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.
"It is a little easier at buildings charts and graphs than Tableau."
"It provides easy integration with Office tools."
"Power BI allows you to create user defined charts which is really useful."
"The querying capabilities are the most valuable because they allow me to build many automations. We have many workflows and many databases that we work on a daily basis. They need to be updated quite quickly. In order to not to take much of our time doing these updates manually, I have set up these automations using the systems. The process is just to ingest the data and reprocess it. Every time I click a button, everything is updated in almost real time. It is by far the easiest system not only for querying but also for data modeling, data visualization, and deployment. It is light years ahead of Tableau and even Microsoft Excel to do these kinds of things. It is very easy to use and set up, and it has a lot of videos on the internet."
"What I have found valuable about Microsoft BI is its performance and ease of use. The interface is very simple and it is accessible to everyone. If someone is new to this type of solution it is straightforward to understand."
"We have a lot of servers and applications from which we want reports, and it allows us to create reports from an SQL source or some other source."
"One of the most valuable aspects of this tool is its ease of use and the ability to easily share information with others."
"The user experience is easy. Users get familiar with it quickly."
"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
"The most valuable feature is the user experience."
"It's very user-friendly. It's not like Power BI, Tableau is very user-friendly. Anybody can use Tableau. It's very easy to adopt things. I can visualize the stats."
"Since Tableau is on the cloud, we haven't faced any challenges around scalability."
"Easy to create graphs and visualizations."
"The most valuable part of the solution is the general dashboard features."
"Tableau is easy to use. That's the first and most important thing. I not only provide consulting but I also train people to use it, so with its ease-of-use it's not as difficult for me to train executives and management staff, because they don't have the IT background, unlike when I'm using Python."
"Tableau is an advanced specialized tool. One of the best features I've seen is the lack of an intermediate semantic layer. I think that's an advantage compared to any other tool like BusinessObjects or Power BI, which are Tableau's biggest competitors."
"The reporting part of Microsoft BI is rather limited compared to other reporting tools."
"The Power Query feature needs to be improved to handle large amounts of data. This feature is also slow for large data transfers making it better to use some kind of script."
"Microsoft needs to provide more drivers to connect other data sources in a native way."
"I have found using Microsoft BI is not easy. For example, trying to use the auto-refresh feature is not simple."
"Microsoft BI lacks integration capabilities, so it needs to consider increasing its integration capabilities."
"They can improve it in terms of rule-based security. Currently, it has very limited rules."
"For someone who is new, I think that Power BI can be a little complicated."
"There are some limitations in Power BI; you have to work in the Power BI base. However, if you want something not out-of-the-box and you want something custom, you have to do a lot of work."
"The user experience for less savvy or non-technical people (from my experience)."
"I would like Tableau Prep to be integrated with Tableau Desktop. I would also like more customizations for tables."
"The pricing is a bit higher than the competition. They'll need to lower it to stay competitive."
"In the next release, I would like to be able to have the option to see more raw data that I'm converting on the dashboard."
"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."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages."
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