Databricks
Databricks is an enterprise-grade data and AI platform that unifies data engineering, analytics and AI applications with a lakehouse architecture, and the company says more than 60% of Fortune 500 companies use it.
Updated: 2026-10-26
What is Databricks?
Databricks is an enterprise-grade data and AI platform that unifies data engineering, data warehousing, analytics and AI applications on a lakehouse architecture. Unlike separate data and AI tools, it enables teams to build agents, applications and natural language insights on the same set of data. The company states that over 60% of Fortune 500 companies and more than 20,000 customers use it, and it has been consistently named a Leader in Gartner's relevant Magic Quadrant multiple times.
Who is it for?
- Data and AI teams that need a unified data platform to connect data engineering and analytics.
- Enterprise AI engineers who want to build retrieval augmentation and agents on their own data.
- Data platform leaders subject to governance requirements who need unified permissions and cost control.
- Large enterprises migrating from data warehouses to lakehouses and pursuing open formats and multi-cloud deployments.
Key features
6Lakehouse
Delivers a serverless data warehouse on open lake data, with built-in governance and AI capabilities to eliminate data silos.
Genie Data Partner
Officially described as a data-aware AI assistant, Genie accelerates work with natural language and delivers deeper insights.
Unity Gateway Governance
Unify access, cost control, observability and guardrails to govern the usage of enterprise-level AI.
Lakebase Serverless Database
Officially described as the first serverless Postgres integrated with a lakehouse, designed for AI-era applications and agents.
Data and AI Platform
Covers data engineering, business intelligence, governance, and multi-agent applications, supporting the entire workflow from analysis to production.
Multi-cloud and Open Formats
Supports cross-cloud deployment, breaks vendor lock-in through open formats, and connects enterprises' existing data assets.
How to use Databricks
- 1First experience the lakehouse and Genie through a free trial or Demo, then validate the effect of natural language queries with your own dataset.
- 2Use Unity Catalog to unify permissions and lineage, and set up guardrails and cost caps before launching AI.
- 3Place data engineering, BI and AI on the same platform to reduce data movement and inconsistent data definitions.
- 4For multi-cloud deployment, confirm the access and compliance settings of Unity Gateway, and verify the residency requirements for sensitive data.
- 5Official features and pricing may be subject to change; please review the official website and contract for confirmation before official commercial use.
Traffic & popularity
Data month Sep 2026
Databricks receives about 3.2M visits per month and ranks #9,655 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct51.5%
- Search23.0%
- Social9.1%
- Referrals8.5%
- Display ads3.6%
- Other4.4%
Top countries
- United States36.9%
- India22.4%
- United Kingdom5.8%
- Canada3.1%
- Germany2.8%
Estimated from third-party traffic data.
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