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.
"We have found the product very stable and reliable."
"The most interesting feature of Microsoft Power BI is that it's very user-friendly."
"There is continual improvement year-over-year."
"Technical support is quite responsive."
"It's a pretty scalable product."
"It's a straightforward setup."
"There is a lot of variety in Power BI. In particular, the visuals are quite rich and the feature set has been growing rapidly in the last two years. Possibly the best part for me is that there are a lot of ways to connect with data sources."
"The most valuable feature is definitely the visual aspect and the DAX capabilities to virtually do anything."
"The product has the best features for analytical views and filters."
"The data visualization piece is most valuable. We do ad-hoc analysis or one-time shot things, but there are things that we have to track every single day. When our management and our customers want to see how things are changing, the dashboarding provides that information. Tableau is key in providing that data on a refresh basis. We use a data blending tool that pumps the data into Tableau, and we just schedule it to run every single day. So, the automation of the data and being able to present it to people who are interested are the most valuable features."
"It is easy to adapt visualizers to have interactive conversations among decision-makers."
"I have found the solution easy to use and the interface is very good."
"Gradual scalability from simple to complex situations"
"Tableau is very good in the front-end visualization compared to Power BI."
"There are already connectors to almost every single major database and service that you can possibly think of."
"The UI part is the best. The end-users can easily get started with Tableau Desktop or Tableau Online because of its user-friendliness."
"The challenge of this product is in truncating the table data."
"Microsoft BI typically connects to a database, often SQL Server, but it's also capable of connecting to multiple databases, pulling data from them, and allowing for data consolidation. You can then aggregate and generate dashboards and reports from this combined data. Personally, I wouldn't claim to have the expertise to suggest significant changes or additional features, as it functions quite well as is."
"We found out that you can't share a report with others unless you have an additional package. That caught us off guard. It came as a program that somebody could go in, build a report, and show it, but you can't share it without having additional licenses."
"I would like to see integration with Excel."
"Microsoft BI could improve by allowing large-size data sources. We have large data sources, and we have problems loading them in Microsoft BI."
"The mobile app is very poor."
"It has limited performance capabilities in terms of connecting to large transactional databases, but it is fine for simple and quick queries from Excel spreadsheets or one table. The premium level is going to be more applicable for the higher transaction-level databases."
"It should be more user-friendly and simple."
"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."
"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."
"I am not a frequent user of this solution, so I am not sure what they've been doing recently. The last time when I used it, I had to use other tools with it for data extraction and cleansing. Its price should also be improved. It is more expensive than Power BI. In terms of training, there is generally better online training for Power BI, but I am not sure of that. It would be helpful to know from where to access its training."
"Its integration with Microsoft products such as Teams should be improved."
"Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau."
"When it comes to visualizations, Tableau has a limitation as compared to Power BI. It has a limited set of visualizations. Power BI has the entire marketplace, so you can connect and import many visualizations and use them, whereas Tableau has only 10 or 15 visualizations. There should be more visualizations, and there should also be data integration with more cloud providers."
"The solution could use more features in data analytics."
"An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization."
Microsoft Power BI is ranked 1st in Reporting with 297 reviews while Tableau is ranked 2nd in Reporting with 290 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