# Best Data Clean Room Software - Page 2

## How Many Data Clean Room Software Products Does G2 Track?

**Total Products under this Category:** 27

### Category Stats (Aug 2026)

- **Average Rating:** 4.48/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Decentriq (+0.69%) - Among all products in this category, Decentriq recorded the largest rating increase compared to last month

_Last updated: August 11, 2026_

## How Does G2 Rank Data Clean Room Software Products?

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

- 30 Analysts and Data Experts
- 3,900+ Authentic Reviews
- 27+ 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 Data Clean Room Software
 ![G2 Grid® for Data Clean Room Software plotting products by satisfaction and market presence](https://www.g2.com/categories/data-clean-room/grids.png?focus%5B%5D=10938&focus%5B%5D=88125&focus%5B%5D=6073&focus%5B%5D=1213038&focus%5B%5D=18196&focus%5B%5D=1393260&focus%5B%5D=167889&focus%5B%5D=1213041)

Highlighted products: Snowflake, Crossbeam, Google Cloud BigQuery, Amazon Marketing Cloud, AppsFlyer, Adobe Real-Time CDP, Decentriq, and Google Ads Data Hub.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-clean-room/grids.json?focus%5B%5D=snowflake&focus%5B%5D=crossbeam&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=amazon-marketing-cloud&focus%5B%5D=appsflyer&focus%5B%5D=adobe-real-time-cdp&focus%5B%5D=decentriq-decentriq&focus%5B%5D=google-ads-data-hub)

**Sponsored**

### Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

[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=1003803&secure%5Bchosen_at%5D=2026-08-15T06%3A09%3A08Z&secure%5Bdisplayable_resource_id%5D=1003803&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1003803&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=6073&secure%5Bresource_id%5D=1003803&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-clean-room%3Fpage%3D2&secure%5Btoken%5D=59a392518b40a9d4651b7d66ce02e4366160a020a7c3e50abedfd0ccaed70921&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fbigquery%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-bigquery%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [Duality SecurePlus](https://www.g2.com/products/duality-secureplus/reviews)

Duality SecurePlus® enables multiple parties to securely compute on sensitive data while preserving privacy, confidentiality, and regulatory compliance. SecurePlus seamlessly integrates with existing systems so you can set up collaboration projects quickly and at scale. Our applications — including Analytics & Machine Learning, Query, and Collaboration Hub — enable you to run descriptive statistics; train, tune, and deploy AI and ML inference models; and deploy SQL-like queries, all while using encrypted data or models. Securely collaborate with partners in any environment to unlock the value of your data, drive revenue, and amplify efficiency across your organization.

#### Who Is the Company Behind Duality SecurePlus?

- **Seller:** [Duality](https://www.g2.com/sellers/duality)
- **Year Founded:** 2016
- **HQ Location:** Hoboken, US
- **Twitter:** @DualityEngine  
6 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=940209d9225d685c34f3a56d47cd344dc655accedb95cd85f79f88d2f2a40825&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fduality-technologies&secure%5Burl_type%5D=linkedin_company_website)  
51 employees on LinkedIn®

### [Fluid](https://www.g2.com/products/eder-labs-fluid/reviews)

Secure data exchange and collaboration platform enabling organizations to work with sensitive information across teams and partners while maintaining privacy. Provides trusted infrastructure for data partnerships and secure AI initiatives.

#### Who Is the Company Behind Fluid?

- **Seller:** [Eder Labs](https://www.g2.com/sellers/eder-labs)
- **Year Founded:** 2018
- **HQ Location:** Fremont, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=10f8fc8045c6c6be9f796ebca3c9e8c3c973807f0b973623a6694b7a416307f1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Feder-ai&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

### [Helios Secure Data Insight Sharing Platform](https://www.g2.com/products/helios-secure-data-insight-sharing-platform/reviews)

Sharing sensitive data is just too dangerous in today’s risky and regulated environment. It no longer makes sense to share data, when Helios Data lets you and your partners safely and securely share the insights that actually generate value, and at the same time eliminate “data usage risk”! As we say, “Share Insights, Not Data!”

