Databricks Workflows
Orchestrate any data, analytics, and AI workflow on any cloud.
Overview
Databricks Workflows is a fully managed orchestration service integrated with the Databricks Lakehouse Platform. It allows you to orchestrate data engineering, data science, and machine learning workflows using notebooks, scripts, and dbt tasks. It is designed to be reliable, scalable, and deeply integrated with the Databricks ecosystem.
✨ Key Features
- Orchestrate notebooks, SQL, dbt, and more
- Multi-task workflows with dependency management
- Monitoring, alerting, and error handling
- Serverless compute for jobs
- Git integration for CI/CD
🎯 Key Differentiators
- Deep integration with the Databricks Lakehouse Platform
- Unified orchestration for data and AI
- High performance with Spark engine
Unique Value: Provides a simple, reliable, and scalable way to orchestrate all data, analytics, and AI workflows within the Databricks Lakehouse Platform.
🎯 Use Cases (4)
✅ Best For
- Building and managing end-to-end data and AI workflows on the Databricks Lakehouse Platform
- Orchestrating complex data pipelines involving Spark, SQL, and machine learning
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Orchestrating workflows that do not involve the Databricks platform.
🏆 Alternatives
Offers seamless integration and better performance for Databricks-native workloads compared to external orchestrators, but is not suitable for orchestrating tasks outside of the Databricks ecosystem.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Premium Support tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: NA
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