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DataRobot vs TIBCO Statistica comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

DataRobot
Ranking in Predictive Analytics
5th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
AI Development Platforms (15th), AIOps (15th)
TIBCO Statistica
Ranking in Predictive Analytics
7th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
1
Ranking in other categories
Data Science Platforms (23rd)
 

Mindshare comparison

As of September 2025, in the Predictive Analytics category, the mindshare of DataRobot is 8.9%, up from 8.1% compared to the previous year. The mindshare of TIBCO Statistica is 2.5%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics Market Share Distribution
ProductMarket Share (%)
DataRobot8.9%
TIBCO Statistica2.5%
Other88.6%
Predictive Analytics
 

Featured Reviews

SagarYadav - PeerSpot reviewer
Automating model comparison speeds up development and reduces timelines
DataRobot is equipped with a GUI-based approach that simplifies the process of feature engineering and model training. It provides AutoML capabilities, which allow for comparing thousands of models and selecting the best-suited one based on business requirements. By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
reviewer2038860 - PeerSpot reviewer
Provides versatility in analysis and problem-solving
I use TIBCO Statistica for quality control, creating profile control charts, and employing basic statistical tools in production. Some clients prefer advanced options like neural networks and decision trees for more in-depth analysis. TIBCO Statistica helps us meet a range of statistical needs for…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."
"DataRobot can be easy to use."
"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"DataRobot is highly automated, allowing data scientists to build models easily."
"One of the best features of TIBCO Statistica is its block-based solution building."
 

Cons

"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"There are some performance issues."
"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."
"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."
"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."
 

Pricing and Cost Advice

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."
"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
10%
Retailer
8%
University
17%
Educational Organization
17%
Hospitality Company
9%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with DataRobot?
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality.
What is your primary use case for DataRobot?
In our day-to-day use, I utilize DataRobot to speed up our development process through its GUI capability. Once I set up our connection with a back-end data set, whatever the project I work on next...
What advice do you have for others considering DataRobot?
I would recommend DataRobot because if there is something not included in the UI, I have the freedom to use its Python API, which extends the capability for different use cases. Additionally, I wou...
What do you like most about TIBCO Statistica?
One of the best features of TIBCO Statistica is its block-based solution building.
What is your experience regarding pricing and costs for TIBCO Statistica?
TIBCO Statistica offers a basic desktop certificate at a reasonable cost. However, the more advanced options, like network licenses for concurrent users, can become quite expensive. This creates a ...
What needs improvement with TIBCO Statistica?
TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis. I also find the user int...
 

Also Known As

No data available
Quest Statistica, Dell Statistica
 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Danske Bank
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