#### Who Is the Company Behind Helios Secure Data Insight Sharing Platform?

- **Seller:** [Helios Data](https://www.g2.com/sellers/helios-data)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [InfoSum](https://www.g2.com/products/infosum/reviews)

InfoSum is powering trust in the data economy with a single vision for the future of data connectivity

**Average Rating:** 5.0/5.0

**Total Reviews:** 1

#### How Do G2 Users Rate InfoSum?

- **Ease of Use:** 10.0/10 (Category avg: 8.8/10)

#### Who Is the Company Behind InfoSum?

- **Seller:** [InfoSum](https://www.g2.com/sellers/infosum)
- **HQ Location:** London, GB
- **Twitter:** @InfoSum  
1,108 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=57ffda2930903441e4e79fe2b1f81338039c0e0a0078caed6aab2c2652497290&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Finfosumhq&secure%5Burl_type%5D=linkedin_company_website)  
75 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Large

#### What Are Recent G2 Reviews of InfoSum?

**["InfoSum review with pros and cons"](https://www.g2.com/survey_responses/infosum-review-5191363)**

**Rating:** 5.0/5.0 stars

_— Kawaljeet Singh C._

[Read full review](https://www.g2.com/survey_responses/infosum-review-5191363)

#### What Are G2 Users Discussing About InfoSum?

- [What is InfoSum used for?](https://www.g2.com/discussions/what-is-infosum-used-for)

### [Linksight](https://www.g2.com/products/linksight/reviews)

Linksight enables easy and secure data collaboration (federated analytics and federated learning) between multiple parties. With our platform, you can perform privacy-friendly analyses on each other’s datasets without sharing sensitive data because the data stays at the source. How? Through advanced privacy technology (secure multiparty computation (MPC), multiple PETs (Privacy Enhancing Technologies) such as secret sharing and fully homomorphic encryption (FHE) combined with our unique configurable collaboration governance rules.

#### Who Is the Company Behind Linksight?

- **Seller:** [Linksight](https://www.g2.com/sellers/linksight)
- **Year Founded:** 2021
- **HQ Location:** utrecht , NL
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8931360d639240815df5559f937b916ba48dce1ea3339c80e9c8e2a8c27573d1&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Flinksight-mpc%2F&secure%5Burl_type%5D=linkedin_company_website)  
10 employees on LinkedIn®

### [MERKURY](https://www.g2.com/products/merkury/reviews)

Merkury enables marketers, media owners, and publishers to own, build, and control a cookie-less Private Identity Graph. Merkury uses an organization’s first-party CRM data and valuable interactions such as logins, outbound email campaigns and media reach to create and grow a universe of person-based IDs for cross-channel targeting, personalization, measurement and more.

#### Who Is the Company Behind MERKURY?

- **Seller:** [Merkle](https://www.g2.com/sellers/merkle)
- **Year Founded:** 1971
- **HQ Location:** Columbia, MD
- **Twitter:** @MerkleCRM  
57 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=508ef3f088aad8d65a708b36f617e9aacfcd2d52f17b831697eb9dc492f62d86&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmerkle%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,622 employees on LinkedIn®

### [Omnisient Data Collaboration Platform](https://www.g2.com/products/omnisient-data-collaboration-platform/reviews)

Omnisient is a Privacy Enhancing Technology and the leading privacy-preserving data collaboration platform in emerging markets. The technology creates a trust-by-design environment for businesses to collaborate on their first-party data securely, quickly, and easily while remaining compliant with consumer data privacy regulations. Clients can use new 1st party data sources to grow financial inclusion, improve the customer experience, and identify new business opportunities for growth.

#### Who Is the Company Behind Omnisient Data Collaboration Platform?

- **Seller:** [Omnisient](https://www.g2.com/sellers/omnisient)
- **Year Founded:** 2019
- **HQ Location:** Dover, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3d071581c3ad68c2f913c74c0d00053e694addf0210b0db30d904f3152f5f11e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fomnisient&secure%5Burl_type%5D=linkedin_company_website)  
52 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Small

#### What Are Recent G2 Reviews of Omnisient Data Collaboration Platform?

**["The best data collaboration platform to grow businesses"](https://www.g2.com/survey_responses/omnisient-data-collaboration-platform-review-8318920)**

**Rating:** 5.0/5.0 stars

_— Aashutosh A._

[Read full review](https://www.g2.com/survey_responses/omnisient-data-collaboration-platform-review-8318920)

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

Opaque Analytics. Process structured data securely using Spark SQL. Run SQL queries, complex analytics, and ETL pipelines on data loaded from encrypted CSV files.

