Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
$9.99
per user/per month
Tableau Desktop
Score 8.3 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$70
per month
Pricing
Microsoft BI (MSBI)
Tableau Desktop
Editions & Modules
Power BI Pro
$9.99
per user/per month
Power BI Premium
4,995
per month
Tableau Creator
$70.00
Per User / Per Month
Offerings
Pricing Offerings
Microsoft BI (MSBI)
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Microsoft BI (MSBI)
Tableau Desktop
Ask people about this product
Oswald Schmidt• 2nd
Legacy Response Consultant at Pagac - Flatley
Skilled at Licensed Concrete Soap
Haven Koelpin• 2nd
District Markets Director at Johns, Bruen and Haag
Skilled at Rustic Granite Tuna
Nash Pfannerstill• 2nd
Regional Implementation Planner at Langosh Inc
Skilled at Refined Metal Tuna
See helpful people who have experience with this product
Considered Both Products
Microsoft BI (MSBI)
Verified User
Manager
Chose Microsoft BI (MSBI)
Tableau is a very feature rich tool, but it is also a pricey tool relative to Microsoft BI. Tableau's visualizations are very nice, but those features don't necessarily give us a strategic advantage or allow us get our work done any quicker. The monthly fee that you pay for …
Microsoft BI stacks up against Tableau because Tableau cannot blend various data sources easily. Tableau produces nice reports with a single data source. Today, it's not what we need. We need to easily combine multiple data sources. I would recommend either Microsoft BI or …
Microsoft BI is a great tool when it comes to various integration with line of business applications and its own ecosystem which contains office applications widely used all over the world. Hence, it is well suited for organizations that are complex and have global foot-print. …
Microsoft BI is very well suited to implement reporting and visualization within departments. Choosing Microsoft BI over tools like Tableau is the variety of third party apps it extracts data from. This functionality is limited in Tableau as it digests data from large data …
Conseiller à l'implantation, Solutions de performance et gestion de l'information
Chose Microsoft BI (MSBI)
For analysis and visualization, Power BI is aiming to take a large chunk of Tableau's market share. The rhythm of iterations at this time has in my opinion given the momentum to Power BI. The added functionalities in Excel also make it possible for intermediate users to get …
Unlike Oracle Business Intelligence Cloud Service (OBICS), Microsoft BI offers a good range of visualisation options. However, it falls behind in terms of data management capabilities. If your requirements are more data intensive and less reporting intensive, then Microsoft BI …
Tableau is very slow, and it's very complicated to use, whereas Microsoft BI is faster and more efficient.
Verified User
Manager
Chose Microsoft BI (MSBI)
Tableau's feature set is comparable to Microsoft BI at a potentially lower cost, however, Microsoft provides better integration into a Microsoft Environment and more flexible deployment options. Microsoft also provides better enterprise support than Tableau (although this may …
The biggest player against Microsoft BI (MSBI) was Tableau, which was acquired by Salesforce. Recently there have been other standalone software/applications that provide similar functionality to Microsoft BI (MSBI). Because my company is a Microsoft shop, we have not explored …
Better integration with Microsoft products is one of the advantages of using Business Intelligence (BI). It's simple to understand, and plenty of resources are available to outsource it. Many of our existing clients have Microsoft licensing agreements. It's an obvious path when …
Outsourcing work is easy to understand, and there are plenty of resources available in the marketplace. It is expensive, but it is still significantly less costly than the alternatives. Results from Microsoft BI (MSBI) are dependable; therefore, there is no problem with trust. …
MSBI is great for data collection and reporting, but it lacks the visual appeal and features of Power BI. Even though it's still useful, it falls short of Power BI in terms of features. There's no reason to doubt MSBI's findings. MSBI has a proactive customer service team that …
A lot of our existing client base has licensing agreements in place with Microsoft, couple that with decision-makers wanting to achieve the outcome with the least amount of additional licensing costs added, and it becomes an obvious path, however, it is very crucial to first …
Specific data displays are some of the strongest aspects of Microsoft BI when compared to alternate programs. It also does a superior job in compatibility with many programs, especially those from Microsoft. Since my company primarily uses Office 365 and other Microsoft …
The other programs listed are excellent. I have always been a fan of Google products because they are user-friendly and easily accessible by most. They also produce excellent data outputs. Google is still great for companies of any size but I believe Microsoft BI is an even …
The software stacks [well] because it has more graphics resolution and the colors are fresh and actualized. On the other hand, there is the Microsoft family software and this is an advantage. Microsoft has a lot of users around the world and it's like everyone knows how to do …
Microsoft BI is ideal for proficient Excel users, and it is the best choice in terms of visualizations. We decided to use Microsoft BI for these reasons.
With over 20 years in IT, I have experienced a full range of relational and non-relational data solutions, from Oracle and Informix to MongoDB and Hadoop. In my opinion, the Microsoft BI stack is the most complete, well-rounded, high performing data management system on the …
Microsoft is a distant me too in a world that is crowded and drowning in BI Me too products. Visualizations 5/10. Micro Strategy, ClickView, Domo, BOBJ etc will kill this product. The issue is cost and speed to implementation. The cost is far less than any of the previously …
I have been using the open source open standards BI tool 'Pentaho' before moving into the Microsoft space and I must admit I was surprised how much more difficult it is to do development in Microsoft. Having said that the cubes (SSAS) and reporting (SSRS) side does seem more …
While I haven't done a lot of work in Microsoft BI, I do think they are on the right road to being a great product but they definitely lag behind Tableau in the number of features available. Obviously, it does integrate well with Microsoft products, but it remains to be seen …
Tableau is so much better for data visualization and analysis than Microsoft Reporting Services, but lacks the other functionalities that are included on Microsoft BI (MBI). That's why we use MBI to extract and consolidate our data and Tableau to create some advanced reports.
Tableau supports more data sources that both Amazon QuickSight and Microsoft Power BI. It also created a much more sophisticated dashboard which is important for leadership and others who use it. However, we use other products like Toad Data Point and Alteryx and tools that …
It is very easy to use, we can create numbers of charts through it which I think other tools lack in. Lots of online communities are there which have provided solutions to the basic issues. Its ODS(output delivery system) is also very effective. We can use SQL in it for …
Tableau has a great community engagement, and it's really great to find and connect with other Tableau users. I think that really sets them apart from other tools, where Tableau has invested in empowering local user groups and supporting users online through the Tableau …
My current work environment uses both Tableau Online, MicroStrategy & SSRS in parallel. Tableau is much closer to the SSRS in terms of visualization tool where as MicroStrategy is an enterprise data modeling and reporting tool.
Based on the use case we use different tools. Here …
Excel is almost as good as Tableau. If you have a few thousand floating around just spring for the Tableau. QlikView is an abomination. Not much else to say there. SAS and friends are like ye olde-timey versions of Tableau in terms of their visualization abilities. Python, R, …
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.
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
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.
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.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
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.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
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.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
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.
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
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.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
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.
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
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.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
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.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.