What is databricks?
Databricks is a unified data and AI platform, leveraging an open lakehouse architecture to enable large-scale data processing, AI model development, and comprehensive data governance.
Databricks: Unified Data and AI Platform
Databricks is a data and AI company that provides a unified Data Intelligence Platform. Built on an open lakehouse architecture, it integrates data management, governance, and AI capabilities, enabling organizations to access, use, and benefit from data and AI through automation and natural language technology. Founded in 2013 by the creators of Apache Spark, Databricks operates across major cloud providers like AWS, Google Cloud, and Azure.
Lakehouse Architecture
The platform's core is its data lakehouse architecture, which unifies data lakes and data warehouses. This approach creates a single source of truth for data, facilitating both batch and real-time data processing. It aims to simplify data management and ensure consistent data access for analytics and AI workloads.
AI-Powered Features
Databricks heavily integrates AI capabilities, offering generative AI tailored to an organization's specific data, natural language search for data discovery, and automated optimization of performance and infrastructure. It supports the full AI lifecycle, including experiment tracking, model tuning, and deployment, allowing users to build custom generative AI models.
End-to-End Data Governance and Scalability
The platform provides comprehensive data governance and security with a unified permission model for all data and AI workloads. Used by over 15,000 organizations globally, Databricks enables enterprises to build and deploy large-scale data, analytics, and AI solutions, transforming raw data into actionable intelligence with robust security and administrative controls.
What features and use cases does databricks offer?
- Unify data lakes and data warehouses
- Process large-scale data with Apache Spark
- Develop and deploy AI/ML models
- Perform advanced data analytics and BI
- Apply generative AI to proprietary data
- Ensure end-to-end data governance
- Automate data and AI workflows
Prices
| Plan Type | Price | Description |
|---|---|---|
| Free Trial | free | 14-day trial, cloud infrastructure costs apply. |
| Standard Tier | from ~$0.20/DBU | Basic use, MLflow tracking; plus separate cloud infrastructure costs. |
| Premium Tier | from ~$0.30/DBU | Advanced security, priority support; plus separate cloud infrastructure costs. |
| Enterprise Tier | from ~$0.40/DBU | Full features, advanced governance, custom SLAs; plus separate cloud infrastructure costs. |
| SQL Warehouses / Serverless | from ~$0.70/DBU | Specific DBU rates apply for SQL workloads, including serverless; plus separate cloud infrastructure costs. |
| Model Serving | Varies | Separate DBU rates apply for serving models. |
| Underlying Cloud Infrastructure | Varies | Separate charges for compute, storage, and networking from AWS, Azure, or Google Cloud. |
Prices may vary by region. We do not guarantee the accuracy of prices. For current information see: https://www.databricks.com/
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