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Buyer's Guide
Oracle OBIEE vs. SAP BusinessObjects Business Intelligence Platform
May 2022
Find out what your peers are saying about Oracle OBIEE vs. SAP BusinessObjects Business Intelligence Platform and other solutions. Updated: May 2022.
609,272 professionals have used our research since 2012.

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Mohamed AbdelRhman - PeerSpot reviewer
Data Teamlead at Elmenus
Real User
Top 20
Raw data aggregation gives us real insight into how different business areas are performing
Pros and Cons
  • "Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
  • "Most of the problems in Tableau Online that I have noticed have to do with performance or weird, inexplicable bugs that I can't pin down. For example, you might try unloading some data, and you'll be waiting for a long time without anything happening."

What is our primary use case?

I work in the hospitality industry and I use Tableau Online and Tableau Bridge with our food ordering company. In our specific uses, I have found that Tableau is very good for extracting data, rather than for working live on the data.

Although the process of transferring data to Tableau isn't the best, once the data is already on Tableau, it works completely fine. I will typically make use of layer aggregation and other operations such as slicing and analyzing it by getting right inside the data in various ways.

How has it helped my organization?

Due to the demands of our industry, we always have things that we would like to see more in-depth over different dimensions, such as restaurants, branches, cities, and so on. With Tableau's help, our company can aggregate all the raw data and then analyze by rows, to see, for instance, which restaurant is doing the best by comparing them with one another. It also enables us to easily split areas into zones and use the data to test for not only which restaurants are doing the best, but also where (i.e. in which cities and branches). 

What is most valuable?

Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis. Once you have extracted the data, the aggregate layers you can create, along with slicing and other operations, are very handy. It allows us to really get inside the data, and it is, in my opinion, better than any other tool I have used with the same pricing model.

Of the best analysis features, multi-aggregation layers come out on top for me, because they let you extract raw details while making multiple aggregations on different time levels and different dimensions, and you still manage to get your work done quickly without having to load a lot of data grouped over different dimensions.

Tableau Bridge is also a very good tool, however I can tell that it does need a few fixes and some maintenance. That said, it's still good for its first few years since release.

What needs improvement?

Most of the problems in Tableau Online that I have noticed have to do with performance or weird, inexplicable bugs that I can't pin down. For example, you might try unloading some data, and you'll be waiting for a long time without anything happening.

These bugs always seem to happen when we perform big upgrades or do maintenance work, and we have had to send a lot of tickets for unexplained issues during these times. It doesn't seem to be a problem only for us, but also for customers all over the world, such as in Ireland, Western Europe, Eastern Europe, and the US, too.

As for future features, I would like to see major upgrades in Bridge and the Flow Tool, allowing us to do more data engineering work. I think it would give Tableau a big edge in the market to look into how to incorporate more data engineering tools into their product. 

Besides that, I would also like the charts to be more realistic and easier on the eyes.

For how long have I used the solution?

I have been using Tableau Online for three years now.

What do I think about the stability of the solution?

The stability is okay. It's not 24/7, but you can say it's stable enough. In the start, it's more stable, especially compared to our OBIEE problems, which have taken two or three days to solve in the past.

What do I think about the scalability of the solution?

It's easy to contact Tableau and ask to increase users or resources. They'll do it in the blink of an eye.

At present, we have 20 users, 12 of which are shift users. The majority of our users in total are board members or high-level managers. 

How are customer service and support?

I wouldn't give their support more than a seven out of ten rating.

Which solution did I use previously and why did I switch?

I have previously used Power BI, Qlik Sense, and Qlikview. I switched because Tableau was better in working with different sources compared to Power BI which was the only one that was truly on par. Qlik Sense and QlikView were easy to use but didn't have most of the features that Tableau and Power BI offered. Then there's OBIEE which I have used for the past two years, but it is quite difficult for non-technical users.

I also didn't like that Power BI is typically coupled with Microsoft Azure, whereas Tableau works well with AWS and Google which are a lot easier. 

How was the initial setup?

The setup is straightforward. I mean, there's not much setup at all. It's easy for any mid-level user to do it. For example, I just used the documentation they provided and did everything myself. The documentation was sufficient
and the implementation strategy doesn't take more than 20 days.

What about the implementation team?

I implemented Tableau by myself using the documentation they have made available. And for maintenance on one single node, you might need only two to three people involved.

What's my experience with pricing, setup cost, and licensing?

