Databricks Lakehouse Platform
The Data and AI Company.
Overview
The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance, and performance of data warehouses with the openness, flexibility, and machine learning support of data lakes. It is built on a foundation of open source and open standards, ensuring that customers are not locked into a proprietary system.
✨ Key Features
- Unified Analytics Platform
- Collaborative Notebooks
- Delta Lake for ACID transactions on data lakes
- Integrated AI and Machine Learning (MLflow, AutoML)
- Fine-grained Governance and Security (Unity Catalog)
- Serverless SQL Warehouses
🎯 Key Differentiators
- Open source foundation (Delta Lake, MLflow, Spark)
- Unified platform for data and AI
- Strong focus on machine learning and data science workloads
Unique Value: A single, open platform for all data and AI workloads, from data engineering to generative AI, reducing complexity and TCO.
🎯 Use Cases (5)
✅ Best For
- Building predictive maintenance models in manufacturing
- Customer churn prediction in retail
- Fraud detection in financial services
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Small-scale data analysis that can be handled by a single database
- Online Transaction Processing (OLTP) systems
🏆 Alternatives
Unlike traditional data warehouses, it handles unstructured data and AI workloads natively. Unlike data lakes, it provides reliability and performance.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Limited compute resources and features.
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