Azure Analysis Services Reviews & Product Details

The coolest thing approximately Purplish blue Investigation Administrations is that it lets you construct effective information models within the cloud. No more stressing almost servers, it fair scales up and down as you wish it, and everything is secure with Microsoft backing it up. Think of it as super simple to utilize building squares for your trade bits of knowledge! Review collected by and hosted on G2.com.

The coolest highlight of Sky blue Investigation Administrations is that it's like enchantment building pieces for your commerce information within the cloud. No servers to mess with, fair develop it as you need!

Downside? Can be pricier than a few less difficult devices and takes a small learning to utilize. But hello, in case you're genuine almost information bits of knowledge, it's worth it! Review collected by and hosted on G2.com.

Support of HD Insights, and because of this it can handle large datasets without any problem which can be pretty difficult with SSAS.

Also, azure is always less expensive than SSAS as this will only charge when we are actually using it. Review collected by and hosted on G2.com.

There is not much i dislike about AAS. I find it much better than other analysis tool. But i find it a little bit difficult to use it compare to SSAS. Review collected by and hosted on G2.com.

Azure analytics service (AAS) provide the compute engine to process large amount of data and do large scale data modelling, relationships and calculations.

Previously for analytics, we had a limit in PowerBI to store data for premium users and it was hard to do complex data modelling using DBMS normalisations and denormalizations as PBI will take more time to process to change even simple data type.

So for big data workload, specially if you are using streaming data, live data to generate reports the to improve the dynamic capabilities of PBI reports AAS is good.

Also you can easily integrate this with other azure services like ADF, Databricks to do your ETL process.

Also, AAS support the ETL as well and we can group the relationship in hierarchy in folder like one to one, many to one etc.

Also auto detect saves lot of time.

If you have large number of users for report sharing and if they need the visuals, dashboards at real time for complex data AAS helps to achieve that. Review collected by and hosted on G2.com.

Well, for actual analytics we need to connect with powerbi in order to make visuals, tiles, reports, KPIs as AAS doens't support end report analytics .

It adds additional layer of complexity and can't easily see the dynamic change we doing in tabular data model in dashboard.

We need jump everytime to PBI for that. Review collected by and hosted on G2.com.

It's very secure in first place. Scalability is easy task to bring up or bring down based on business needs. It can be integrated with multiple microsoft tools that aids analysis services. Review collected by and hosted on G2.com.

Eventhough it got hosts of features that considered as pros but it need expertise and experience to handle things that needs to be done in this platforms Review collected by and hosted on G2.com.

Well as you might already know Azure is more dependable for its scalability,performance & security which can be more helpful while processing large amounts of bigdata from different sources and file types.Also we can integrate AAS with other microsoft tools which will make it easy for the organisations who are already ising Microsoft related tools to be integrated with it Review collected by and hosted on G2.com.

Well,obviously since its a cloud service the cost would be higher than other local mainframe services since for every instances we use it takes alot of credits out of each instances, also there will be a slight learning curve for people who are new to azure services...also one of the main issues we face is its performance tuning which is kind of subpar and we spend so much time in tuning it to get our desired response Review collected by and hosted on G2.com.

First of all, its integration with other azure services is seamless which makes it perfect to use secondly it security which is unmatched. Thirdly the user interface is so friendly even a not tech person can understand it. One more feature which i like most is it works with all the datasets irrespective of the length of data set. Review collected by and hosted on G2.com.

I personally did not find any issue with the Azure services, however users have to commit to the azure ecosystem which could be limitations to the several companies sepcially the companies using mix cloud providers. Review collected by and hosted on G2.com.

The most helpful of Azure Analysis Services are as follows:-

-Scalability-Azure Analytics Services can handle large volumes of data and can scale up or down based on your organization's needs. You can provision the necessary resources to ensure optimal performance.

-Integration-It seamlessly integrates with other Azure services and tools, such as Power BI, Azure Data Factory, and Azure SQL, Data Warehouse, making it easy to create end to end data analytics solutions. Review collected by and hosted on G2.com.

Dislikes:-

-Lack of Direct Query for certain data sources:- While Azure Analysis Services supports DirectQuery for some data sources, it may not be available for all, potentially requiring data duplication or additional data integration steps.

-Services Outages:- Like any cloud service, Azure Analysis Services can experience occasional service outages or disruptions, which can impact business operation if not properly mitigated Review collected by and hosted on G2.com.

While Azure Analysis Services offers an intuitive interface, it requires some technical knowledge to operate. It is recommended that users have some experience in data analysis to take full advantage of all the features of this tool, but in general it is a tool with great business benefits Review collected by and hosted on G2.com.

I like it because it is a powerful tool that allows for efficient and scalable data analysis in the cloud. This platform allows you to create analytical models, perform queries and generate data visualizations quickly and accurately, in addition this platform integrates natively with other Microsoft data analysis tools, such as Power BI and Excel, which facilitates the generation of interactive reports and visualizations, also allowing to automatically adjust the resources according to the user's needs, which allows analysis of large volumes of data without worrying about processing capacity. Review collected by and hosted on G2.com.

easy to use and implement ,easy to integrate with other microsft product ,best in class product support by microsoft team ,multiple number of feature availble to use ,used number of times by various user means great user frequancy Review collected by and hosted on G2.com.

cost needs to be reduced ,can be copled with many other third part BI tools Review collected by and hosted on G2.com.

In the logistics area we usually handle very large databases of more than 25,000 data and most platforms are usually very slow and also only one person can work at a time, with Azure AS we could handle even larger databases and more frequently, we worked more than 5 people in the same file, analyzed the information in an agile way. Review collected by and hosted on G2.com.

Like most corporate platforms, the only drawback is that you must have previous experience in this type of platform and know how to implement it with more tools to get the most out of it. Review collected by and hosted on G2.com.