# Best Data Clean Room Software *By [Brandon Summers-Miller](https://research.g2.com/insights/author/brandon-summers-miller)* 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 ## Category Overview **Total Products under this Category:** 26 ## Trust & Credibility Stats **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 3,700+ Authentic Reviews - 26+ 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. ## Best Data Clean Room Software At A Glance - **Leader:** [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - **Highest Performer:** [Crossbeam](https://www.g2.com/products/crossbeam/reviews) - **Easiest to Use:** [Crossbeam](https://www.g2.com/products/crossbeam/reviews) - **Top Trending:** [Crossbeam](https://www.g2.com/products/crossbeam/reviews) - **Best Free Software:** [Crossbeam](https://www.g2.com/products/crossbeam/reviews) ## Top-Rated Products (Ranked by G2 Score) ### 1. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and run up to 1 TiB of queries for free per month. **Average Rating:** 4.5/5.0 **Total Reviews:** 1,157 **User Satisfaction Scores:** - **Ease of Admin:** 8.5/10 (Category avg: 8.7/10) - **Centralized Computation:** 9.0/10 (Category avg: 8.9/10) - **Localized computation:** 8.5/10 (Category avg: 8.4/10) - **Ease of Use:** 8.7/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,885,216 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Reviewer Demographics:** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 37% Enterprise, 35% Mid-Market #### Pros & Cons **Pros:** - Ease of Use (156 reviews) - Speed (143 reviews) - Fast Querying (120 reviews) - Integrations (118 reviews) - Query Efficiency (114 reviews) **Cons:** - Expensive (127 reviews) - Query Issues (78 reviews) - Cost Issues (63 reviews) - Cost Management (60 reviews) - Learning Curve (54 reviews) ### 2. [Snowflake](https://www.g2.com/products/snowflake/reviews) Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW). **Average Rating:** 4.6/5.0 **Total Reviews:** 667 **User Satisfaction Scores:** - **Ease of Admin:** 8.7/10 (Category avg: 8.7/10) - **Centralized Computation:** 9.3/10 (Category avg: 8.9/10) - **Localized computation:** 9.1/10 (Category avg: 8.4/10) - **Ease of Use:** 9.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc) - **Company Website:** https://www.snowflake.com - **Year Founded:** 2012 - **HQ Location:** San Mateo, CA - **Twitter:** @SnowflakeDB (240 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/snowflake-computing/ (10,857 employees on LinkedIn®) **Reviewer Demographics:** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Mid-Market, 43% Enterprise #### Pros & Cons **Pros:** - Ease of Use (89 reviews) - Scalability (68 reviews) - Data Management (67 reviews) - Features (66 reviews) - Integrations (61 reviews) **Cons:** - Expensive (53 reviews) - Cost (36 reviews) - Cost Management (32 reviews) - Learning Curve (25 reviews) - Feature Limitations (21 reviews) ### 3. [Amazon Marketing Cloud](https://www.g2.com/products/amazon-marketing-cloud/reviews) Amazon Marketing Cloud (AMC) is a secure, privacy-safe, and cloud-based clean room solution, in which advertisers can easily perform analytics across pseudonymized signals, including Amazon Ads signals as well as their own inputs. **Average Rating:** 4.4/5.0 **Total Reviews:** 72 **User Satisfaction Scores:** - **Ease of Admin:** 8.7/10 (Category avg: 8.7/10) - **Centralized Computation:** 8.5/10 (Category avg: 8.9/10) - **Localized computation:** 8.4/10 (Category avg: 8.4/10) - **Ease of Use:** 8.6/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Amazon](https://www.g2.com/sellers/amazon) - **Year Founded:** 1994 - **HQ Location:** Seattle, WA - **Twitter:** @amazon (5,919,028 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1586/ (754,926 employees on LinkedIn®) - **Ownership:** AMZN **Reviewer Demographics:** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 43% Mid-Market, 42% Small-Business ### 4. [Crossbeam](https://www.g2.com/products/crossbeam/reviews) Crossbeam is the Ecosystem Revenue Platform that empowers go-to-market teams to securely share and access unique ecosystem insights from your partners' CRMs to uncover new opportunities, target the right accounts, and achieve your revenue goals. Connect with 30,000+ companies on the Crossbeam Network and identify the fastest path to revenue with