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

- **Seller:** [Opaque](https://www.g2.com/sellers/opaque)
- **Year Founded:** 2021
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9834f1f71a47abbb62c29a35258b94147b4903370e7a4a3578a4c718ae5fa563&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fopaquesystems%2F&secure%5Burl_type%5D=linkedin_company_website)  
51 employees on LinkedIn®

### [Samooha](https://www.g2.com/products/samooha/reviews)

Samooha is a secure data collaboration platform that enables businesses to harness the full potential of their data ecosystems. By providing a low-code, no-code application, Samooha facilitates seamless and privacy-preserving data sharing across various industries, including healthcare, financial services, advertising, media, and entertainment. As a native application on Snowflake, it eliminates the need for data migration by bringing the application directly to the data source, ensuring integrated value within the warehouse and cloud layers. Key Features and Functionality: - Data Clean Rooms : Samooha offers industry-specific templates to support secure analysis within clean rooms, enabling organizations to collaborate without exposing underlying data. - No-Code User Interface: The platform provides a user-friendly interface that allows non-technical users, such as analysts and business operations professionals, to access and build clean room applications without coding expertise. - Cross-Cloud Collaboration: Samooha supports secure, cross-cloud data collaboration, allowing businesses to share and analyze data across different cloud environments without compromising privacy. - Privacy-Preserving Technologies: Leveraging secure and private multiparty computing technologies, Samooha ensures that data collaboration is conducted in a privacy-preserving manner, adhering to governance and compliance standards. Primary Value and Problem Solved: Samooha addresses the challenge of secure and efficient data collaboration in an era where data privacy and compliance are paramount. By providing a platform that enables businesses to collaborate on data without exposing sensitive information, Samooha unlocks new opportunities for data-driven insights and innovation. Its no-code interface democratizes access to data collaboration tools, empowering a broader range of users to participate in data-driven decision-making processes. This approach not only enhances operational efficiency but also fosters a data economy where enterprises can unlock previously untapped value through secure and compliant data sharing.

#### Who Is the Company Behind Samooha?

- **Seller:** [Samooha](https://www.g2.com/sellers/samooha)
- **Year Founded:** 2022
- **HQ Location:** Los Altos Hills, US
- **Twitter:** @samooha\_inc  
174 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9b3cab039f7df73db81ee43da80c0c14e27a36f9f7b00c12007fa497ba9a31d3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsamoohatech%2F&secure%5Burl_type%5D=linkedin_company_website)  
16 employees on LinkedIn®

### [Vendia](https://www.g2.com/products/vendia-vendia/reviews)

Power AI with all your data. Turn your enterprise data, assets, and services into AI-powered outcomes seamlessly and securely. Vendia is the future of collective data intelligence, combining smart APIs, databases, and distributed ledger technology inside a single platform. Vendia’s data platform makes it easy to turn your enterprise data, assets, and services into AI-powered outcomes seamlessly and securely. Companies such as BMW, Delta Airlines, Resolution Life Insurance, and Fannie Mae use Vendia to automate contextual and compliant data flows between any-to-any systems for a harmonized, accurate view of data that unlocks speed, innovation, and cost savings. Learn more about us at Vendia.com.

**Average Rating:** 4.0/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate Vendia?

- **Ease of Admin:** 9.2/10 (Category avg: 8.6/10)
- **Ease of Use:** 8.3/10 (Category avg: 8.8/10)

#### Who Is the Company Behind Vendia?

- **Seller:** [Vendia](https://www.g2.com/sellers/vendia)
- **Year Founded:** 2020
- **HQ Location:** San Francisco, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1ba85e248a5026653802807a51f5213ce579e4f5a790157fd81cf7bb74a3f425&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fvendiahq%2F&secure%5Burl_type%5D=linkedin_company_website)  
89 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Medium, 33% Small

#### What Do G2 Reviewers Say About Vendia?

_AI-generated summary from verified user reviews_

##### Pros

- Users value Vendia for its **feature-rich data management capabilities** , enhancing integration and operational efficiency in organizations.
- Users find Vendia's **ease of use** invaluable for seamless integration in data management solutions within their organizations.
- Users value the **easy integrations** of Vendia, facilitating seamless adoption in organizational systems.
- Users find Vendia's **feature-rich blockchain service** enhances data management, integration, and overall functionality in their organizations.

