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Gretel.ai vs Tonic.ai comparison

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

Gretel.ai
Ranking in AI Synthetic Data
4th
Average Rating
8.0
Reviews Sentiment
3.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Tonic.ai
Ranking in AI Synthetic Data
2nd
Average Rating
0.0
Reviews Sentiment
7.5
Number of Reviews
0
Ranking in other categories
Data Masking (30th), AI Software Development (83rd)
 

Mindshare comparison

As of August 2026, in the AI Synthetic Data category, the mindshare of Gretel.ai is 6.9%, down from 11.7% compared to the previous year. The mindshare of Tonic.ai is 13.5%, up from 12.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Synthetic Data Mindshare Distribution
ProductMindshare (%)
Tonic.ai13.5%
Gretel.ai6.9%
Other79.6%
AI Synthetic Data
 

Featured Reviews

Gouthami  - PeerSpot reviewer
senior software engineer at a tech vendor with 10,001+ employees
Synthetic test data has accelerated compliant development and reduces manual masking work
In my opinion, the best features that Gretel.ai offers are faster performance, better accuracy, and lower computing costs. When I mention better accuracy and performance, I refer to improved model accuracy. Whatever data we are getting has rare scenarios. Gretel.ai can detect those scenarios and generate more examples for training, which reduces manual effort from that perspective, meaning it has better model accuracy and performance. Besides that, I want to add that it has better testing and is faster. Compliance with regulatory actions is also a benefit because data sharing is advantageous. Since using Gretel.ai, the positive impact on my organization includes a reduction in manual effort and infrastructural cost in training the AI model due to compliance issues, resulting in faster development and reduced waiting time.
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Top Industries

By visitors reading reviews
Construction Company
36%
Transportation Company
10%
Comms Service Provider
9%
Financial Services Firm
8%
Computer Software Company
19%
Construction Company
17%
Financial Services Firm
10%
Comms Service Provider
9%
 

Company Size

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

Questions from the Community

What needs improvement with Gretel.ai?
Gretel.ai might need to enhance security purposes and provide better explainability on the use cases we are developing, including the addition of domain-specific templates and risk metrics. Regardi...
What is your primary use case for Gretel.ai?
My main use case for Gretel.ai is data generation and dataset generation. Additionally, my main use case with Gretel.ai involves a production database that contains millions of data points. We need...
What advice do you have for others considering Gretel.ai?
Gretel.ai is not for everyone. If you are handling sensitive data that can be used for AI and ML models, that is where you can use it. QA teams struggle with frequent data sharing with external ven...
What is your experience regarding pricing and costs for Tonic.ai?
Pricing is a little expensive for larger datasets, requiring some premium cost for datasets with a million-plus records. Multiple QA and UAT teams need different environments, which becomes more co...
What needs improvement with Tonic.ai?
There are areas where we can definitely improve Tonic.ai overall. It meets our requirements, but for very large databases, masking and synthetic data generation can take longer than expected. The i...
What is your primary use case for Tonic.ai?
In our project, developers frequently need production-like data to reproduce complex bugs and perform integration testing, and Tonic.ai generates a sanitized dataset while maintaining referential i...
 

Comparisons

 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Information Not Available
UnitedHealth Group, Texas Capital Bank, Avant, Philips, Walgreens, CVSHealth, Cigna, Volvo, eBay, Cityblock, Migros, the NHL