Ecosystem Intelligence, recommended plays for your revenue team, and warm intros and co-selling with your partners. **Average Rating:** 4.8/5.0 **Total Reviews:** 351 **User Satisfaction Scores:** - **Ease of Admin:** 9.2/10 (Category avg: 8.7/10) - **Centralized Computation:** 9.2/10 (Category avg: 8.9/10) - **Localized computation:** 8.3/10 (Category avg: 8.4/10) - **Ease of Use:** 9.1/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Crossbeam](https://www.g2.com/sellers/crossbeam) - **Year Founded:** 2018 - **HQ Location:** Philadelphia, Pennsylvania - **Twitter:** @Crossbeam (1,352 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/11765969/ (195 employees on LinkedIn®) **Reviewer Demographics:** - **Who Uses This:** Partnerships Manager, Head of Partnerships - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 62% Mid-Market, 19% Enterprise #### Pros & Cons **Pros:** - Ease of Use (10 reviews) - Data Sharing (6 reviews) - Integrations (5 reviews) - Account Mapping (4 reviews) - Partnerships (4 reviews) **Cons:** - Difficult Navigation (3 reviews) - Learning Curve (3 reviews) - Limited Features (3 reviews) - UX Improvement (3 reviews) - Data Accessibility (2 reviews) ### 5. [AppsFlyer](https://www.g2.com/products/appsflyer/reviews) AppsFlyer is the Modern Marketing Cloud that helps businesses transform complex data into clarity and growth. A foundation for unified, measurable, autonomous marketing, AppsFlyer breaks down silos across measurement, deep linking, data collaboration, and autonomous AI workflows. For more than a decade, AppsFlyer has been the leader in mobile attribution, trusted by over 15,000 businesses worldwide. To learn more, visit www.appsflyer.com. **Average Rating:** 4.5/5.0 **Total Reviews:** 676 **User Satisfaction Scores:** - **Ease of Admin:** 8.4/10 (Category avg: 8.7/10) - **Centralized Computation:** 8.8/10 (Category avg: 8.9/10) - **Localized computation:** 9.0/10 (Category avg: 8.4/10) - **Ease of Use:** 8.4/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [AppsFlyer](https://www.g2.com/sellers/appsflyer) - **Company Website:** https://www.appsflyer.com - **Year Founded:** 2011 - **HQ Location:** San Francisco, CA - **Twitter:** @AppsFlyer (12,757 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2233984/ (1,522 employees on LinkedIn®) **Reviewer Demographics:** - **Who Uses This:** Product Manager, Marketing Manager - **Top Industries:** Financial Services, Marketing and Advertising - **Company Size:** 44% Mid-Market, 30% Enterprise #### Pros & Cons **Pros:** - Analytics (26 reviews) - Features (26 reviews) - Ease of Use (22 reviews) - Insights (21 reviews) - Attribution (16 reviews) **Cons:** - Expensive (16 reviews) - Data Inaccuracy (14 reviews) - Pricing Issues (9 reviews) - Data Management Issues (8 reviews) - Dashboard Issues (7 reviews) ### 6. [Adobe Real-Time CDP](https://www.g2.com/products/adobe-real-time-cdp/reviews) Real-Time CDP is a single system for enterprises to manage person and account profiles that can be activated across the customer lifecycle. Real-time CDP is built with data governance and privacy at the center so your enterprise can build customer trust through responsible management and protection of customer data across your enterprise. Features include: - Actionable unified profiles: Unify and normalize known and pseudonymous customer data from all online and offline sources to create real-time, actionable B2B and B2C customer profiles. Ensure enterprise systems and teams use consistent data to understand customers across their devices, improving engagement and streaming data for real-time insights and faster time to market - Audience management for enterprise: End-to-end audience management allows you to enrich and segment unified profiles in real time with AI-powered insights to create complete audiences for targeted and relevant campaigns. Boost efficiency with prebuilt workflows that understand data sources and activate them downstream. Find new customers and respond quickly to changing behaviors with look-alike audiences and propensity scoring. Centrally manage audiences, including those built in other applications, and augment them with profiles federated from AWS Redshift, Azure Synapse, Databricks, Google BigQuery, and Snowflake. - Customer acquisition in a cookieless era: Boost marketing effectiveness across the funnel