Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.
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Jaspersoft
Score 6.0 out of 10
N/A
Jaspersoft commercial edition is an embedded business intelligence suite designed to be built-into SaaS products as an integrated reporting engine. It provides reports and dashboards for customer-facing applications without requiring app developers to build their own reporting engine.
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OpenText Magellan
Score 9.0 out of 10
N/A
OpenText Magellan Analytics Suite leverages a comprehensive set of data analytics software to identify patterns, relationships and trends through data visualizations and interactive dashboards.
We were using Actuate e-reporting. The product suited our needs but the vendor was difficult to work with as far as licensing and contract issues. Also relatively much more expensive. We didn't actually even evaluate BIRT as a replacement due to the poor relationship. So I …
The breadth of features and functionality, Ease of access to a vast community of users for support. The key factor after comparing features and functionality was price. The Jaspersoft suite is hands down the best value bay a large margin..
OpenText Magellan
No answer on this topic
Features
IBM watsonx.ai
Jaspersoft
OpenText Magellan
AI Development
Comparison of AI Development features of Product A and Product B
IBM watsonx.ai
5.5
1 Ratings
24% below category average
Jaspersoft
-
Ratings
OpenText Magellan
-
Ratings
Machine learning frameworks
5.51 Ratings
00 Ratings
00 Ratings
Data management
4.51 Ratings
00 Ratings
00 Ratings
Data monitoring and version control
4.51 Ratings
00 Ratings
00 Ratings
Automated model training
4.51 Ratings
00 Ratings
00 Ratings
Managed scaling
6.41 Ratings
00 Ratings
00 Ratings
Model deployment
6.41 Ratings
00 Ratings
00 Ratings
Security and compliance
6.41 Ratings
00 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM watsonx.ai
-
Ratings
Jaspersoft
7.6
100 Ratings
7% below category average
OpenText Magellan
7.0
2 Ratings
16% below category average
Pixel Perfect reports
00 Ratings
7.687 Ratings
00 Ratings
Customizable dashboards
00 Ratings
7.588 Ratings
7.02 Ratings
Report Formatting Templates
00 Ratings
7.886 Ratings
7.01 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM watsonx.ai
-
Ratings
Jaspersoft
7.4
98 Ratings
8% below category average
OpenText Magellan
8.3
3 Ratings
3% above category average
Drill-down analysis
00 Ratings
7.289 Ratings
8.03 Ratings
Formatting capabilities
00 Ratings
7.397 Ratings
8.03 Ratings
Report sharing and collaboration
00 Ratings
7.781 Ratings
8.02 Ratings
Integration with R or other statistical packages
00 Ratings
00 Ratings
9.01 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM watsonx.ai
-
Ratings
Jaspersoft
7.7
101 Ratings
7% below category average
OpenText Magellan
8.3
2 Ratings
1% above category average
Publish to Web
00 Ratings
7.176 Ratings
8.02 Ratings
Publish to PDF
00 Ratings
8.799 Ratings
8.02 Ratings
Report Versioning
00 Ratings
7.759 Ratings
9.02 Ratings
Report Delivery Scheduling
00 Ratings
7.582 Ratings
8.02 Ratings
Delivery to Remote Servers
00 Ratings
7.562 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
I have built a code accelerator tool for one of the IBM product implementation. Although there was a heavy lifting at the start to train the model on specifics of the packaged solution library and ways of working; the efficacy of the model is astounding. Having said that, watsonx.ai is very well suited for customer service automation, healthcare data analytics, financial fraud detection, and sentiment analysis kind of projects. The Watsonx.ai look and feel is little confusing but I understand over a period of time , it will improve dramatically as well. I do feel that Watsonx.ai has certain limitations from cross-platform deployment flexibility. If an organization is deeply invested in a multi-cloud environment, Watson's integration on other cloud platforms may not be seamless comported to other AI platforms.
It is well suited for the fact of scalability itself and the breadth of features this application has in order to make the migration from legacy systems to the newer different versions more seamless and effective. Data integrity and security are the main aspects of this tool which does not lose their value when doing day-to-day operations for data mapping.
If you do not have a large budget and are a large organization, I would steer clear of Actuate. If you are looking to do very complex washboarding, I would not use them. Your developers have to be very skilled to work with this. Plan to bring in consultants if necessary to help your process. Adhoc reporting is weak. If your pricing is user based and you expand, this could be very expensive.
