--- title: MDClone Reviews meta\_title: 'MDClone Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter reviews by the users' company size, role or industry to find out how MDClone works for a business like yours. aggregate\_rating: rating\_value: 4.9 review\_count: 4 scale: '5' date\_modified: '2026-02-26' parent\_category: name: Artificial Intelligence url: https://www.g2.com/categories/artificial-intelligence ---

# MDClone Reviews & Product Details

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###### Profile Status

This profile is currently managed by MDClone but has limited features.  
  
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MDClone offers an innovative, self-service data analytics environment powering exploration, discovery, and collaboration throughout the healthcare ecosystems, cross-institutionally, and globally. The powerful underlying infrastructure of the MDClone ADAMS Platform allows users to overcome common barriers in healthcare in order to organize, access, and protect the privacy of patient data while accelerating research, improving operations and quality, and driving innovation to deliver better patient outcomes. Founded in Israel in 2016, MDClone serves major health systems, payers, and life science customers in the United States, Canada, and Israel. For more information, visit mdclone.com.

* * *

Seller
[MDClone](https://www.g2.com/sellers/mdclone)
Discussions
[MDClone Community](https://www.g2.com/products/mdclone/discuss)
Languages Supported

English, Hebrew

Overview by
Erin Giegling

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## Top-Rated Alternatives

[

 ![IBM watsonx.ai](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "IBM watsonx.ai")

IBM watsonx.ai

4.4/5(153)

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[

 ![Tonic.ai](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tonic.ai")

Tonic.ai

4.2/5(38)

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[

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K2View

4.6/5(55)

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[
View All Alternatives
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 ![Patrick Ryan S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Patrick Ryan S.")
PS

Patrick Ryan S.

Notary Public

Legal Services

Small-Business (50 or fewer emp.)

2/25/2026

"A Faster, Safer Way to Explore Healthcare Data"

4.5/5

What do you like best about MDClone?

What I like best about MDClone is how effortlessly it transforms complex healthcare data into something usable, safe, and instantly actionable. The synthetic data capability is a game‑changer — it lets teams explore, analyze, and innovate without the privacy barriers that usually slow everything down. Being able to work with high‑quality, de‑identified data while still preserving statistical accuracy makes research and operational improvement so much faster. Review collected by and hosted on G2.com.

What do you dislike about MDClone?

What I dislike about MDClone is that some of the more advanced features can feel a bit overwhelming at first, especially for users who aren’t as familiar with data workflows. The platform is powerful, but that also means there’s a learning curve when you’re trying to build more complex queries or navigate deeper analytical options. Review collected by and hosted on G2.com.

What problems is MDClone solving and how is that benefiting you?

MDClone solves the core challenges of accessing, protecting, and working with healthcare data by giving teams a safe, flexible, and self‑service way to explore information without long delays or privacy barriers. The synthetic data capability is especially valuable — it removes the bottleneck of waiting for approvals or worrying about PHI, while still providing high‑quality, statistically accurate datasets for analysis. Review collected by and hosted on G2.com.

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Current UserValidated ReviewerSource: Organic

 ![Bruno A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bruno A.")
BA

Bruno A.

Gerente Comercial de Loja

Small-Business (50 or fewer emp.)

8/12/2024

"A platform focused on the Health Area"

5/5

What do you like best about MDClone?

It is the creation of synthetic data from the real data of patients, with easy implementation and ease of integration with other ERPs. Review collected by and hosted on G2.com.

What do you dislike about MDClone?

At this moment, I have nothing to declare. Review collected by and hosted on G2.com.

What problems is MDClone solving and how is that benefiting you?

The platform allows for the analysis of large volumes of data efficiently, making life easier for scientists, doctors, and its users. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 inviteAI Translated

BG

Ben G.

Chief medical information officer - CMIO

Enterprise (\> 1000 emp.)

5/25/2021

"Democratizing medical data"

5/5

What do you like best about MDClone?

At our institution, before we implemented MDClone, researchers and other consumers of clinical data were dependent on mediators with technical expertise and access to various databases. This created a bottleneck that limited the speed and flexibility of projects dependent on data. Obtaining IRB approval also delayed many projects.

With MDClone, any end user can access clinical data according to permissions. Even before obtaining IRB approval reseachers can access synthetic data, which is statistically almost identical to the original data. This early access allows users to assess the feasibility of their proposed project by understanding both the availability and quantity of the desired data. In many cases users can perform analyses and reach insights based on synthetic data alone. (Synthetic data can also be shared freely outside our organizationn). When original data is required and IRB approval is obtained, researchers work efficiently by re-running the queries built previously. All of this is done independently, without the need for mediators.

The improvement in efficiency and flexibility can be compared to writing an email as opposed to sending a letter by post. Review collected by and hosted on G2.com.

What do you dislike about MDClone?

MDClone is a powerful tool that enables end-users to access the data they need. But some training is required, and proficiency is gained through experience. I see this as inevitable and not a drawback of the system itself, but the effort required by the end-user is not negligible. Obviously more complex queries will require more effort. Review collected by and hosted on G2.com.

What problems is MDClone solving and how is that benefiting you?

We have used MDClone primarily for clinical research but are beginning to explore additional purposes like quality improvement, operational management, and population health. Review collected by and hosted on G2.com.

Show More

Validated ReviewerSource: Organic

 ![D O.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "D O.")
DO

D O.

Clinical Assistant Professor

Small-Business (50 or fewer emp.)

6/17/2021

"A unique way to access important health data"

5/5

What do you like best about MDClone?

Electronic medical records store data that can answer many questions. Mdclone gives access to this data with relative ease.

Seeing big data from your institution helps formulate hypotheses that can be researched. Review collected by and hosted on G2.com.

What do you dislike about MDClone?

There are still missing data points. The initial learning curve is steep. Review collected by and hosted on G2.com.

What problems is MDClone solving and how is that benefiting you?

I can independently use all hospital records as a database. Review collected by and hosted on G2.com.

Show More

Validated ReviewerIncentivizedSource: G2 invite

### There are not enough reviews of MDClone for G2 to provide buying insight. Below are some alternatives with more reviews:

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1

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IBM watsonx.ai

4.4

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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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2

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4.2

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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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3

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4

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CA Test Data Manager

4.0

 (21) 

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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5

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YData

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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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6

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Tumult Analytics

4.4

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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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7

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 (11) 

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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8

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MOSTLY AI Synthetic Data Platform

4.5

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MOSTLY GENERATE is an enterprise-grade Synthetic Data Platform that preserves significantly more information and data value than any other data anonymization technique on the market. It enables you to overcome the barriers to AI and Big Data adoption. All while securely protecting your customers’ privacy.

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9

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4.1

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Statice allows you to freely work with your customers data by securely anonymizing it. This protects your customers and opens up new data-driven opportunities.

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10

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4.6

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[Show More](#)

##### Pricing

Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.

[
View More Pricing Information
](https://www.g2.com/products/mdclone/pricing)

##### Categories on G2

[Synthetic Data](https://www.g2.com/categories/synthetic-data)

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