with data-rich audiences. Retain scale by associating durable identifiers with customer profiles. Securely collaborate on first-party data and audiences with trusted partners. Reach your audience with advertising-focused integrations that don’t rely on outdated identifiers. - Data governance and privacy: Data governance tools for the enterprise allow you to manage customer data across all business lines from a centralized platform. Stay compliant with transparent tools for consent collection, data labeling, policy creation, and data usage enforcement. Prevent activation of sensitive data and manage consumer data requests with both an API and user-friendly interface. View data sources and policies before activating audiences - Activation: Deliver relevant and real-time customer experiences across channels by activating B2C and B2B audiences in real time on Adobe and non-Adobe marketing applications. Deliver targeted customer experiences and in-the-moment personalization. Strengthen cross-channel campaigns by activating both known and unknown data. Orchestrate customer journeys on an easy-to-use canvas, leveraging partner data, use-case playbooks, and an AI Assistant for better audience activation. Deliver relevant and real-time customer experiences across channels by activating B2C and B2B audiences in real time on Adobe and non-Adobe marketing applications. Deliver targeted customer experiences and in-the-moment personalization. Strengthen cross-channel campaigns by activating both known and unknown data. Orchestrate customer journeys on an easy-to-use canvas, leveraging partner data, use-case playbooks, and an AI Assistant for better audience activation. **Average Rating:** 4.1/5.0 **Total Reviews:** 162 **User Satisfaction Scores:** - **Ease of Admin:** 7.4/10 (Category avg: 8.7/10) - **Centralized Computation:** 7.3/10 (Category avg: 8.9/10) - **Localized computation:** 8.0/10 (Category avg: 8.4/10) - **Ease of Use:** 7.8/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Adobe](https://www.g2.com/sellers/adobe) - **Company Website:** https://adobe.com - **Year Founded:** 1982 - **HQ Location:** San Jose, CA - **Twitter:** @Adobe (956,297 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1480/ (41,539 employees on LinkedIn®) **Reviewer Demographics:** - **Top Industries:** Financial Services, Computer Software - **Company Size:** 32% Enterprise, 31% Small-Business #### Pros & Cons **Pros:** - Ease of Use (68 reviews) - Personalization (65 reviews) - Data Management (62 reviews) - Data Insights (44 reviews) - Integrations (41 reviews) **Cons:** - Learning Curve (70 reviews) - Complex Setup (50 reviews) - Difficult Setup (43 reviews) - Expensive (39 reviews) - Steep Learning Curve (30 reviews) ### 7. [Google Ads Data Hub](https://www.g2.com/products/google-ads-data-hub/reviews) Tailor your marketing measurement approach to your unique business needs. Ads Data Hub enables customized analysis that aligns with your specific business objectives, while respecting user privacy and upholding Google’s high standards of data security. **Average Rating:** 4.4/5.0 **Total Reviews:** 44 **User Satisfaction Scores:** - **Ease of Admin:** 9.0/10 (Category avg: 8.7/10) - **Centralized Computation:** 8.3/10 (Category avg: 8.9/10) - **Localized computation:** 8.2/10 (Category avg: 8.4/10) - **Ease of Use:** 8.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,885,216 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Reviewer Demographics:** - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 56% Small-Business, 40% Mid-Market #### Pros & Cons **Pros:** - Attribution Management (1 reviews) - Privacy (1 reviews) - Secure Sharing (1 reviews) **Cons:** - Data Accessibility (1 reviews) - Slow Performance (1 reviews) - SQL Functionality Issues (1 reviews) - Technical Expertise (1 reviews) ### 8. [Decentriq](https://www.g2.com/products/decentriq-decentriq/reviews) Decentriq is a data collaboration platform where secure, technology-enforced data clean rooms unlock the value of sensitive data while ensuring full compliance and privacy. **Average Rating:** 4.5/5.0 **Total Reviews:** 11 **User Satisfaction Scores:** - **Ease of Admin:** 10.0/10 (Category avg: 8.7/10) - **Centralized Computation:** 9.3/10 (Category avg: 8.9/10) - **Localized computation:** 5.4/10 (Category avg: 8.4/10) - **Ease of Use:** 