TIBCO Data Science (including Team Studio and Statistica) Reviews

29 Ratings
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Score 8.7 out of 100

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Reviews (1-15 of 15)

Thomas Young | TrustRadius Reviewer
January 12, 2020

TIBCO is a tool that finally feels like it was written by a professional analyst

Score 10 out of 10
Vetted Review
Verified User
Review Source
TIBCO Data Science is used by our organization to build advanced analytical forecasting and other predictive models and for simple to understand visualizations. The software is used by the professional analysts exclusively, no other group of professionals employs the software. TIBCO Data Science does data science in an easy-to-use, visually appealing style.
  • TIBCO Data Science does the point-and-click setup of data science better than anyone.
  • TIBCO Data Science does a good job at making suggestions on modeling framework.
  • TIBCO Data Science is for the advanced user. A beginning analyst may find the capabilities of the software overwhelming.
  • TIBCO Data Science's default analytics models are not always the best.
TIBCO Data Science is world-class at building exploratory analyses and for creative analytical tasks. The software does these two things quite well. On the other hand, TIBCO Data Science is not well suited for creating real-time advanced analytical models that are used in a production environment. Other open-source models work better for such productions.
TIBCO Data Science has definitely helped uncover insights. For instance, the 4 default graphics help give a good start to exploratory data analyses. The insights from TIBCO Data Science also make it possible to build advanced time-series forecasting models. The software also made it easier to find insights through clustering and other modeling types.
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Luis Ambrosio | TrustRadius Reviewer
April 11, 2019

Great analytics, machine learning and data science platform

Score 10 out of 10
Vetted Review
Verified User
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TIBCO Data Science is being used across the whole organization. We have a little over 500 active clients who use Data Science on a daily basis to solve numerous business problems. Data Science offers a variety of data analysis and statistical methods that can be put into production with just a few clicks; the competitive advantage and practicality it supports really speeds up the whole process.
  • Machine learning
  • Deployment
  • Security and governance
  • It could also be available in the cloud
  • It could have NLP features like Spotfire
  • Greater built-in node customization options
Well suited for:
  • Research
  • Pharmaceutical
  • Banking and Credit & Risk
  • Logistics, Oil & Gas
  • Pulp & Paper
  • Government
  • Manufacturing
  • Health
  • Chemical and Metal industries

Not so much for the auto-parts industry.
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Anonymous | TrustRadius Reviewer
June 02, 2019

Data Science, the future of predictive analysis!

Score 9 out of 10
Vetted Review
Verified User
Review Source
Data Science is used to figure out the fraud happening in our retail stores. It is used across our department and some other departments too. We usually use another UI application called Eagle to raise alerts for such doubtful transactions, and with Data Science, we can show the alerts and help business people prevent fraud.
  • It can handle huge data sets.
  • It can handle different data sources.
  • It is very quick in calculating things, as compared to almost any other tool.
  • Sometimes it crashes while developing the reports.
  • It should add some more charts like a donut, performance chart, etc.
  • It should be more consumer friendly in connecting to R.
It is well suited if you have large data sets to work on. It helps reports by caching the data so the consumers won't face any delay in opening the report. It also has the ability to use regression models to do predictive analysis, which makes Data Science unique from all other reporting tools.
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Thomas Young | TrustRadius Reviewer
February 04, 2019

Data Science is World-Class, as Long as You Have Ongoing Projects that Need World-Class Analyses

Score 10 out of 10
Vetted Review
Verified User
Review Source
TIBCO Data Science is used across the analytics department to develop data visualizations and perform advanced data analytics. The software offers well-structured ways to scrape data from the web, perform machine learning, implement neural networks, create publication-quality graphics, and other simpler analyses. The advantage of Data Science is that it walks analysts through the analysis process rather than needing to write custom code.
  • Data Science does an awesome job with web scraping. It's the easiest tool out there to scrape web data.
  • The point-and-click process for performing neural networks is awesome.
  • The graphics produced by Data Science are as good or better than most other software tools.
  • Because the software takes a point-and-click approach upfront, creating customization requires more effort than software that starts with coding. It's somewhat like Excel. Excel is great for the things it does, but when it requires VBA coding, another software tool is usually a better fit.
  • If you're looking to create custom graphics outside of what is built in to Data Science, good luck, not easy.
  • Data Science has a moderately sized user base, but nowhere near some of the free software tools. This can be challenging when looking for answers to questions.
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.
I have a couple of examples when TIBCO Data Science was used to help uncover insights. The first is using the neural network section. Data Science was used to compare the results of neural network modeling with decision trees, support vector machines, and other modeling types. The software makes it easy comparing one model to another, and analysts gained insight into which model was best for the task at hand. The second example was using Data Science's web scraping capability. Other software tools require a fair amount of coding to gather and restructure web scraping. In contrast, Data Science's simple interface made finding the data and then visualizing it seamless. It was amazing.
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Abigail Bowden | TrustRadius Reviewer
October 19, 2018

