Azure Analysis Services delivers enterprise-grade BI semantic modeling capabilities with the scale, flexibility, and management benefits of the cloud. Azure Analysis Services helps transform complex data into actionable insights. Azure Analysis Services is built on the analytics engine in Microsoft SQL Server Analysis Services.
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Azure SQL Database
Score 8.4 out of 10
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Azure SQL Database is Microsoft's relational database as a service (DBaaS).
$0.50
Per Hour
Pricing
Azure Analysis Services
Azure SQL Database
Editions & Modules
No answers on this topic
2 vCORE
$0.5044
Per Hour
6 vCORE
$1.5131
Per Hour
10 vCORE
$2.52
Per Hour
Offerings
Pricing Offerings
Azure Analysis Services
Azure SQL Database
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Azure Analysis Services
Azure SQL Database
Features
Azure Analysis Services
Azure SQL Database
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Azure Analysis Services
8.6
8 Ratings
5% above category average
Azure SQL Database
-
Ratings
Pixel Perfect reports
8.88 Ratings
00 Ratings
Customizable dashboards
8.77 Ratings
00 Ratings
Report Formatting Templates
8.58 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Azure Analysis Services
8.8
8 Ratings
9% above category average
Azure SQL Database
-
Ratings
Drill-down analysis
8.96 Ratings
00 Ratings
Formatting capabilities
8.77 Ratings
00 Ratings
Integration with R or other statistical packages
8.77 Ratings
00 Ratings
Report sharing and collaboration
9.08 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Azure Analysis Services
9.0
8 Ratings
9% above category average
Azure SQL Database
-
Ratings
Publish to Web
9.08 Ratings
00 Ratings
Publish to PDF
8.97 Ratings
00 Ratings
Report Versioning
9.37 Ratings
00 Ratings
Report Delivery Scheduling
9.08 Ratings
00 Ratings
Delivery to Remote Servers
8.57 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
We would have many technical issues and glitches with previous similar providers but found that Azure Analysis Services can simply handle our workload and memory better. I remember we lost an account due to cloud issues not fully saving or corrupting some files. Granted, this is rare with any cloud but haven't had that issue with the same load of memory with Azure Analysis Services.
We have found it's a great alternative for making older legacy applications work with online databases instead of only on-premises databases. We've converted over a dozen applications this way, and it has allowed our clients to have a distributed workforce using their applications without incurring the expense of a complete application rewrite.
Providing role based access or we can say privilege based on the role to the user if it is integrated with Azure active directory and hence securing the access to sensitive data.
We use to run different type of analytics services to get the better result which is hectic if done manually or with human efforts.
We also use to collect bulk of data with the help of this tool and run customized test cases for better efficiency of result and better decision making. The result are very crucial and helps in taking big decision.
It supports different or we can say heterogeneous database vendors like the Oracle, SQL, and hence make the task easy.
Maintenance is always an issue, so using a cloud solution saves a lot of trouble.
On premise solutions always suffer from fragmented implementations here and there, where several "dba's" keep track of security and maintenance. With a cloud database it's much easier to keep a central overview.
Security options in SQL database are next level... data masking, hiding sensitive data where always neglected on premise, whereas you'll get this automatically in the cloud.
One needs to be aware that some T-SQL features are simply not available.
The programmatic access to server, trace flags, hardware from within Azure SQL Database is taken away (for a good reason).
No SQL Agent so your jobs need to be orchestrated differently.
The maximum concurrent logins maybe an unexpected problem.
Sudden disconnects.
The developers and admin must study the capacity and tier usage limits https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits otherwise some errors or even transaction aborts never seen before can occur.
Only one Latin Collation choice.
There is no way to debug T-SQL ( a big drawback in my point of view).
The interfaces are intuitive once you are familiar with all the functions. The ability to use different tools to interact with the platform, such as directly via a browser or code editors such as VS Code or Visual Studio is a great option and allows for integrating withn the project and other testing and developing tools.
We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.
The platform has vast number of features and modules. The UI is sleek and once you get to use to it, you will be able to do a lot of stuff. Also support for data sources is more in Azure Analysis Services.
We moved away from Oracle and NoSQL because we had been so reliant on them for the last 25 years, the pricing was too much and we were looking for a way to cut the cord. Snowflake is just too up in the air, feels like it is soon to be just another line item to add to your Azure subscription. Azure was just priced right, easy to migrate to and plenty of resources to hire to support/maintain it. Very easy to learn, too.