8.7/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Decentriq](https://www.g2.com/sellers/decentriq) - **Year Founded:** 2019 - **HQ Location:** Zürich, CH - **LinkedIn® Page:** https://www.linkedin.com/company/decentriq/ (28 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 55% Enterprise, 27% Mid-Market #### Pros & Cons **Pros:** - Customer Support (6 reviews) - Ease of Use (5 reviews) - User Interface (4 reviews) - Advertising Strategy (2 reviews) - Easy Setup (2 reviews) **Cons:** - Complexity Issues (1 reviews) - Data Inaccuracy (1 reviews) - Data Integration (1 reviews) - Difficult Navigation (1 reviews) - Key Recovery (1 reviews) ### 9. [PartnerTap](https://www.g2.com/products/partnertap/reviews) PartnerTap is the leading partner ecosystem orchestration and co-selling solution for the enterprise. Our software identifies all the potential new logo and expansion opportunities with each partner, then makes it easy to orchestrate data-driven sales plays, through-channel plays, co-sell plays, and P2P plays with automated workflows. PartnerTap data can be pushed instantly back into your CRM with 100% native integrations, no third-party tools required. 100% 5-star reviews on the Salesforce AppExchange and Hubspot Marketplace. **Average Rating:** 4.7/5.0 **Total Reviews:** 205 **User Satisfaction Scores:** - **Ease of Admin:** 9.1/10 (Category avg: 8.7/10) - **Centralized Computation:** 8.3/10 (Category avg: 8.9/10) - **Localized computation:** 8.3/10 (Category avg: 8.4/10) - **Ease of Use:** 9.2/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [PartnerTap](https://www.g2.com/sellers/partnertap) - **Year Founded:** 2016 - **HQ Location:** Seattle, WA - **Twitter:** @PartnerTap (1,165 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/partnertap (28 employees on LinkedIn®) **Reviewer Demographics:** - **Who Uses This:** Major Accounts District Manager, Major Account District Manager - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 55% Enterprise, 28% Mid-Market #### Pros & Cons **Pros:** - Partner Management (45 reviews) - Ease of Use (43 reviews) - Partnerships Management (37 reviews) - Account Mapping (21 reviews) - Helpful (16 reviews) **Cons:** - Partnership Challenges (9 reviews) - Partnership Management (8 reviews) - Improvements Needed (6 reviews) - Difficult Learning Process (5 reviews) - Learning Curve (4 reviews) ### 10. [LiveRamp](https://www.g2.com/products/liveramp/reviews) LiveRamp enables brands, publishers, and platforms to deliver exceptional experiences and drive measurable performance everywhere it matters with the world’s most powerful data collaboration network. Built for interoperability across identifiers, platforms, partners and clouds at scale and powered by its identity resolution technology, the LiveRamp Data Collaboration Platform enables its customers to build enduring brand and business value by collaborating responsibly with data. **Average Rating:** 4.2/5.0 **Total Reviews:** 102 **User Satisfaction Scores:** - **Ease of Admin:** 7.8/10 (Category avg: 8.7/10) - **Centralized Computation:** 7.5/10 (Category avg: 8.9/10) - **Ease of Use:** 7.9/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [LiveRamp](https://www.g2.com/sellers/liveramp) - **Year Founded:** 2011 - **HQ Location:** San Francisco, CA - **Twitter:** @LiveRamp (6,433 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2241197/ (1,511 employees on LinkedIn®) - **Ownership:** NYSE: RAMP **Reviewer Demographics:** - **Top Industries:** Marketing and Advertising, Financial Services - **Company Size:** 48% Enterprise, 32% Mid-Market #### Pros & Cons **Pros:** - Ease of Use (11 reviews) - Platform Integration (10 reviews) - Audience Activation (6 reviews) - Data Management (6 reviews) - Channel Management (5 reviews) **Cons:** - Difficult Learning (6 reviews) - Learning Curve (4 reviews) - Long Waiting Times (4 reviews) - Poor Customer Support (4 reviews) - Complexity (3 reviews) ### 11. [Optable](https://www.g2.com/products/optable/reviews) Optable is an identity management and data collaboration platform designed for the advertising ecosystem in the age of privacy. \*Identity First\* With shared identifiers like cookies & mobile IDs being phased out and audience data becoming increasingly fragmented, we empower media owners, publishers, and platforms to harness the power of their first-party