For data extraction and analysis, Tableau is better than any other tool I have used with the same pricing model.

What other advice do I have?

My ultimate advice is that you should know what the tool is capable of first and what your needs are. I think it's better to use the Server edition, and not Cloud, because there are a lot of problems in the Cloud version that don't seem to be present in the Server version. As for myself, I will likely switch to Tableau Server next year after doing a bit more research on how to do the changeover.

I would rate Tableau an eight out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Program Director Education Technology & Data Services at a government with 5,001-10,000 employees
Real User
It's good for training and teaching, handles Excel data well
Pros and Cons
  • "I like the fact that Power BI lets me use Excel data. At least 90% of my state data is in Excel spreadsheets. Having the ability to just attach a spreadsheet as a data source is very, very important. It's also good for training and teaching. Sometimes you don't always have access to a live production database, so having a spreadsheet with sample data is always nice."
  • "The Microsoft BI interface should be simpler and more user-friendly. I find it very difficult to move between their data sources and their analytics section."

What is our primary use case?

I would describe myself as more of a casual user, only because I have so many other things that I have to get done. I wish I could be more of a user, but it's hard. Right now, I have two different main use cases. I use it for teaching. At another institution, I use it for demonstrating how easy it is to build dashboards. It was really to show to all my users the benefit of business analytics. I use it to demonstrate how easy it is to generate your own analytics versus having a department run reports for you then putting it in Excel and making graphs. 

What is most valuable?

I like the fact that Power BI lets me use Excel data. At least 90% of my state data is in Excel spreadsheets. Having the ability to just attach a spreadsheet as a data source is very, very important. It's also good for training and teaching. Sometimes you don't always have access to a live production database, so having a spreadsheet with sample data is always nice.

What needs improvement?

The Microsoft BI interface should be simpler and more user-friendly. I find it very difficult to move between their data sources and their analytics section. It's probably designed by data analysts that typically get the data from somewhere else. So, one person logs into Power BI, moves the data around and puts it in the proper form then somebody else goes in from the dashboard. What I'm finding more and more is that the person playing with the data is also going to be the person building the dashboard, so the interface needs to be more seamless and dumbed down for the average user. 

Tableau is much better at that, which is probably why it's more expensive. The days where one person works on the data and someone else does the analytics are coming to an end. In the past, larger organizations usually had a dedicated analytics team and a dedicated data team. Now we buy data as a service, so we got rid of our data team and we don't have analysts per se. Instead, we have smart users. So I think Microsoft BI needs to move on to the next iteration of truly user-friendly solutions.

For how long have I used the solution?

I've been using Microsoft BI for about three years.

What do I think about the stability of the solution?

Microsoft BI has never crashed on me.

What do I think about the scalability of the solution?

I honestly can't comment on how scalable Microsoft BI is because I've never taken it beyond training or simple use. But I would imagine, if it's on Azure, that it's scalable. I haven't had the pleasure of scaling it, so I don't know, but it doesn't strike me as a solution that would have problems with scalability.

How are customer service and technical support?

I have not had to contact technical support, but I've actually downloaded and taken three Power BI courses for free and they're very good.

Which solution did I use previously and why did I switch?

I was using Tableau but the licensing cost went up when Salesforce required them to raise the price. But if the price hadn't changed, I would've absolutely stuck with Tableau because I like it. I do not know about the cost of the licenses. We buy it from the state and when it went up, our CIO at the time said no more Tableau licenses. I had to scramble to find a replacement, and fortunately, I discovered that Power BI is included in Microsoft 365. However, I prefer Tableau's interface. Microsoft BI's user interface is convoluted in terms of how you attach a data source. You have a separate screen for defining your data and then you have to jump to a different screen to model the results. In other words, there are two separate interfaces for data and analytics. In Tableau, it's more seamless. 

How was the initial setup?

Setup is very easy. You click on the icon, download the MSI, and it loads itself. It takes about a couple of hours to deploy overall.

What other advice do I have?

I'd rate Microsoft BI as an eight out of 10. The biggest drawback is the user interface. From what I'm seeing, Windows 11 is going to have a more user-friendly interface. Even Microsoft Edge is adopting a more user-friendly interface. I'm hoping that Power BI follows this trend as well. 

