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Best Synthetic Data Tools with Structured Data Capabilities

Below are the top-rated Synthetic Data Tools with Structured Data capabilities, as verified by G2’s Research team. Real users have identified Structured Data as an important function of Synthetic Data Tools. Compare different products that offer this feature so you can decide which is best for your business needs.
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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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21 Listings in Synthetic Data Available
(123)4.4 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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 powerful studio spanning the AI

    Users
    • Consultant
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    67
    Model Variety
    25
    Features
    20
    AI Integration
    19
    Easy Integrations
    19
    Cons
    Improvement Needed
    17
    Expensive
    15
    Complexity
    13
    Difficult Learning
    13
    UX Improvement
    12
  • Seller Details
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  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,950 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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 powerful studio spanning the AI

Users
  • Consultant
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Small-Business
  • 33% Enterprise
IBM watsonx.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
67
Model Variety
25
Features
20
AI Integration
19
Easy Integrations
19
Cons
Improvement Needed
17
Expensive
15
Complexity
13
Difficult Learning
13
UX Improvement
12
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    YData helps data science teams build better datasets for AI

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 25% Small-Business
  • Seller Details
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  • Seller Details
    Seller
    YData
    Year Founded
    2019
    HQ Location
    Seattle, WA
    Twitter
    @YData_ai
    696 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

YData helps data science teams build better datasets for AI

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 25% Small-Business
Seller Details
Seller
YData
Year Founded
2019
HQ Location
Seattle, WA
Twitter
@YData_ai
696 Twitter followers
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®

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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CA Test Data Manager uniquely combines elements of data subsetting, masking, synthetic, cloning and on-demand data generation to enable testing teams to meet the agile testing needs of their organizat

    Users
    No information available
    Industries
    • Accounting
    • Banking
    Market Segment
    • 48% Small-Business
    • 33% Enterprise
  • Seller Details
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  • Seller Details
    Seller
    Broadcom
    Year Founded
    1991
    HQ Location
    San Jose, CA
    Twitter
    @broadcom
    61,734 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    56,584 employees on LinkedIn®
    Ownership
    NASDAQ: CA
Product Description
How are these determined?Information
This description is provided by the seller.

CA Test Data Manager uniquely combines elements of data subsetting, masking, synthetic, cloning and on-demand data generation to enable testing teams to meet the agile testing needs of their organizat

Users
No information available
Industries
  • Accounting
  • Banking
Market Segment
  • 48% Small-Business
  • 33% Enterprise
Seller Details
Seller
Broadcom
Year Founded
1991
HQ Location
San Jose, CA
Twitter
@broadcom
61,734 Twitter followers
LinkedIn® Page
www.linkedin.com
56,584 employees on LinkedIn®
Ownership
NASDAQ: CA
(37)4.2 out of 5
Optimized for quick response
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tonic.ai frees developers to build with safe, high-fidelity synthetic data to accelerate software and AI innovation while protecting data privacy. Through industry-leading solutions for data synthesis

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 43% Mid-Market
    • 32% Small-Business
  • Seller Details
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  • Seller Details
    Seller
    Tonic.ai
    Company Website
    Year Founded
    2018
    HQ Location
    San Francisco, California
    Twitter
    @tonicfakedata
    713 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    103 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tonic.ai frees developers to build with safe, high-fidelity synthetic data to accelerate software and AI innovation while protecting data privacy. Through industry-leading solutions for data synthesis

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 43% Mid-Market
  • 32% Small-Business
Seller Details
Seller
Tonic.ai
Company Website
Year Founded
2018
HQ Location
San Francisco, California
Twitter
@tonicfakedata
713 Twitter followers
LinkedIn® Page
www.linkedin.com
103 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The MOSTLY AI synthetic data platform is the leading synthetic data generator globally. Its platform enables enterprises across industries to unlock, share, fix and simulate data. Thanks to the advanc

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 53% Small-Business
    • 24% Enterprise
  • Seller Details
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  • Seller Details
    Seller
    MOSTLY AI
    Year Founded
    2017
    HQ Location
    Vienna, Wien
    Twitter
    @mostly_ai
    489 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    51 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The MOSTLY AI synthetic data platform is the leading synthetic data generator globally. Its platform enables enterprises across industries to unlock, share, fix and simulate data. Thanks to the advanc