data. Our platform makes it easy to assemble an identity graph across all your sources, enrich it with leading partner data sets, and use your ID graph for activation in the channels that matter the most for your ad business. \*Give Programmatic Revenue A Boost\* Ad sellers need a complete set of tools to support the many different ways that they monetize their audience data. For programmatic revenue, Optable makes it easy to plug into ID frameworks like UID 2.0 and Yahoo Connect ID. Additionally, publishers with unique first party audience data can port data into leading marketplaces like The Trade Desk and curation platforms such as Pubmatic. This allows publishers to test different monetization strategies and meet buyers where they are looking to activate. \*Future Proof Your Direct Ad Sales\* It’s no secret that data driven sales teams win more share of ad spend. Optable makes it easy for media owners to collect, analyze and activate audience data no matter how complex their network or distribution is. Optable’s purpose-built tools for audience building, attribute enrichment and clean room collaboration means that sales teams can respond faster to RFPs, deliver more relevant audiences and offer deeper insights to their advertising partners. **Average Rating:** 5.0/5.0 **Total Reviews:** 7 **User Satisfaction Scores:** - **Ease of Admin:** 9.2/10 (Category avg: 8.7/10) - **Centralized Computation:** 9.7/10 (Category avg: 8.9/10) - **Localized computation:** 9.3/10 (Category avg: 8.4/10) - **Ease of Use:** 9.7/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Optable](https://www.g2.com/sellers/optable) - **Year Founded:** 2020 - **HQ Location:** Montreal, CA - **LinkedIn® Page:** https://www.linkedin.com/company/optableco (61 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 57% Mid-Market, 43% Enterprise #### Pros & Cons **Pros:** - Audience Activation (3 reviews) - Audience Targeting (3 reviews) - Customer Support (3 reviews) - Marketing Campaigns (3 reviews) - Customer Engagement (2 reviews) **Cons:** - Difficult Learning (1 reviews) - Learning Curve (1 reviews) - Limited Customization (1 reviews) - Technical Expertise (1 reviews) ### 12. [Permutive](https://www.g2.com/products/permutive/reviews) Permutive is a predictive data collaboration platform designed to facilitate the secure collaboration among publishers, advertisers, agencies, and retail media leaders. This innovative solution integrates clean room capabilities, curation, and first-party data activation into a single, privacy-first framework. By focusing on data security and compliance, Permutive allows users to leverage their data effectively while adhering to privacy regulations. The platform is particularly beneficial for organizations looking to enhance their advertising strategies through better data utilization. Publishers can optimize their audience signals, while advertisers gain access to valuable insights that drive campaign performance. The ability to collaborate across multiple channels without compromising data integrity makes Permutive an essential tool for businesses aiming to maximize their advertising impact in a privacy-conscious environment. Key features of Permutive include its advanced Data Clean Room, which enables advertisers to work securely with over 150 publishers on the open internet. This feature eliminates the need to share personally identifiable information (PII), move data, or engage in complex coding processes, thereby simplifying the collaboration process. Additionally, the platform’s reimagined Data Management Platform (DMP) harnesses artificial intelligence to enhance workflow efficiency, provide actionable insights, and recommend proactive opportunities for users. Permutive stands out in the market with its proprietary taxonomy and AI-driven modeling, which together create curated packages that emphasize contextual relevance and real-time publisher insights. This unique approach allows for stronger targeting and access to brand-safe inventory, ultimately leading to measurable outcomes for advertisers. By combining first-party affinity data with publisher signals, Permutive empowers media-buying agencies to make informed decisions that drive successful advertising campaigns. Overall, Permutive offers a robust solution for organizations seeking to navigate the complexities of identity and