My advice for anyone who is thinking about adopting Microsoft BI is to understand what you're trying to do with it. If you're trying to do analytics with it, then it depends on the kind of analytics. If you're want to do statistical analytics, it's not the tool for you. It's a tool that's better suited for visual analytics than it is for straight-up analytics. If you're dealing with patterns and data, it's great. If you're working with numbers and data, it's not so good. You're better off with a statistical package.

Which deployment model are you using for this solution?

Hybrid Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Michael-Brooks - PeerSpot reviewer
Chief Information Officer at Solutions Business Technology
Real User
Top 10
Well packaged and easy to figure out but needs better visualization
Pros and Cons
  • "The solution's features are all just wrapped up in one nice easy package. I don't need a lot of toolsets to get everything I need done."
  • "It doesn't have quite the flexibility of a Tableau or something like that. Many users are more comfortable with Tableau and I'm not quite sure why that is right now, but it seems to be the case."

What is our primary use case?

In one particular case, we had reporting issues and we were sucking data off of a couple of different systems into a data monitor. You might call it a data rig now. Due to the fact that we did that, we were using the transformation pieces to pull it into that data monitoring, and put out some operational-type reports.

The fun part about it was because we could do a lot with it and it didn't need necessarily another layer reports. It was pretty much encapsulated well already. 

What is most valuable?

The solution's features are all just wrapped up in one nice easy package. I don't need a lot of toolsets to get everything I need done.

It's not a difficult solution to figure out.

What needs improvement?

It doesn't have quite the flexibility of a Tableau or something like that. Many users are more comfortable with Tableau and I'm not quite sure why that is right now, but it seems to be the case.

The visualization needs improvement. They're lacking. Once again, Tableau is better in this respect. Basically taking the data and visualizing it onto the different types of reports and stuff like that needs to get better.

For how long have I used the solution?

I've been using the solution for the last twelve years or so.

What do I think about the stability of the solution?

On-premises, I've never had stability issues with its exception of the original versions. It's safe to say the solution is quite stable at this point. For me, at least, it's been stable. I don't think I have a problem with it in that sense. It doesn't crash or freeze and I can't say it's buggy or glitchy.

What do I think about the scalability of the solution?

The solution doesn't scale horizontally. 

From a vertical scalability standpoint, it's fine. It depends on the same issues that all relational databases do. Even if you set it up for reporting, etc. However, from a horizontal scaling, it really wasn't the way that it was designed. At the end of the day, I don't really know. I haven't used it for scaling purposes personally and don't even know if it's capable of scaling horizontally.

We probably only have about 100 users on the solution. It's not a lot. We just use it for a financial app.

How are customer service and technical support?

Typically, if a company has bad consultants, they need to contact technical support a lot. However, we have a very good understanding of the product, so that's not usually necessary.

Which solution did I use previously and why did I switch?

We've previously used a lot of different products, including Oracle OBIEE and Oracle Business Intelligence Discoverer. Discover is quite old. Most people wouldn't even know what it is. 

How was the initial setup?

The initial setup question is a tricky one to answer. It depends on what you call easy. Some implemented well, and it was due to the fact that we put it in a monitor because the data didn't join well and we had some bigger data management issues. Some people would call that complex, and yet, it's pretty normal as to why you put something into a monitor.

On a smaller deployment, it was probably a couple of months of work. The process was probably only 200 man-hours to get what we needed out of it. It wasn't a huge deal.

The solution doesn't need too much maintenance. It would've just been something that once it was done, the normal staff just go ahead and do the maintenance. That's after the ETL programs are built, and so on. Maintenance is not a big deal. We can pretty much figure everything out. 

Which other solutions did I evaluate?

We compare a few different solutions. Tableau is usually easier for users to get behind as it's a bit simpler to use. It has good visualization.

What other advice do I have?

I'm not sure which version of the solution we are currently using. We've updated it a few times over the years.

I'd advise other users to just to be really clear on what you're trying to accomplish. You've got to make sure it's the right product for what you're trying to do.

I'd rate the solution seven out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Vice President & CIO at a logistics company with 201-500 employees
Real User
Top 20
Good reporting and analytics, scalable, and has responsive support
Pros and Cons
  • "This solution is the most scalable BI platform in the world."
  • "They need to do a better job In its ability to allow end users to produce their own reports, metrics, and self-service business intelligence."

What is our primary use case?

The primary use case of the solution is for management reporting and analytics across many different subject areas.

How has it helped my organization?

It's an information delivery mechanism to pull all of our data into one central tool, allowing us to look at key metrics across the organization.

What is most valuable?

The most valuable features are the scalability and management reporting.

