Databricks Data Intelligence Platform
by Databricks
Lakehouse platform for data engineering, analytics and AI
What is Databricks Data Intelligence Platform?
The Databricks Data Intelligence Platform combines data lake and data warehouse capabilities on open formats such as Delta Lake. It provides Spark-based data engineering, SQL warehousing, governance through Unity Catalog, machine learning and generative-AI tooling. It runs on AWS, Azure and Google Cloud and is billed on consumption.
Key facts
- Starting price
- Price not listed
- Pricing model
- Usage-based
- Active users
- —
- Customers
- —
- Vendor employees
- 4,000
- Launched
- 2015
- Deployment
- Cloud (SaaS)
- Platforms
- Web
Strengths & considerations
Strengths
- Unified lakehouse for data engineering and AI
- Built on open formats like Delta Lake and Spark
- Strong collaborative notebooks and ML tooling
- Free trial available
Considerations
- Usage-based costs can be hard to predict
- Requires data engineering expertise
- Cluster tuning and governance need attention
Editorial summary based on public information; not a user review.
Industries & use cases
Industries served
Banking & capital markets
Healthcare
Life sciences
Retail & consumer
Manufacturing & industrial
Cross-industry
Typical use cases
- Modernize legacy data warehouses and Hadoop estates
- Build and govern machine learning and GenAI applications
- Unify batch and streaming data engineering pipelines
Typical Deloitte services
- Data platform modernization and migration
- AI and generative AI solution development
- Data governance and operating model design
Editorial profile based on public information.
Features
✓AI features· Automation
✓SOC 2· Compliance
✓ISO 27001· Compliance
✓HIPAA· Compliance
✓API access· Integrations
✓Dashboards· Reporting
✓Single sign-on (SSO)· Security
✓Role-based access· Security
✓Audit log· Security
User reviews
No reviews yetNo reviews yet. Be the first to write one!