##### Cons

- Users find Vendia's customer support **lacking** , with only average email assistance and slow responses on large queries.
- Users experience **slow processing** with lag when querying over 10,000 instances, impacting overall efficiency.

#### What Are Recent G2 Reviews of Vendia?

**["Best Data Sharing Platform"](https://www.g2.com/survey_responses/vendia-review-7824737)**

**Rating:** 4.5/5.0 stars

_— Saurabh S._

[Read full review](https://www.g2.com/survey_responses/vendia-review-7824737)

**["Amazing experience using the collaboration tools"](https://www.g2.com/survey_responses/vendia-review-8812043)**

**Rating:** 4.5/5.0 stars

_— Aryan K._

[Read full review](https://www.g2.com/survey_responses/vendia-review-8812043)

### [wehave](https://www.g2.com/products/wehave/reviews)

wehave - Sponsorship Operations, on Autopilot wehave is the all-in-one platform built specifically for sports sponsorship and partnership teams — not a generic CRM or spreadsheet stretched to fit sports. It brings pipeline, contracts, rights tracking, hospitality & ticketing, reporting, and partner portals into one connected workspace. Commercial teams use wehave to stop losing rights in spreadsheets, automate guest lists and matchday check-in (no more WhatsApp/email chains), generate branded activation reports automatically, and give every partner a real-time portal of their own rights and deliverables. Coach Vic, wehave's AI commercial director, helps set up workspaces, drafts assets, and answers questions along the way. Trusted by 50+ clubs across Europe including Royal Antwerp FC, Stanndard de Liege, Tomorrowland, PSV and Feyenoord,

#### Who Is the Company Behind wehave?

- **Seller:** [wehave](https://www.g2.com/sellers/wehave)
- **Year Founded:** 2023
- **HQ Location:** antwerpen, BE
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=52a99d5fd1425408e2033f3ac254db0c16c5fd1320d9a0bf0c314e352ee4094b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fwehave%2F&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

### [xtendr](https://www.g2.com/products/xtendr/reviews)

xtendr facilitates secure data sharing and collaboration between teams, departments, and organisations - generating powerful insights without ever compromising on privacy.
 Using a combination of best-in-market Privacy Enhancing Technologies (PETs), xtendr allows participants to securely share data with external analytics providers, as well as to pool their datasets in order to learn from a broader range of information - all without ever exposing personal or sensitive information. With applications in industries including healthcare, finance and manufacturing, xtendr allows collaborators to combine datasets for enhanced research, audience analysis, detection of patterns and trends, and more.

#### Who Is the Company Behind xtendr?

- **Seller:** [xtendr](https://www.g2.com/sellers/xtendr)
- **Year Founded:** 2019
- **HQ Location:** Budapest, HU
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=43409eaecec13d52b90a58027d95485bfbd65c6daf1b064c928c8fd97e1bd78e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fxtendr&secure%5Burl_type%5D=linkedin_company_website)  
10 employees on LinkedIn®

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[Browse Data Clean Room Themes](/categories/data-clean-room/themes)

 ![Brandon Summers-Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Brandon Summers-Miller")
BS

Researched and written by [Brandon Summers-Miller](https://research.g2.com/insights/author/brandon-summers-miller)

Updated October 3, 2024

Data clean room software is used for privacy-compliant, sensitive data collaboration. These tools enable data collaboration without data sharing. Data clean room software joins sensitive datasets for analysis and controls what happens to that data, by whom, and what results each party can extract from this analysis. All this is done without revealing sensitive source data from the underlying datasets, thus preventing data leakage. Businesses use this software to collaborate with other parties, often to augment insights from their first-party data. The most common use case is for sharing customer data sets to find overlaps for co-marketing and other advertising purposes, although the technology can be used for any sensitive data collaboration needs.

Some data clean room technologies are platform and use-case specific, while others allow external partners to collaborate. These tools often differ in where the data is processed, with some solutions enabling analysis by connecting to the data where it resides, while others provide a neutral centralized location to upload data for analysis.

To qualify for inclusion in the Data Clean Room category, a product must:

- Provide secure, privacy-compliant data collaboration functionality using confidential computing methods such as secure multi-party computation

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