What needs improvement?

They need to do a better job in its ability to allow end-users to produce their own reports, metrics, and self-service business intelligence.

MicroStrategy is a complex tool and you need to have a MicroStrategy architect. 

In the next release, I would like to see better visualization and more service audience or functionality.

For how long have I used the solution?

I have been using MicroStategy for ten years.

They have recently changed the version numbering and they go by years now. We are using version 2019 in the cloud.

What do I think about the stability of the solution?

It's very stable and we have not experienced any issues.

What do I think about the scalability of the solution?

This solution is the most scalable BI platform in the world. There is no other BI platform that is in its class. We have used all of them.

It's used by our analysts, our franchises, and by our executives.

We have 40 users inside the company and 4,000 users outside the company.

We plan to increase the usage of MicroStrategy. We are probably going to go as high as 8,000 users.

How are customer service and technical support?

We don't leverage technical support a lot because we have our technical resources on-site, but if we do call them, they are good at responding.

Which solution did I use previously and why did I switch?

Previously, the main solutions that we used were Tableau, Microsoft Power BI, and Amazon Quick Site.

We were using Oracle OBIEE, which is a Business Intelligence Enterprise. We moved from OBIEE to MicroStrategy.

How was the initial setup?

The set up takes a while, but once it's set up it's an automatic mode.

We hired someone that had the consulting experience and became our permanent team member.

What's my experience with pricing, setup cost, and licensing?

We have the best pricing available, but we can't disclose that information.

What other advice do I have?

We have two ways of using this solution. We have an SSBI, which is self-service intelligence. We also have an enterprise-class, where we publish everything on the web, from tablets to phones, for our end-user base who are franchises.

It is the best for large scale deployments, but you cannot become a MicroStrategy shop without having the right technical resources on the team.

Don't even think about it, if you don't want to spend the money for the right person.

I would rate this solution an eight out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
Manager - Metrics & Analytics at a computer software company with 1,001-5,000 employees
Real User
Top 5
Great storyboarding and storytelling feature with an easy initial setup
Pros and Cons
  • "The initial setup is quite straightforward."
  • "The AI-based features could be further enhanced by the solution."

What is most valuable?

The most valuable features are the AI-based questions.

The storyboarding and storytelling features of Cognos Enterprise are both very good.

The solution offers excellent dashboard creation capabilities. I use this extensively.

The initial setup is quite straightforward.

What needs improvement?

Overall, there aren't any features that are lacking in the product.

The AI-based features could be further enhanced by the solution.

I'd like to see more predictive analytics enhancements in future releases.

For how long have I used the solution?

I've been using this solution for our years now.

What do I think about the stability of the solution?

The solution is very stable. We don't worry about bugs or glitches. It doesn't crash on us at all. It doesn't freeze. It's reliable.

What do I think about the scalability of the solution?

You can scale the solution if you need to. That's not a problem.

At our organization, we have between 150 and 200 people using it at any given time.

How are customer service and technical support?

We've dealt with technical support in the past. We found them to be helpful. We've been satisfied with the service provided.

Which solution did I use previously and why did I switch?

We did use Cognos Express originally. It's built for smaller deployments, and we were on the margins in terms of parameters. In the end, our organization found that it was too small for our needs and we moved up to their Enterprise option.

We also use Phillips and Oracle Business Intelligence as well as Power BI.

How was the initial setup?

The initial setup isn't very complex. It's mostly straightforward. However, due to the setup of our organization and its architecture, we did face a few specific complexities during implementation.

We have seven people who handle the administration as needed.

What about the implementation team?

We had someone who helped us set everything up and provide the required technical training.

What's my experience with pricing, setup cost, and licensing?

We'd like the pricing to be reduced, of course. We'd like to reduce the cost period.

What other advice do I have?

I'm a user, not a vendor or a reseller.

We use the enterprise version of the product.

In terms of BI tools, I'd advise others that this is one of the best. It was easy to use once we had the initial training that is required. The features such as storytelling, AI based sessions, are great. I would recommend it to other companies for sure.

On a scale from one to ten, I'd rate it at an eight.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Buyer's Guide
Oracle OBIEE vs. SAP BusinessObjects Business Intelligence Platform
May 2022
Find out what your peers are saying about Oracle OBIEE vs. SAP BusinessObjects Business Intelligence Platform and other solutions. Updated: May 2022.
609,272 professionals have used our research since 2012.