- Data Scientists: Build, tune, and deploy custom generative AI models securely.
- Business Analysts: Query insights naturally without technical barriers.
- ML Engineers: Automate tracking, governance, and scalable model monitoring.
- IT & Governance Teams: Unify controls across data, analytics, and AI estates.
- Executives: Optimize pipelines to meet deadlines and budget constraints.
How to Use Databricks?
- Connect Your Data: Unify structured and unstructured sources in lakehouse format.
- Build AI Models: Use Agent Bricks to train agents on business data directly.
- Query & Analyze: Leverage natural language search and SQL for instant insights.
- Govern & Deploy: Apply unified permissions and monitor end-to-end pipelines.
- Lakehouse Architecture: Combines data warehouse performance with data lake flexibility.
- Agent Bricks: Train enterprise AI agents directly on private business data.
- Unified Governance: Single model controls data, analytics, and AI permissions.
- Serverless Processing: Auto-optimizes ETL for batch/streaming with no management.
- Open Marketplace: Share live datasets, models, and notebooks without replication.
- Powers full AI lifecycle from data to deployed agents seamlessly.
- Natural language democratizes analytics for non-technical users.
- Lakehouse delivers superior cost/performance vs legacy warehouses.
- Open sharing accelerates collaboration without proprietary lock-in.
- Enterprise-scale requires commitment to lakehouse paradigm.
- Custom agent training needs data science expertise initially.
- Governance complexity grows with massive multi-modal datasets.
- Pricing scales with compute and AI inference volumes.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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