TIBCO Jaspersoft allows you to embed reports into your own application, which gives users the feeling they are using a single product.
TIBCO Jaspersoft Studio allows for more advanced report development, such as adding subreports, drilldown to detail reports, images, page headers, page footers, maps, and more.
TIBCO's Jaspersoft Domain Designer is very easy to use and navigate.
One of the issues we found during our implementation was that the reporting software would work faster for certain data sources and not the others. Extracting CSVs and XML was slower in comparison to JSON in our experience.
Jaspersoft Studio was the main IDE we used for development. Built atop the Eclipse IDE, we found that the tool was really resource intensive and generally take long time to initialize.
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
JasperSoft has been amazing. It is well documented, fast, and transparent in how it functions. We have been very confident in JasperSoft in every aspect of our business and offerings where we've used it. On top of that, their improvements to the product have been fantastic. I am really looking forward to seeing where they take their product and how we can leverage that to please our clients
I am no longer working for the company that was using Actuate but I believe they would continue to use it because the stitching costs would be to high. It would require a complete rewrite of the reports and the never version of Actuate (BIRT) even required an almost complete report rewrite
I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
I think it's a tool well suited for a software developer. Others with less coding skills could struggle somewhat with the tool. I find java a little unforgiving as a language for expressions and not very user friendly for the technically dis-inclined. Sometimes the numeric conversions cause issues (who knew that 0 and 0.0 would cause different things to happen). Previous experience with a reporting tool that used visual basic for its' expressions that I found much simpler to use. On the other hand, java is so widespread, you can easily google the syntax to accomplish what you need to do.
It is quite intuitive to use. It is fit specifically for doing sentiment, emotion, and intention analysis as well as text classification and text summarization. I would have given 10 if it is fit for the purpose of doing image processing and analysis as well. There is a huge market to analyze video and image data.
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
They have a great customer support ticketing system in which they always respond same-day. They offer conference calls with srcreensharing as well in order to better understand your issues.
I wish that the lower level support access came with more than just 12 cases per year though as this makes us less likely to reach out for questions on things that we then instead try to solve ourselves which results in loss of time in trying to acquire new features and or solve a problem.
It did the job of getting us to our deadline we set for ourselves for initial launch. The customer we launched the product for was also there to learn about it at the same in order to better understand the capabilities. This helped greatly so that the customer was on the same page on what was possible when using jaspersoft. I think most people would not want their customers aware the product they are using is third-party but in this case it was a new experience for us both and so as we learned more about jaspersoft, we both had better communication on what the future road map was for their business needs in BI.
Resources available in the TIBCO Knowledge Base are covering almost everything. They are well organized, and covering almost every possibility. There is always the change to get back to the TIBCO support or to the dedicated Customer Success Manager whenever something very specific or bound to a customization is not covered.
Having just completed an upgrade to the latest version of Jaspersoft, I am happy to say their support was very good. There were a couple of small challenges which were not easily resolved, but they were primarily related to the fact that we had skipped updates for a couple of versions. The current update procedures assumed we were upgrading from the prior latest version (6.4) to to the new version (7.1).
IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind this project continues to grow and prosper.
When looking at the different features of these reporting engines, and what we were going to be using it for, the answer seemed clear. Jasper offered exactly what we were looking for, and did so for a price that we were happy with. For a scalable, feature-rich reporting engine that doesn't break the bank, Jaspersoft is the way to go.
It is vastly superior to these in many ways, for complex reporting it is a much more sophisticated solution. Visualizations are very good. Javascript extensibility is very powerful, others don't support this or as well. Pentaho and MS are both OLAP oriented. Pentaho is moving more toward big data, which was not our primary focus. Others are stuck in the Crystal Reports Band metaphor.
I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
When we demo our Jaspersoft environment to potential clients, their eyes light up and they sit up in their chairs a bit more. A lot of our meetings have ended with with the client very interested in our product due to Jaspersoft.
Our existing clients have been very satisfied with the adhoc features of Jaspersoft. We've been able to provide them better access to their data on their terms instead of ours. Of course this turns into a huge win for us.
We've always used SQL Server Reporting Services to deliver our reports to our clients. Converting to Jaspersoft has allowed us to generate the reporting layer that our clients demand. They no longer feel like they are settling for what we offer.
Actuate can handle 50 to 60 sub reports inside a report very well.
Dynamically creating the datasource, chart, graph, reports are the main advantages. We can do any level of drilling, and can create a performance matrix dashboard efficiently.