Some questions regarding the pricing of Fabric in enterprise usage scenarios

[wuzhangliang]

• Regarding the pricing plans for Fabric, is the resource configuration for each SKU fixed? Can customized requirements be accommodated, such as needing more memory?
• Does Fabric support the mainland China region?
• In the SKU, what is the definition of "maximum memory per query"? Does it refer specifically to SQL queries, or does it include running Python programs, training models, and executing Spark jobs?
• Does it support GPU resources?
• Could you explain the differences between Fabric and the Databricks Data Intelligence Platform? What are the advantages of Fabric?

[Srisakthi]

Hi @wuzhangliang ,

You can also have a look at this document for Databricks and Fabric together.

Integrating Azure Databricks and Microsoft Fabric | by Piethein Strengholt | Medium

Regards,

Srisakthi

[Anonymous · Accepted solution]

Hi @wuzhangliang ,

1.  The resource allocation for each SKU in the fabric is not fixed. You can customize the environment to meet specific requirements, such as adjusting memory and CPU allocations.

You can refer to this document for more information:

Workspace administration settings in Microsoft Fabric - Microsoft Fabric | Microsoft Learn

2. Fabric does not currently support the Mainland China region. However, you can use Fabric by creating Fabric capacity in a region where Fabric is available and then using Fabric's multi-geography feature.

For more information, see the official documentation below:

Fabric region availability - Microsoft Fabric | Microsoft Learn

Multi-Geo support for Fabric - Microsoft Fabric | Microsoft Learn

3. “Maximum memory per query” refers to the maximum amount of memory allocated to a single query. This includes SQL queries, running Python programs, training models, and executing Spark jobs.

4. Fabric does not support GPU resources.

MS Fabric GPU / Cuda support - Microsoft Fabric Community

5. Comparison between Fabric and Databricks data intelligence platforms:

Feature/Aspect	Microsoft Fabric	Databricks
Founded	2023	2013
Microsoft Fabric vs Databricks Usage	Complex setup process; Uses Azure as a cloud platform	Easier setup; Uses Azure, AWS, and GCP as cloud platforms
Azure Databricks vs Microsoft Fabric Cloud Platform Support	Multi-cloud support	Amazon AWS, Microsoft Azure, Google Cloud Platform
Azure Databricks vs Microsoft Fabric Security Certifications	SOC 2 Type 2, ISO 27001, HIPAA	SOC 2 Type II, ISO 27001, HIPAA
Databricks vs Microsoft Fabric Pricing Options	Pay-as-you-go hourly or monthly	Consumption-based pricing model
Microsoft Fabric vs Azure Databricks Free Trial	Yes, 60 days	Yes, 14 days

Fabric has the following advantages:

• High level of integration
• Low code/no code functionality for users with no programming background
• Automated Data Governance
• Fabric seamlessly integrates with Microsoft products

Whether you choose to use Fabric or Databricks depends on your needs. If you need a highly integrated, easy-to-use platform, Fabric is the better choice. If you need large-scale data processing and cross-cloud support, Databricks is a better fit.

For more detailed information, please refer to:

Microsoft Fabric vs Databricks: Choosing the Right Solution

If you have any other questions please feel free to contact me.

Best Regards,
Yang
Community Support Team

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