecture, bringing one foundation for data engineering, analytics, and AI instead of three separate stacks. It pairs the scale and flexibility of a data lake with the performance of a data warehouse, all on open formats that keep data portable across tools and clouds. Unity Catalog governs data, models, agents, and access from a single place, turning governed data into AI output teams can trust.
Why choose Databricks?
Databricks gives data and AI teams one governed platform to build on, instead of stitching together a patchwork of engines, catalogs, and point tools.
-
Open lakehouse architecture
Databricks unifies data lake flexibility with data warehouse performance on open formats like Delta Lake and Apache Iceberg. The same data stays queryable from multiple engines without lock-in and duplication.
-
Unified governance for data and AI
Unity Catalog governs data, machine learning models, AI agents, and access policies from a single control plane. Lineage, auditing, and access control apply the same way across every workload.
-
AI and machine learning built in
Agent Bricks and Unity Gateway cover the full ML and generative AI lifecycle, from training and serving models to building and governing AI agents. Teams build directly on governed data, with no separate AI tooling to bolt on.
-
Open, multi-cloud, no lock-in
Databricks runs natively on AWS, Azure, and GCP and stores data in open formats, so switching tools or clouds never means rearchitecting the data estate underneath them.
Explore Databricks' core functionalities
Databricks' platform spans the full data and AI lifecycle, from raw ingestion to governed AI applications, on one architecture.
Data engineering
Data engineering
Lakeflow handles ingestion, transformation, and orchestration for batch and streaming data alike, in a single governed pipeline layer.
- Declarative pipelines for batch and streaming transformations
- Native connectors for ingesting structured and unstructured sources
- Workflow orchestration that manages dependencies and scheduling
- Change data capture and incremental processing that scale with the data
Data warehousing
Data warehousing
Databricks SQL is a serverless data warehouse built for BI and analytics, and Genie lets anyone explore governed data just by asking in plain language.
- Serverless SQL warehouses that scale automatically with query load
- Native integration with BI tools including Power BI, Tableau, and Looker
- Genie for conversational, natural-language querying of business data (no SQL required)
- Materialized views and query optimization for consistent performance
Governance (Unity Catalog)
Governance (Unity Catalog)
Unity Catalog is the single governance layer for every data and AI asset on the platform, including tables, models, agents, and integrations alike.
- Centralized metadata, access control, and audit logging across all assets
- Automated data lineage from raw sources through to AI outputs
- Fine-grained permissions down to tables, columns, and rows
- Governance that extends to AI agents and external tool access
AI and machine learning
AI and machine learning
Agent Bricks and Unity Gateway cover the full ML and generative AI lifecycle right on governed data, with nothing to move to a separate platform.
- MLflow-based model training, tracking, and lifecycle management
- Model serving for real-time and batch inference
- Agent Bricks for building and governing production AI agents
- Unity Gateway to control AI costs and security while giving developers the best AI for every task
Lakebase
Lakebase
Lakebase is a serverless Postgres database built for operational and AI-agent workloads, running on the same governed platform that powers analytics.
- Serverless Postgres for transactional, application-facing workloads
- Shared governance and metadata model with the analytical lakehouse
- Built for low-latency access patterns AI agents need
- No separate database stack to provision, secure, or maintain
Data sharing and marketplace
Data sharing and marketplace
Delta Sharing and the Databricks Marketplace open up governed exchange of data, models, and applications across organizations, without copying anything.
- Delta Sharing for live data exchange without copying or replication
- Cross-cloud and cross-platform sharing using open protocols
- Marketplace access to third-party datasets, models, and applications
- Governed, auditable sharing agreements between parties
A quick look at Databricks in action
Discover the platform in action through a short preview showcasing its essential features and the value it brings to your projects.
- 20,000+
organizations worldwide rely on Databricks
- 60%+
of the Fortune 500 run on Databricks
- 2x
Gartner Magic Quadrant Leader (2025)
- 5th
consecutive year as a Cloud DBMS Leader
How Databricks supports our service offering
As a Databricks Bronze Partner, we design, build, and govern data platforms on Databricks, taking organizations from fragmented pipelines to one governed foundation for analytics and AI. We pair Databricks' platform with our own delivery expertise in architecture, observability, and governance to get clients into production faster.
Data platform projects with Databricks
A look at client work where Databricks was part of the platform we designed and governed.
Case studyPharmaEstablishing a central data observability platform based on a vendor market tool
We ran a structured, two-phase vendor evaluation and rolled out one enterprise data-observability platform, unifying monitoring across the analytical stack.
Explore
Case studyPharmaOne platform for data observability across global data divisions
We built a modular, cloud-native observability platform on AWS that centralizes metadata and monitoring across the data divisions.
Explore
Ready to accelerate your data projects?
Modern data platforms take over routine work and give people the space to focus on what truly creates value. Talk to our team to learn how to bring this approach into your organization.
Thanks — your message is on its way.
A member of our team will be in touch shortly. Meanwhile, feel free to keep exploring the site.