@Anshal Welcome to Microsoft Q&A Forum, Thank you for posting your query here!
The decision to use Microsoft Analysis Services before pushing data to Power BI for complex aggregations and roll-ups is a significant one, especially considering the cost implications. Here's a breakdown of typical use-cases, pros and cons, and cost factors associated with Microsoft Analysis Services:
Typical Use-Cases for Analysis Services:
- Complex Data Modeling: When dealing with complex data models that require advanced calculations, hierarchies, and relationships, Analysis Services can provide the necessary computational power.
- Large Datasets: For large volumes of data that need to be processed and summarized, Analysis Services can handle the load efficiently.
- Enterprise-Level BI: It's well-suited for enterprise-level BI solutions where there is a need for robust, high-performance analytics.
Pros of Analysis Services:
- Performance: Offers high performance for complex queries and large datasets.
- Scalability: Can scale to accommodate growing data and user demands.
- Advanced Analytics: Supports advanced analytics capabilities like time-series analysis, forecasting, and machine learning.
- Security: Provides strong security features for sensitive data.
Cons of Analysis Services:
- Cost: Can be expensive, especially for high-end options with more features and greater scalability.
- Complexity: Might be overkill for simpler BI needs, leading to unnecessary complexity and maintenance.
- Learning Curve: There is a learning curve associated with setting up and managing Analysis Services.
Cost Factors:
- Service Tier: The cost of Analysis Services can vary significantly based on the service tier selected, with higher tiers offering more resources and capabilities at a higher price.
- Query Volume: The volume and complexity of the queries can impact the cost, as more intensive queries may require more resources.
- Data Refresh Frequency: The frequency of data refreshes can also affect costs, with more frequent refreshes potentially requiring a higher tier of service.
It's important to weigh these factors against your organization's specific needs and budget constraints. If the cost of Analysis Services is a concern, you might consider alternative solutions or a hybrid approach where only certain workloads that require the advanced capabilities of Analysis Services are processed there, while others are handled directly in Power BI.
Remember, the right solution depends on a balance between performance needs and cost constraints. It's crucial to conduct a thorough analysis of your BI requirements and consult with stakeholders to make an informed decision.
I would recommened to please reach out Azure Billing and Subscription team would be the best to provide more insight and guidance on this Cost based on your requirement : https://azure.microsoft.com/en-us/support/options/
Please let us know if you have any further queries. I’m happy to assist you further.
Please do not forget to "Accept the answer” and “up-vote” wherever the information provided helps you, this can be beneficial to other community members.