Users
No information available
Industries
No information available
Market Segment
  • 53% Small-Business
  • 24% Enterprise
Seller Details
Seller
MOSTLY AI
Year Founded
2017
HQ Location
Vienna, Wien
Twitter
@mostly_ai
489 Twitter followers
LinkedIn® Page
www.linkedin.com
51 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Syntho is an Amsterdam-based company revolutionizing the tech industry with AI-generated synthetic data. As the leading provider of synthetic data software, Syntho’s mission is to empower businesses w

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 69% Small-Business
    • 19% Mid-Market
  • Seller Details
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  • Seller Details
    Seller
    Syntho
    Year Founded
    2020
    HQ Location
    Amsterdam, Noord Holland
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Syntho is an Amsterdam-based company revolutionizing the tech industry with AI-generated synthetic data. As the leading provider of synthetic data software, Syntho’s mission is to empower businesses w

Users
No information available
Industries
No information available
Market Segment
  • 69% Small-Business
  • 19% Mid-Market
Seller Details
Seller
Syntho
Year Founded
2020
HQ Location
Amsterdam, Noord Holland
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    GenRocket is the technology leader in synthetic data generation for quality engineering and machine learning use cases. We call it Synthetic Test Data Automation (TDA) and it's the next generation of

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 73% Enterprise
    • 27% Small-Business
  • Seller Details
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  • Seller Details
    Seller
    GenRocket
    Year Founded
    2012
    HQ Location
    Ojai, CA
    Twitter
    @GenRocketINC
    377 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    35 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

GenRocket is the technology leader in synthetic data generation for quality engineering and machine learning use cases. We call it Synthetic Test Data Automation (TDA) and it's the next generation of

Users
No information available
Industries
No information available
Market Segment
  • 73% Enterprise
  • 27% Small-Business
Seller Details
Seller
GenRocket
Year Founded
2012
HQ Location
Ojai, CA
Twitter
@GenRocketINC
377 Twitter followers
LinkedIn® Page
www.linkedin.com
35 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Test Data Generation helps automate and accelerate the creation of test data when copies of production data are incomplete, are unavailable, or cannot guarantee data privacy.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Small-Business
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Test Data Generation Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation
    2
    Ease of Use
    2
    Efficiency Improvement
    1
    Integrations
    1
    Versatile Testing
    1
    Cons
    Integration Issues
    2
    Difficult Learning Curve
    1
    Inaccuracy
    1
    Limited Customization
    1
    Poor Customer Support
    1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    100,080 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,370 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Test Data Generation helps automate and accelerate the creation of test data when copies of production data are incomplete, are unavailable, or cannot guarantee data privacy.

Users
No information available
Industries
No information available
Market Segment
  • 71% Small-Business
  • 29% Mid-Market
Test Data Generation Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation
2
Ease of Use
2
Efficiency Improvement
1
Integrations
1
Versatile Testing
1
Cons
Integration Issues
2
Difficult Learning Curve
1
Inaccuracy
1
Limited Customization
1
Poor Customer Support
1
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
100,080 Twitter followers
LinkedIn® Page
www.linkedin.com
5,370 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    - Identifies PII (Personally Identifiable Information) and PHI (Personal Health Information) in corporate data stores (RDBMS, XML, JSON) - Helps de-identify the data so that accidental leak of PII, a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Small-Business
    • 20% Mid-Market
  • Seller Details
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  • Seller Details
    Seller
    Brudata
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

- Identifies PII (Personally Identifiable Information) and PHI (Personal Health Information) in corporate data stores (RDBMS, XML, JSON) - Helps de-identify the data so that accidental leak of PII, a

Users
No information available
Industries
No information available
Market Segment
  • 80% Small-Business
  • 20% Mid-Market
Seller Details
Seller
Brudata
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Subsalt creates synthetic data that satisfies the anonymized and de-identified data exemptions in major data privacy laws, so valuable data can be shared with internal teams, vendors, and partners wit

