Top 10 MOSTLY AI Synthetic Data Platform Alternatives & Competitors

Top 10 Alternatives to MOSTLY AI Synthetic Data Platform Recently Reviewed By G2 Community

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Tonic.ai
By Tonic.ai
4.2/5
(38)
Product Description
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, de-identification, and subsetting, our products enable on-demand access to realistic structured, semi-structured, and unstructured data for software development, testing, and AI model training. The product suite includes: - Tonic Fabricate for AI-powered synthetic data from scratch - Tonic Structural for modern test data management - Tonic Textual for unstructured data redaction and synthesis. Unblock innovation, eliminate collisions in testing, accelerate your engineering velocity, and ship better products, all while safeguarding data privacy.
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, Tonic.ai is:
Better at support
Better at meeting requirements
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

IBM watsonx.ai
By IBM
4.4/5
(135)
Product Description
IBM Watsonx.ai is an advanced AI and machine learning platform designed to accelerate enterprise AI adoption, offering a comprehensive suite of tools for businesses to build, deploy, and scale AI applications. The product is part of IBM's broader Watsonx ecosystem, which aims to democratize AI by providing accessible, powerful solutions tailored for organizations of all sizes and industries.
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, IBM watsonx.ai is:
More usable
Better at support
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

GenRocket
By GenRocket
4.6/5
(11)
Product Description
GenRocket provides hundreds of intelligent data generators and dozens of database formats enabling testers to design and generate any variety of test data they need in any volume. Use GenRocket to maximize test coverage with complete control over generating test data for a variety of use cases, like positive and negative testing, specific boundary conditions and edge cases, data combinations and permutations, testing complex workflows with dynamic data, and new applications that have no data when introduced. It’s easy to integrate GenRocket’s Test Data Automation platform with all test automation tools and frameworks to accelerate the development and delivery of high-quality software in your CI/CD pipeline.
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, GenRocket is:
Better at support
More usable
Better at meeting requirements
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data
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Syntho
By Syntho
4.6/5
(16)
Product Description
Syntho provides deep learning software for generating synthetic data 'twins' which can be used and shared without privacy and GDPR concerns
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, Syntho is:
Better at meeting requirements
More usable
Better at support
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

DATPROF Privacy
By DATPROF
4.5/5
(6)
Product Description
Mask privacy sensitive information and generate synthetic test data to comply with privacy rules and regulations like GDPR, PCI and HIPAA.
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, DATPROF Privacy is:
Better at support
Better at meeting requirements
More usable
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

Tumult Analytics
By Tumult Labs, Inc.
4.4/5
(38)
Product Description
Tumult Analytics is an advanced, open-source Python library designed to facilitate the deployment of differential privacy in data analysis. It enables organizations to generate statistical summaries from sensitive datasets while ensuring individual privacy is maintained. Trusted by institutions such as the U.S. Census Bureau, the Wikimedia Foundation, and the Internal Revenue Service, Tumult Analytics offers a robust and scalable solution for privacy-preserving data analysis. Key Features and Functionality: - Robust and Production-Ready: Developed and maintained by a team of differential privacy experts, Tumult Analytics is built for production environments and has been implemented by major institutions. - Scalable: Operating on Apache Spark, it efficiently processes datasets containing billions of rows, making it suitable for large-scale data analysis tasks. - User-Friendly APIs: The platform provides Python APIs that are familiar to users of Pandas and PySpark, facilitating easy adoption and integration into existing workflows. - Comprehensive Functionality: It supports a wide array of aggregation functions, data transformation operators, and privacy definitions, allowing for flexible and powerful data analysis under multiple privacy models. Primary Value and Problem Solved: Tumult Analytics addresses the critical challenge of extracting valuable insights from sensitive data without compromising individual privacy. By implementing differential privacy, it ensures that the risk of re-identification is minimized, enabling organizations to share and analyze data responsibly. This capability is particularly vital for sectors handling sensitive information, such as public institutions, healthcare, and finance, where maintaining data privacy is both a regulatory requirement and an ethical obligation.
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, Tumult Analytics is:
Better at support
More usable
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

K2View
By K2View
4.4/5
(21)
Product Description
K2View is an end-to-end solution that delivers the data speed and agility the digital world demands, while working seamlessly within the complex technology environments of large enterprises.
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, K2View is:
Better at support
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

YData
By YData
4.6/5
(12)
Product Description
Elevating data and privacy in a world moving towards AI. Great experiences do not need to come at the expense of users'​ privacy and security. Rather, privacy and security can help support great experiences. We provide privacy and synthetic data tools.
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Reviewers say compared to MOSTLY AI Synthetic Data Platform, YData is:
Better at support
Better at meeting requirements
More usable
Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

CA Test Data Manager
By Broadcom
4/5
(21)
Product Description
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 organization. This solution automates one of the most time-consuming and resource-intensive problems in Continuous Delivery: the creating, maintaining and provisioning of the test data needed to rigorously test evolving applications.
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Categories in common with MOSTLY AI Synthetic Data Platform:
Synthetic Data

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