# Best Synthetic Data Tools for Medium-Sized Businesses

## How Many Synthetic Data Tools Products Does G2 Track?

**Total Products under this Category:** 82

### Category Stats (Aug 2026)

- **Average Rating:** 4.38/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** K2View (+0.24%) - Among all products in this category, K2View recorded the largest rating increase compared to last month

_Last updated: August 07, 2026_

## How Does G2 Rank Synthetic Data Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 500+ Authentic Reviews
- 82+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

## G2 Grid® for Synthetic Data Tools
 ![G2 Grid® for Synthetic Data Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/synthetic-data/grids.png?focus%5B%5D=127779&focus%5B%5D=161807&focus%5B%5D=160313)

Highlighted products: Tonic.ai, Gretel.ai, and Tumult Analytics.

Underlying data: [Grid® JSON](https://www.g2.com/categories/synthetic-data/grids.json?focus%5B%5D=tonic-ai&focus%5B%5D=gretel-ai&focus%5B%5D=tumult-analytics&segment=mid-market)

**Sponsored**

### Gemini

Gemini is a family of multimodal, generative AI models. These models were developed by Google DeepMind and Google Research. They are designed to understand, operate across, and combine different types of information. This includes text, images, audio, video, and code. Gemini serves as a versatile, everyday AI assistant and powers a conversational chatbot. Key Product Features & Capabilities Multimodal Understanding: Gemini understands and combines text, images, audio, video, and code. It can analyze complex documents, code repositories, and long videos. Conversational AI: Gemini allows for natural conversations. It functions as an intelligent assistant that can brainstorm, plan, and discuss topics. Deep Research & Analysis: Gemini can analyze websites and user files to generate reports. It can also create audio overviews of the information. Agentic Capabilities: Users can create custom "Gems" (specialized AI experts). The models can act as agents to take actions in tools like Chrome. Integrated Productivity: Gemini is integrated into Gmail, Google Docs, Drive, and Meet. This helps summarize, write, edit, and organize information. Creative Tools: Features include image generation and video creation, enabling the generation of 8-second videos with sound. Long Context Window: High-end models feature up to a 1 million-token context window. This is capable of analyzing large amounts of data.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2433&secure%5Bchosen_at%5D=2026-08-15T13%3A15%3A01Z&secure%5Bdisplayable_resource_id%5D=2433&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2433&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1332376&secure%5Bresource_id%5D=2433&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fsynthetic-data%2Fmid-market&secure%5Btoken%5D=b40501e6a1ede2e885393c3c23a8ddb35b27b085a07db24f2006cfa9a8e16fec&secure%5Burl%5D=https%3A%2F%2Fdocs.cloud.google.com%2Fgemini-enterprise-agent-platform%2Fmodels%2Fgoogle-models%2F%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%25epid%21-%25ecid%21-gemini%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [Tonic.ai](https://www.g2.com/products/tonic-ai/reviews)

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. Founded in 2018, with offices in San Francisco, Atlanta, New York, and London, the company is pioneering enterprise tools for data synthesis and de-identification in pursuit of its mission to unblock innovation with usable data. Thousands of developers use data generated with the Tonic.ai platform on a daily basis to build products and train models faster in industries as wide ranging as healthcare, financial services, insurance, logistics, edtech, and e-commerce. Working with customers like Comcast, eBay, UnitedHealthcare, and Fidelity Investments, Tonic.ai builds developer solutions to advance its goals of advocating for the privacy of individuals while enabling companies to do their best work. Be free to build with high-fidelity synthetic data for software and AI development.

**Average Rating:** 4.2/5.0

**Total Reviews:** 38

#### Who Is the Company Behind Tonic.ai?

- **Seller:** [Tonic.ai](https://www.g2.com/sellers/tonic-ai)
- **Year Founded:** 2018
- **HQ Location:** San Francisco, California
- **Twitter:** @tonicfakedata  
698 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=37f7574472c5ef652000379b35295af9c67e86a59000aa1a99ab5e8551fd955f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F18621512&secure%5Burl_type%5D=linkedin_company_website)  
104 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 45% Medium, 32% Small

#### What Are Recent G2 Reviews of Tonic.ai?

**["Reliable anonymisation of unstructured text without losing context"](https://www.g2.com/survey_responses/tonic-ai-review-12025321)**

**Rating:** 4.5/5.0 stars

_— Ankit S._

[Read full review](https://www.g2.com/survey_responses/tonic-ai-review-12025321)

**["Exceptional Test Data Generation for Safe, Realistic Debugging"](https://www.g2.com/survey_responses/tonic-ai-review-11913479)**

**Rating:** 5.0/5.0 stars

_— Verified User in Financial Services_

[Read full review](https://www.g2.com/survey_responses/tonic-ai-review-11913479)

### [Gretel.ai](https://www.g2.com/products/gretel-ai/reviews)

Our mission is to enable developers to safely and quickly experiment, collaborate, and build with data.

**Average Rating:** 4.4/5.0

**Total Reviews:** 13

#### Who Is the Company Behind Gretel.ai?

- **Seller:** [Gretel.ai](https://www.g2.com/sellers/gretel-ai)
- **Year Founded:** 2020
- **HQ Location:** Palo Alto, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=36c47b01619742da49f7420a6371b4e7ca8b151137ef3f30b222b3e22570f149&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F51732380&secure%5Burl_type%5D=linkedin_company_website)  
40 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 77% Medium, 23% Small

#### What Are Recent G2 Reviews of Gretel.ai?

**["Helps me most when I have to mask my sensitive info but still convey the gist"](https://www.g2.com/survey_responses/gretel-ai-review-10008219)**

**Rating:** 4.0/5.0 stars

_— Monica B._

[Read full review](https://www.g2.com/survey_responses/gretel-ai-review-10008219)

**["Amazing platform to use and generate AI data set for AI module"](https://www.g2.com/survey_responses/gretel-ai-review-9983552)**

**Rating:** 5.0/5.0 stars

_— Antonietta C._

[Read full review](https://www.g2.com/survey_responses/gretel-ai-review-9983552)

### [Tumult Analytics](https://www.g2.com/products/tumult-analytics/reviews)

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.

**Average Rating:** 4.4/5.0

**Total Reviews:** 38

#### Who Is the Company Behind Tumult Analytics?

- **Seller:** [Tumult Labs, Inc.](https://www.g2.com/sellers/tumult-labs-inc)
- **Year Founded:** 2019
- **HQ Location:** Durham
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=82b33861a6440e7a81538c24e0f6029768bdd3af543f5f5a0f1577f069ab29f0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftmltlabs&secure%5Burl_type%5D=linkedin_company_website)  
3 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 50% Small, 32% Medium

#### What Are Recent G2 Reviews of Tumult Analytics?

**["A Friendly and Highly Secure platform"](https://www.g2.com/survey_responses/tumult-analytics-review-10303460)**

**Rating:** 5.0/5.0 stars

_— Swathi K._

[Read full review](https://www.g2.com/survey_responses/tumult-analytics-review-10303460)

**["Aggregating Statistics made easy with privacy and prod ready framework"](https://www.g2.com/survey_responses/tumult-analytics-review-11461269)**

**Rating:** 5.0/5.0 stars

_— Jai A._

[Read full review](https://www.g2.com/survey_responses/tumult-analytics-review-11461269)

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