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 20% Small-Business
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Subsalt
    Year Founded
    2021
    HQ Location
    Distributed, US
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Subsalt creates synthetic data that satisfies the anonymized and de-identified data exemptions in major data privacy laws, so valuable data can be shared with internal teams, vendors, and partners wit

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 20% Small-Business
Seller Details
Seller
Subsalt
Year Founded
2021
HQ Location
Distributed, US
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DATAMIMIC: Unleash the Power of AI in Model-Based Test Data Generation and Privacy Protection. Specializing in enterprise-grade test data creation and obfuscation, with enhanced handling of complex JS

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Small-Business
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DATAMIMIC Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Management
    4
    Development Efficiency
    1
    Ease of Use
    1
    Easy Integrations
    1
    Efficiency
    1
    Cons
    Data Restrictions
    1
    Difficult Learning
    1
    Expensive
    1
    Integration Issues
    1
    Learning Curve
    1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Hamburg, DE
    Twitter
    @rapiddweller
    9 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DATAMIMIC: Unleash the Power of AI in Model-Based Test Data Generation and Privacy Protection. Specializing in enterprise-grade test data creation and obfuscation, with enhanced handling of complex JS

Users
No information available
Industries
No information available
Market Segment
  • 40% Small-Business
  • 40% Enterprise
DATAMIMIC Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Management
4
Development Efficiency
1
Ease of Use
1
Easy Integrations
1
Efficiency
1
Cons
Data Restrictions
1
Difficult Learning
1
Expensive
1
Integration Issues
1
Learning Curve
1
Seller Details
Year Founded
2019
HQ Location
Hamburg, DE
Twitter
@rapiddweller
9 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MDClone offers an innovative, self-service data analytics environment powering exploration, discovery, and collaboration throughout the healthcare ecosystems, cross-institutionally, and globally. The

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MDClone
    Year Founded
    2015
    HQ Location
    Beer-Sheva, IL
    Twitter
    @MDCloneHQ
    299 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    132 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MDClone offers an innovative, self-service data analytics environment powering exploration, discovery, and collaboration throughout the healthcare ecosystems, cross-institutionally, and globally. The

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
Seller Details
Seller
MDClone
Year Founded
2015
HQ Location
Beer-Sheva, IL
Twitter
@MDCloneHQ
299 Twitter followers
LinkedIn® Page
www.linkedin.com
132 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    syntheticAIdata is your partner in creating synthetic data that enables you to craft diverse datasets effortlessly and at scale. Utilising our solution doesn’t just mean significant cost reductions; i

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
    • 33% Mid-Market
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Copenhagen, DK
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

syntheticAIdata is your partner in creating synthetic data that enables you to craft diverse datasets effortlessly and at scale. Utilising our solution doesn’t just mean significant cost reductions; i

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
  • 33% Mid-Market
Seller Details
Year Founded
2021
HQ Location
Copenhagen, DK
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BENERATOR is a leading solution for generating synthetic data, anonymizing, and obfuscating production data, leveraging a model-driven approach for safe, GDPR-compliant use in development, testing, an

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • BENERATOR Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    1
    Cons
    Complex Setup
    1
    Expensive
    1
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Hamburg, DE
    Twitter
    @rapiddweller
    9 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BENERATOR is a leading solution for generating synthetic data, anonymizing, and obfuscating production data, leveraging a model-driven approach for safe, GDPR-compliant use in development, testing, an

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
BENERATOR Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
1
Cons
Complex Setup
1
Expensive
1
Seller Details
Year Founded
2019
HQ Location
Hamburg, DE
Twitter
@rapiddweller
9 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Data masking and synthetic data generation consistently across any supported databases or systems: Oracle, DB2, PostgreSQL, Microsoft SQL Server, MySQL, MariaDB and many more.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 33% Mid-Market
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DATPROF
    Year Founded
    2003
    HQ Location
    Groningen, NL
    Twitter
    @DATPROF
    168 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Data masking and synthetic data generation consistently across any supported databases or systems: Oracle, DB2, PostgreSQL, Microsoft SQL Server, MySQL, MariaDB and many more.

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 33% Mid-Market
Seller Details
Seller
DATPROF
Year Founded
2003
HQ Location
Groningen, NL
Twitter
@DATPROF
168 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®