We compared Microsoft BI and Tableau based on our users reviews in six parameters. After reading the collected data, you can find our conclusion below:
Users generally find the initial setup for Microsoft BI to be simple and effortless, requiring minimal time and effort. In comparison, Tableau's setup process can range from uncomplicated to more intricate, depending on specific circumstances and requirements.
Microsoft BI is highly regarded for its impressive capabilities and adaptability, as well as its capacity to retrieve data from diverse origins and create personalized visuals. On the other hand, Tableau is commended for its ease of use, intuitive design, and proficiency in managing substantial volumes of data.
Both Microsoft BI and Tableau have areas where they can improve. Microsoft BI could enhance its user-friendliness, support, graphical and analytical features, cost, performance, integration, metadata management, visualization capabilities, stability, security, compatibility, data management process, support for product management and customer services, and documentation. On the other hand, Tableau could focus on improving its compatibility, performance, memory data concept, architecture, charting and calculations, modeling techniques, visualization options, integration, customization process, report creation, forecast instrument, GIS features, support for business insights and trend analysis, interface, licensing options, automation, write-back capabilities, drill-down functionality, security measures, workflow, and data modules.
Microsoft BI has a potentially high setup cost, particularly for enterprise-level usage. While some users find the pricing reasonable for desktop use, it becomes costly for larger-scale implementations. In contrast, Tableau's pricing is diverse, with opinions ranging from expensive to cheap. Some users perceive Tableau as expensive, especially for smaller firms, while other tools like Power BI are seen as more affordable. Generally, there is a consensus that Tableau's pricing could be enhanced to maintain competitiveness.
Microsoft BI has been highly praised for its return on investment, with users giving it a perfect rating. It is projected to generate substantial revenue growth and achieve breakeven in a relatively short period of 2-3 years. In contrast, Tableau's specific ROI is uncertain, but it is presumed to be impressive based on existing data. Customers have observed a return on investment within a quicker timeframe of 5-6 months.
The opinions on customer service for Microsoft BI are divided, with some users finding it satisfactory while others believe it needs improvement. On the other hand, Tableau's customer service has had a range of experiences, with some customers having positive ratings and others encountering limitations and difficulties in contacting the right people.
Comparison Results
Microsoft BI is praised for its ease of setup and powerful features, but users find it difficult to learn and use, with weaker graphical and analytical features compared to Tableau. The cost is considered high, and users desire better support, a more user-friendly interface, and improved performance. On the other hand, Tableau's setup can range from simple to complex, but it is highly valued for its user-friendliness and customization options. However, Tableau lacks compatibility with certain tools, has performance issues with large data, and needs improvement in visualization options and integration capabilities. Pricing is also a mixed opinion, with some finding it expensive. Customer support for both products has mixed reviews.
"Power BI stands out because it provides considerable flexibility in creating reports, dashboards, and various types of analytics to meet those dynamic requirements. It is lightweight and easy to use with good support."
"What's most valuable in this tool is that it gives its users detailed error messages. It's a very stable data analytics tool, and it offers good scalability."
"The tool is very flexible so it allows creativity."
"It integrates better with other Microsoft products. It is very easy to use and has very powerful visualizations. It has also got a lot of development going on."
"The solution is easy to set up and implement."
"It is easy to use. It has got a desktop where people can develop their own dashboards. Basically, we have figured out how to connect finance contracts and all programs for the government agency. So, they can see everything in a dashboard. So, it is very easy to use from a technical standpoint of view."
"Power BI is more powerful than other tools because it is new for us. Each new version has more capabilities, and we're expecting AI and ML features in the next version."
"The one feature most of our customers like is data visualization. When we were doing BI directly from SQL, most users found it challenging to create their own reports. Power BI has self-serve analytics that the end-users can do themselves. On most projects, people are primarily using data visualization and self-serve analytics."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on."
"The Web Editing capabilities allow us to grant end users enough capabilities for them to do self-serve discovery without the added cost of needing to get everyone desktop licenses."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or Titan, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data."
"The product has the best features for analytical views and filters."
"One thing I would like to have is the scripting language, as they already have within Excel. It's already within a Microsoft business product, because Excel is the number one business product out there. So it would be nice to have the scripting capability in order to automate certain processes."
"The solution could benefit by allowing deeper data analytics."
"If you are having millions of rows of data or you have a large database, Microsoft BI's performance depends upon how powerful your hardware is. When I am handling large amounts of data I do not use Microsoft BI or Tableau because of this, I use D3."
"The only concern I have faced with Microsoft BI is the time it takes to find out an issue and rectify it."