data collaboration in the digital advertising landscape. Its focus on privacy, security, and collaboration positions it as a valuable resource for those looking to enhance their advertising efforts while maintaining compliance with data protection regulations. **Average Rating:** 4.5/5.0 **Total Reviews:** 82 **User Satisfaction Scores:** - **Ease of Admin:** 8.9/10 (Category avg: 8.7/10) - **Centralized Computation:** 8.7/10 (Category avg: 8.9/10) - **Localized computation:** 8.3/10 (Category avg: 8.4/10) - **Ease of Use:** 8.7/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Permutive](https://www.g2.com/sellers/permutive) - **Company Website:** https://permutive.com - **Year Founded:** 2016 - **HQ Location:** London - **Twitter:** @permutive (1,208 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/9314455/ (108 employees on LinkedIn®) **Reviewer Demographics:** - **Top Industries:** Publishing, Marketing and Advertising - **Company Size:** 47% Mid-Market, 36% Enterprise #### Pros & Cons **Pros:** - Ease of Use (6 reviews) - Customer Support (5 reviews) - Easy Integrations (5 reviews) - Features (5 reviews) - Integrations (5 reviews) **Cons:** - Data Accessibility (3 reviews) - Data Inaccuracy (3 reviews) - Expensive (2 reviews) - Poor Customer Support (2 reviews) - Complex Setup (1 reviews) ### 13. [AWS Clean Rooms](https://www.g2.com/products/aws-clean-rooms/reviews) AWS Clean Rooms is a service that enables companies and their partners to securely collaborate on collective datasets without sharing or copying underlying data. Users can create secure data clean rooms in minutes, facilitating joint analysis to generate unique insights into advertising campaigns, investment decisions, and research and development efforts. Key Features and Functionality: - Rapid Deployment: Quickly set up clean rooms and invite participants without the need to build, manage, or maintain custom solutions. - Data Collaboration Without Sharing Raw Data: Collaborate with partners without moving or exposing raw data, maintaining data privacy and security. - Privacy-Enhancing Controls: Utilize fine-grained analysis rules, differential privacy, and cryptographic computing to enforce stringent data-handling policies. - Flexible Analytics and Machine Learning Integration: Match and link customer records across various sources, use analytics tools like PySpark and SQL, and deploy machine learning models without sharing raw data. Primary Value and Problem Solved: AWS Clean Rooms addresses the challenge of secure data collaboration by allowing multiple organizations to analyze combined datasets without exposing sensitive information. This capability is crucial for industries like advertising, healthcare, and financial services, where data privacy and compliance are paramount. By providing a secure environment with robust privacy controls, AWS Clean Rooms enables organizations to unlock valuable insights, enhance customer experiences, and drive innovation while maintaining strict data privacy standards. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Centralized Computation:** 10.0/10 (Category avg: 8.9/10) - **Localized computation:** 10.0/10 (Category avg: 8.4/10) - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,223,984 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Reviewer Demographics:** - **Company Size:** 100% Mid-Market ### 14. [CipherCore](https://www.g2.com/products/ciphercore/reviews) CipherCore is an advanced secure computation engine developed by CipherMode Labs, designed to enable data analysis and machine learning on encrypted data without the need for decryption. This innovative approach ensures that sensitive information remains confidential throughout the computation process, facilitating secure collaboration between multiple data owners without exposing their individual datasets. Key Features and Functionality: - Secure Multi-Party Computation : CipherCore utilizes SMPC protocols to perform computations across distributed datasets, allowing multiple parties to jointly compute functions over their inputs while keeping those inputs private. - Efficiency and Scalability: Engineered for high performance, CipherCore offers computation speeds that are significantly faster than traditional homomorphic encryption methods, making it suitable for large-scale data operations. - User-Friendly