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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Spotfire Data Science
Score 8.7 out of 10
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Spotfire Data Science (formerly TIBCO Data Science) is a comprehensive platform for operationalizing data science, allowing users to scale data science across an organization to solve complex challenges faster and speed innovation. It is designed to enable data scientists to create innovative solutions using the latest machine learning techniques and open source developments. Create ML pipelines using a point-and-click UI or code. Orchestrate analytics using the tools, languages, and any…
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Pricing
Jaspersoft
Spotfire Data Science
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Jaspersoft
Spotfire Data Science
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Jaspersoft offers flexible pricing for ISVs and SaaS per customer or by CPU core.
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 have an analytics department, Data Science is perfect for making analyses quicker. Data Science works well for web querying, automating analyses, sharing advanced analyses with others, and performing lots of other advanced analytical processes. Data Science is not a good fit if the analytics you do is stuff that Excel can do. The software is powerful, with lots of features, and unless you actually plan on using those features, it's not worth paying for.
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.
It has a great user interface, easy to navigate and learn on the fly.
There are lots of great options for data organization and analysis! Makes it a handy tool for presentations as well.
A collaborative ability is highly valued for my company where we often work from home or on site. Being able to share the data with those in the office so multiple people can look at it is a great tool!
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.
Unfortunately, some functionality is hidden per upgrade to other versions. Feel data mining functionality would be useful, but not budget for software. At the current price point, would have expected more (such as Mathematica breadth of functionality for one price).
It is light on optimization capability.
Slow when considering very large datasets, performing things such as distribution identification
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
The company is hesitant to spend this much on software. They are primarily an engineering firm, and they don't understand the use of analytical software for environmental professionals.
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.
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).
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.
I prefer Spotfire Data Science's approach. It is more natural and fits the way I think. I prefer to use Spotfire Data Science's VB for writing macros. It is real code, meaning that I do not need to trick the software to do what I need and there are no implied loops over solving simple problems. The graphs are publication quality and can be edited by hand or using a macro if I am building hundreds of them. Spotfire Data Science had a user-friendly approach to building lengthy data processing streams (in its workspaces). It is just so fast for analyzing a dataset that you have never seen before and efficient for ongoing work on the same data.
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.
Our company has had the program for less than 1 year. We don't expected a positive return this year. The goal is for Data Science to led to defined projects by the end of the end of the year and implementation in the following two. Overall, we are planning on 4 years to fully recoup the cost of the software and the cost of implementing identified projects.