"I would like to see a change in the premium capacity."
"The smart phone application could be improved, along with better graphics and faster updating."
"In an upcoming release, the solution could be simplified and have a more complete product package rather than a suite of products that we have to put together."
"The setup took a lot of tinkering with InfoSec to allow us to do stuff."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"They need a write-back; that is what is missing. If they get the write back to the database, they will be fully automated, but for the time being, they are not."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"They need to improve the icons and the filters, because they look too old, resembling Excel from 1997."
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"There are not enough language options. It needs to be offered in more than just English."
"From a downside perspective, some of the more advanced modeling techniques are actually fairly difficult to do. In addition, I just fundamentally disagree with the way you have to implement them because you can get incorrect answers in some cases."
"The charting is overly complex in comparison with Power BI's"
Microsoft Power BI is ranked 1st in Reporting with 297 reviews while Tableau is ranked 2nd in Reporting with 292 reviews. Microsoft Power BI is rated 8.0, while Tableau is rated 8.4. The top reviewer of Microsoft Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". Microsoft Power BI is most compared with Amazon QuickSight, KNIME, Domo, Oracle OBIEE and MicroStrategy, whereas Tableau is most compared with Amazon QuickSight, Domo, SAS Visual Analytics, Databricks and SAP Analytics Cloud. See our Microsoft Power BI vs. Tableau report.
See our list of best Reporting vendors and best BI (Business Intelligence) Tools vendors.
We monitor all Reporting reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
Sorry to hear you have to move to Report Builder. Tableau is superior by a long shot! Find another gig. Don't go backwards. Move forward with Tableau !
Tableau is more suitable for somebody that is not developer and it's very easy to use and to create great visual presentation. For developers Report Builder would be more domestic.
It is really the outcome and target goals that are achieved with the right set of BI solutions,people using it to add more efficiency and productivity at all fronts is the kind of result you want to see. Tools include human and technology bonded together to produce results, After all it is the function of both parties to work together, collaborate and share resources together. In the human perspective we look at the training and how best we can create solutions . With the BI solution it is the way we distinguish between the existing solutions that will to the best of its capability serve our business interests and requirements.
Current business leadership include the VP of Finance, so determining a business case was and is a problem for him and those directly under him. So is a no my problem.
Thanks,
Rich
Rich- What is it that current leadership perceives as lacking in the current reporting tool set?
Why change if the only benefit is features or a products capabilities?
Can the products features and capabilities be exploited?
By who and when?
How does that make money for the company?
Increased profit?
Cost reduction?
Increased resource utilization?
Fewer days for order to cash?
Reduced collections?
Better on time shipping?
Faster production?
Increased gross margin?
Reduced inventory?
You get the picture. It's the people that make the difference. Not the tool!
What is it that we need to know to grow our business constantly and continuously?
Every tool mentioned can do really great "stuff".
But what "stuff" does your company need?
To answer the initial question: Every change is difficult without buy-in from the stakeholders.
People love change. What they don't like is change without benefit. Perceived or real.
I hope this helps you a little to better meet the challenges you're facing.
I wish you the best.
Reading through the responses from all you knowledgeable persons out there is so very enlightening. It's like sitting in a room and getting your experiences on these tools first hand. Thanks a lot for your inputs, which will help in putting pros and cons for the company to make a trade off and choose over the two.
Rich- What is it that current leadership perceives as lacking in the current reporting tool set?
Why change if the only benefit is features or a products capabilities?
Can the products features and capabilities be exploited?
By who and when?
How does that make money for the company?
Increased profit?
Cost reduction?
Increased resource utilization?
Fewer days for order to cash?
Reduced collections?
Better on time shipping?
Faster production?
Increased gross margin?
Reduced inventory?
You get the picture. It's the people that make the difference. Not the tool!
What is it that we need to know to grow our business constantly and continuously?
Every tool mentioned can do really great "stuff".
But what "stuff" does your company need?
To answer the initial question: Every change is difficult without buy-in from the stakeholders.
People love change. What they don't like is change without benefit. Perceived or real.
I hope this helps you a little to better meet the challenges you're facing.
I wish you the best.
I wouldn't feel too sorry, it is a very good group to work with. After a lot of years working in IT both in the US and Europe one of the things I find interesting is that Americans in business, especially with regard to software, feel they must have the latest, greatest and most feature rich everything when very often being a little behind the bleeding edge gets the job done and costs less. The real issue is to look at the problem being solved and find good enough while keeping an eye on where you are going.
Having said that took a brief look at the link you indicated and I like the fact that it runs on Linux. Thumbs up on that aspect.
Thanks,
Rich