Likelihood to Recommend Amazon Quicksight is a truly cloud-based solution so it works perfectly fine and saves a lot of expense in terms of hardware and maintenance. We can maintain it by ourselves by giving commands on UI. If you have connectivity issues then it can cause headaches because it's a cloud platform and it's a bit costly as compared to other services
Read full review Microsoft BI is well suited for Stream analytics, easy data integration, report creation and UI/UX designs (limited but what all available are great ones) Microsoft BI may be less appropriate for handling huge number of datasets and difficult queries. It may also be difficult for a company with heavy data.
Read full review Pros Easily to set up for data sources, already supports quite a few of AWS and non-AWS data sources Cost friendly since users are charged only for basis of usage Read full review Comparatively easy to use compared to other data analytics solutions, collaborating with other colleagues on data work is simple. Using Visual Studio for database, ETL, reporting, and analytics development save time and money. Transfer of data from one application to another via Excel and comparison of data attributes between applications Dashboard functionality, as well as Python support, are available, allowing you to add additional charts and graphs. Read full review Cons It is still immature as a cloud-based BI tool. Its functionality is about 40-50% of its competitor's products. Application is still a little buggy and non-intuitive at times. Read full review The race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category. Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups. Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI. Read full review Likelihood to Renew Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
Read full review Usability It is easy to use and set up no need to put in so much effort. Once build, the dashboard can be used with multiple clients with the same domain. It provides multiple connectivity options which makes it a versatile option for reporting.
Read full review The Microsoft BI tools have great usability for both developers and end users alike. For developers familiar with Visual Studio, there is little learning curve. For those not, the single Visual Studio IDE means not having to learn separate tools for each component. For end-users, the web interface for SSRS is simple to navigate with intuitive controls. For ad-hoc analysis, Excel can connect directly to SSAS and provide a pivot table like experience which is familiar to many users. For database development, there is beginning to be some confusion, as there are now three tool choices (VS, SSMS, Azure Data Studio) for developers. I would like to see Azure Data Studio become the superset of SSMS and eventually supplant it.
Read full review Reliability and Availability The product has been reliable.
Read full review Performance SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
Read full review Support Rating They provide proper support when needed. They are always ready to provide the box solution and make things easier for users.
Read full review While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
Read full review In-Person Training This training was more directed toward what the product was capable of rather than actual programming.
Read full review Online Training I have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
Read full review Implementation Rating We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
Read full review Alternatives Considered All of the other reporting platforms my organization has used previously were within our CRM and not a standalone program. In that we were very limited in being able to slice and dice the data the way that we wanted to
Read full review We have used the built in ConnectWise Manager reports and custom reports. The reports provide static data. PowerBI shows us live data we can drill down into and easily adjust parameters. It's much more useful than a static PDF report.
Read full review Return on Investment Reduce lots of setup and maintenance cost. Latest technology in market. Full eco system provided under on roof. Cost effective. Read full review As a SaaS provider we see being able to provide self-service BI to our client users as a competitive advantage. In fact the MSSQL enabled BI is a contributing factor to many winning RFPs we have done for prospective client organisations. However MSSQL BI requires extensive knowledge and skills to design and develop data warehouses & data models as a foundation to support business analysts and users to interrogate data effectively and efficiently. Often times we find having strong in-house MSSQL expertise is a bless. Read full review ScreenShots