Databricks
Updated
About Databricks
Databricks is a unified platform for data, analytics and AI that lets businesses build, manage and deploy data and AI applications.
Teams use Databricks to handle data engineering, data warehousing, governance and building AI and machine learning applications in one place. It suits businesses that need to process batch and streaming data, run SQL analytics and develop data or AI apps, including app developers and data teams at enterprises.
- ETL and orchestration for data
- Serverless data warehouse for SQL analytics
- Agentic AI assistant for business users
- Unified governance for data and AI assets
- Build and deploy ML and GenAI applications
Good to know: Offers a cost calculator to estimate compute costs on AWS, Azure or GCP, and a free edition for learning the platform.
Key features
- Data Engineering: Supports ETL and orchestration for both batch and streaming data.
- AI and ML Development: Lets teams build and deploy machine learning and generative AI applications.
- Unified Governance: Provides governance across all data, analytics and AI assets in one system.
At a glance
- Category: AI Coding
- Type: Data & ML platform
- Jobs: Research & Analyze
- Evidence: Proven · 1,000+ reviews
- AIME Score: 79 of 100
- Also on Product Hunt: a few reviews, 50+ upvotes, launched 2018-02
- Website: databricks.com
Alternatives to Databricks
- Deepnote (AIME Score 72)
- Anaconda Core (AIME Score 70)
- LlamaCloud (AIME Score 70)
- DATAMIMIC (AIME Score 65)
- Galaxy (AIME Score 62)
- Databench by Alkera (AIME Score 56)
More Data & ML platform tools
Sources: Found on Product Hunt (launched Feb 2018) · Details checked on the tool’s own website · Researched by AI Made Easy
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