A Sweet Spot between Overwhelming and Underwhelming

Score 8 out of 10
Vetted Review
Verified User
Review Source
We use it to manage data collected during field work for environmental and geophysical purposes. We collect a lot of data with many aspects to it that is easy to mismanage. TIBCO Data Science has been incredibly helpful in organization, analysis, and management of collected data, as well as collaborating with coworkers on the data management and presentation for clients.
  • 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!
  • The visualization aspect of the program can be a little tricky to figure out. It's great to have options but it will take a bit of practice before your figures start looking the way you want (or that's how it was for me).
  • While younger employees like myself may quickly grasp on to the program, the modern interface is difficult for older employees to navigate and get comfortable with. This isn't a problem until you are trying to collaborate with them and things go awry. Perhaps they just need in-depth tutorials to help expedite their learning process.
  • It can be difficult to connect to other databases to import existing data. It's just not an obvious pathway and required some researching before I got the hang of it.
It's well suited for companies who are working long-distance and who have lots of data to organize and present. My company does extensive field work collecting thousands of data points at a time, in many cases, so this is an excellent way to share data collected in the field with those still in the office so that reports can begin before our travels are really finished. It makes the office much more productive!
TIBCO Data Science is less suited for companies with older employees or companies that are generally in one office and not doing distance work. It can be a little tricky for older people to grasp the interface and really utilize the program to its full potential so of course spending more time learning the software than using it effectively isn't a great use of time or money.
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Shelby Bowden | TrustRadius Reviewer
October 12, 2018

TIBCO Data Science is a team builder!

Score 6 out of 10
Vetted Review
Verified User
Review Source
We regularly use TIBCO Data Science as a means to share and develop code that we make and use for our geologic informational systems programs. We are usually working in VBS script or in Python, so TIBCO Data Science is a great tool for multiple people in the lab to work on Python codes.
  • Collaborative interface that allows multiple people to work on the same project
  • Very user friendly
  • Minimum coding
  • Some basic tutorials on coding, such as introduction to Python would be great
  • It would be nice to have a direct output to ArcGIS files
  • An online database of code would be helpful for open sourced products
It is great for working in groups on large projects. I like how you can further organize users into ranks and groupings, which is much more powerful than most other programs. I also like that the userface is very collaborative, which allows greater success in data management. It is a little clunky for small projects or where only a few people are concerned.
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Anonymous | TrustRadius Reviewer
September 04, 2018

Positive experience

Score 7 out of 10
Vetted Review
Verified User
Review Source
Data Science is being used for the more complicated optimization and control improvements. It allows the use of advanced mathematical methods and I don't have to teach graph theory instead.
  • The processing of data and providing flexibility in changing the processing throughout the process.
  • Providing several advanced computational methods in one package.
  • The integration with Spotfire makes the output easier to communicate.
  • The user interface has a strong learning curve.
  • The neutral network and random tree/forest setup uses terminology associated with some specific branches, not always the most broadly used paramtere term.
If you want to try machine learning methods with flexibility of what-if data prep this works well.
Having the program for less than a year, no project has been identified by Data Science and spun off yet.
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Anonymous | TrustRadius Reviewer
September 03, 2018

Data and Science at your Fingertips!

Score 10 out of 10
Vetted Review
Verified User
Review Source
As a student, I utilize Data Science within a learning environment to better my predictive analytic skills.
  • Data Science is very convenient and easy to use. The drag and drop feature makes it a go to software program because of ease of use.
  • Data Science provides a power engine to complete a wide range of computations.
  • Data Science should come with a statistical analysis explanation feature that helps to interpret your results.
  • Data Science should come with a T9-type feature that makes suggestions//recommendations for your next move.
Data Science is a versatile software program that is well suited for many applications. It is easy to use, and can process simple algorithms like linear regression models, to more powerful computations.
Although I have not had the opportunity to employ Data Science within my organization, I can attest to the value it would create by providing insights from any data source.
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Steve Wagner | TrustRadius Reviewer
January 15, 2018

