Platform Comparison - Game Over for Databricks?

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🔍 Is Databricks on the decline? What's my honest take on the "Better Together" narrative from Microsoft and Databricks? We'll dive into this and more in today's video!
🔑 Key Points Discussed:
Setting Up: Databricks requires setting up infrastructure in Azure, making it more complex. Microsoft Fabric, being a fully managed service, is easier to start with.
Pricing: Databricks offers a pay-as-you-go model, while Fabric uses a capacity-based model. Initial costs for Fabric can be high, especially for smaller companies.
Features: Fabric offers more features, including low-code tools and Power BI integration. Databricks excels with its notebook-based approach and seamless integration with version control.
Maturity: Databricks has been around for over a decade and is a mature product. Fabric is newer and still developing, with some crucial features yet to be fully implemented.
Which One to Choose: Choose Databricks for immediate needs. Fabric might be viable if you can wait for its features to mature.
Future Outlook: The ongoing partnership between Microsoft and Databricks is likely temporary as Fabric continues to develop similar core functionalities.
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💬 Join the Discussion: Are you Team Databricks or Team Fabric? Do you believe in the "Better Together" story? Let me know in the comments!
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