TIBCO Data Science Review

Score 9 out of 10
Vetted Review
Verified User
Review Source
Used by the Supply Chain engineering team, mostly with regression and other methods to show relationships between cost and service parameters within Schneider Electric's (SE) supply chain. Frequently used to create rate formulas based on mileage, load type, region to fill in gaps for missing transportation lane data. Also frequently use 3-D graphs and other sophisticated graphics not available in Excel.
  • The interface is screen based and much easier for teams of non-experts to use. Can, however, directly utilize in scripts and/or programming languages, so best of both worlds.
  • Has an extensive range of statistical methods, as well as extensive statistics around those methods.
  • The interface consistent across all modules.
  • 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
Well suited for regression & related analyses, but lacking on general analytical & simulation functionality. Need to utilize multiple tools.
Utilizing transportation rate data and inventory optimization scenarios to develop generalizations for both transportation rating and inventory placement.
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Sylvain Maurin | TrustRadius Reviewer
March 09, 2018

Data Science in CogS

Score 4 out of 10
Vetted Review
Verified User
Review Source
Whole lab, for quick and dirty stats and where researchers are too lazy to use R.
  • Newbies handly for stats : click and go learning curve.
  • Quick and fast cut and past data in spreadsheets over laptops windows.
  • Good documentation and tutorials for fast and autonomous learning.
  • Student friendly.
  • License cost : Data Science fights again R/RStudio, which are both opensource with strong support.
+ : Desktop fast & friendly tool
- : No 'last implementation' of new stats tests recently peer reviewed : Not really the first tool to use in our research context.
Do not use data-mining tools.
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Anonymous | TrustRadius Reviewer
January 11, 2018

Data Science can save time in exploration of large datasets

Score 8 out of 10
Vetted Review
Verified User
Review Source
At my current company, TIBCO Data Science is being used by at least two senior scientists that are located in different departments. Those senior scientists (including myself) use the software to answer analytical questions about issues related to water quality, toxicology, conservation biology, and other areas in support of our public and private sector clients. At my previous company, I managed several junior staff who were also TIBCO Data Science users for the same types of questions, but the cost of the software is a handicap toward getting more junior users at my current company.
  • It can run batch statistics for multiple parameters and stations with one button click, as long as the data are set up correctly. It is a major time saver.
  • Its graphics are usually much more editable than other statistical software, except for those that need programming.
  • It has a very good "textbook" that gives the ins and outs of each analysis. Other software may use a generic test name without giving the specific references for the formulas that it is based on.
  • Although the graphics can be copied into Word or Excel, the copying and pasting process is buggy. Sometimes I basically have to do a Capture Rectangle of a graphic and paste it as a jpg, rather than having an embedded and editable graphic in my Word document.
  • The dialog boxes for some of the common tests, like multiple regression and ANOVA, use quirky terminology that is not intuitive to new users coming out of grad school with a more updated education. I have been using it for over ten years, and the dialogs have not updated in all of that time.
  • The tests like NMDS and PCA are clunky and difficult to use and get the appropriate outputs, especially compared to specialized software like PRIMER.
It is good for exploring data and producing a large number of similar analyses for groups of stations and parameters. It is also helpful for projects that produce similar graphics each year with just minor data updates because the graphs can be rerun with minimal clicking. It does not work as well for specialized analyses and transparency of certain choices in the parameters that are being chosen in the background.
Data Science has always been a valuable program for examining relationships between data on temporal, geographical, or other bases.
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Anonymous | TrustRadius Reviewer
January 30, 2018

TIBCO Data Science

Score 8 out of 10
Vetted Review
Verified User
Review Source
Our organization uses TIBCO Data Science mainly in our water quality and biological departments. We use this program to help with the massive data sets we produce. This software allows for us to create different ways to present that data.
  • Saves time by calculating things such as median value.
  • Easy to generate diagrams.
  • Easy to import data sets.
  • Saves time because you are able to choose what data you want to use and how you want to display it.
  • I’m still learning everything TIBCO has to offer.
  • My main focus has been mostly on box and our organization uses TIBCO Data Science mainly in our water quality and biological departments. We use this program to help with the massive data sets we produce. This software allows for us to create different ways to present that data.
  • I would like to get into more of the other options available.
If you are dealing with large datasets this product will be helpful. It will save you time and produce quicker results.
We have found trends in water quality using this product.
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Anonymous | TrustRadius Reviewer
November 08, 2017

Mostly Satisfied

Score 7 out of 10
Vetted Review
Verified User
Review Source
Data Science has allowed us to rapidly deploy advanced analytics to support a growing organization, using a team of non-programmers to meet critical business goals and requirements. We have significantly expanded the usage both in breadth and depth, expanding it to new products as well as utilizing other capabilities that were not in the initial scope. The vendor has been excellent in supporting us over this timeframe, both for technical support issues as well as enhancing functionality.
  • Great tool with unique features such as Weight of Evidence (WoE)
  • Analysis of stats
  • Performance features
  • Deeper learning algorithms will be preferable
  • User interface
Drag and drop almost everything. The recommendations feature is awesome and actually builds the visualizations for you, unlike some of the competitors.
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Anonymous | TrustRadius Reviewer
January 12, 2018

Great product, great support team

Score 9 out of 10
Vetted Review
Verified User
Review Source
Used for predictive/prescriptive model development and rapid deployment. Model health monitoring and alerting also included
  • Intuitive, just like spreadsheet
  • Highly interactive
  • Automate a lage number of routines, by click of a button
  • Rapid deployment, documentation, monitoring all built-in
  • Release stability and QA
Data exploration, predictive model development, rapid deployment, enterprise deployment
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Anonymous | TrustRadius Reviewer
March 30, 2017

Good computing software

Score 8 out of 10
Vetted Review
Verified User
Review Source
Data Science is being used to compute data analysis models efficiently that would otherwise take longer than usual. It has a profound processor that it uses the right algorithms to achieve a dependable statistical value.
  • Data modeling
  • Analysis of stats
  • Performance features
  • User interface
  • Speed
It is very good for large piles of data that can be processed at one time and to make nice looking graphs for presentations.
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TIBCO Data Science (including Team Studio and Statistica) Scorecard Summary

Feature Scorecard Summary

Connect to Multiple Data Sources (3)
Extend Existing Data Sources (3)
Automatic Data Format Detection (3)
MDM Integration (3)
Visualization (3)
Interactive Data Analysis (3)
Interactive Data Cleaning and Enrichment (3)
Data Transformations (3)
Data Encryption (3)
Built-in Processors (3)
Multiple Model Development Languages and Tools (3)
Automated Machine Learning (3)
Single platform for multiple model development (3)
Self-Service Model Delivery (3)
Flexible Model Publishing Options (3)
Security, Governance, and Cost Controls (3)

About TIBCO Data Science (including Team Studio and Statistica)

TIBCO® Data Science is presented by the vendor as 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 frameworks of your choice. Then deploy, manage, and govern models across core and distributed data environments to deliver insights and act with confidence.
Categories:  Data Science

TIBCO Data Science (including Team Studio and Statistica) Features

Platform Connectivity Features
Has featureConnect to Multiple Data Sources
Has featureExtend Existing Data Sources
Has featureAutomatic Data Format Detection
Has featureMDM Integration
Data Exploration Features
Has featureVisualization
Has featureInteractive Data Analysis
Data Preparation Features
Has featureInteractive Data Cleaning and Enrichment
Has featureData Transformations
Has featureData Encryption
Has featureBuilt-in Processors
Platform Data Modeling Features
Has featureMultiple Model Development Languages and Tools
Has featureAutomated Machine Learning
Has featureSingle platform for multiple model development
Has featureSelf-Service Model Delivery
Model Deployment Features
Has featureFlexible Model Publishing Options
Has featureSecurity, Governance, and Cost Controls
Additional Features
Has featureEnd-to-End Analytics Platform
Has featureModel Management and Governance
Has featureValidated Analytics (GxP, FDA Compliant)

TIBCO Data Science (including Team Studio and Statistica) Screenshots

TIBCO Data Science (including Team Studio and Statistica) Videos (2)

TIBCO Data Science (including Team Studio and Statistica) Competitors


  • Has featureFree Trial Available?Yes
  • Does not have featureFree or Freemium Version Available?No
  • Does not have featurePremium Consulting/Integration Services Available?No
  • Entry-level set up fee?No

TIBCO Data Science (including Team Studio and Statistica) Support Options

 Free Version
Live Chat
Social Media
Video Tutorials / Webinar

TIBCO Data Science (including Team Studio and Statistica) Technical Details

Deployment Types:On-premise, SaaS
Operating Systems: Windows
Mobile Application:No