Implementation: Developed in Rust with a Python wrapper, CipherCore is accessible to developers without requiring deep cryptographic expertise, simplifying the integration of secure computations into existing workflows. - Open Source Accessibility: Released under the Apache license, CipherCore is available for community use and contribution, promoting transparency and collaborative development. Primary Value and Problem Solved: CipherCore addresses the critical challenge of performing data analysis and machine learning on sensitive information without compromising privacy. By enabling computations on encrypted data, it allows organizations to collaborate securely, comply with data protection regulations, and mitigate the risks associated with data breaches. This capability is particularly valuable in sectors like healthcare, finance, and any industry where data confidentiality is paramount. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **User Satisfaction Scores:** - **Centralized Computation:** 10.0/10 (Category avg: 8.9/10) - **Localized computation:** 8.3/10 (Category avg: 8.4/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [CipherMode Labs](https://www.g2.com/sellers/ciphermode-labs-901f4cc7-6831-4e5d-bfd5-01c6e3ba9485) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Mid-Market, 100% Small-Business ### 15. [BinariiDSM](https://www.g2.com/products/binariidsm/reviews) BinariiDSM is an advanced Data Security Management (DSM) solution designed to provide unparalleled protection for sensitive information. Leveraging a patented security process, it fragments, encrypts, and distributes documents across multiple user-owned storage locations, ensuring data redundancy and eliminating the risks of relying on a single vendor. This approach safeguards data and guarantees uninterrupted access, even in the event of a storage failure. **Seller Details:** - **Seller:** [Binarii Labs](https://www.g2.com/sellers/binarii-labs) - **Year Founded:** 2021 - **HQ Location:** Dublin 4, IE - **LinkedIn® Page:** https://www.linkedin.com/company/binariilabs/ (16 employees on LinkedIn®) ### 16. [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. **Seller Details:** - **Seller:** [Duality](https://www.g2.com/sellers/duality) - **Year Founded:** 2016 - **HQ Location:** Hoboken, US - **Twitter:** @DualityEngine (6 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/duality-technologies (51 employees on LinkedIn®) ### 17. [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!” **Seller Details:** - **Seller:** [Helios Data](https://www.g2.com/sellers/helios-data) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 18. [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 **User Satisfaction Scores:** - **Ease of Use:** 10.0/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [InfoSum](https://www.g2.com/sellers/infosum) - **HQ Location:** London, GB - **Twitter:** @InfoSum (1,116 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/infosumhq (75 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Enterprise ### 19. [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. **Seller Details:** - **Seller:** [Linksight](https://www.g2.com/sellers/linksight) - **Year Founded:** 2021 - **HQ Location:** utrecht , NL - **LinkedIn® Page:** https://www.linkedin.com/company/linksight-mpc/ (10 employees on LinkedIn®) ### 20. [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. **Seller Details:** - **Seller:** [Merkle](https://www.g2.com/sellers/merkle) - **Year Founded:** 1971 - **HQ Location:** Columbia, MD - **Twitter:** @MerkleCRM (57 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/merkle/ (5,696 employees on LinkedIn®) ### 21. [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. **Seller Details:** - **Seller:** [Omnisient](https://www.g2.com/sellers/omnisient) - **Year Founded:** 2019 - **HQ Location:** Dover, US - **LinkedIn® Page:** https://www.linkedin.com/company/omnisient (52 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 100% Small-Business ### 22. [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. **Seller Details:** - **Seller:** [Opaque](https://www.g2.com/sellers/opaque) - **Year Founded:** 2021 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/opaquesystems/ (51 employees on LinkedIn®) ### 23. [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. **Seller Details:** - **Seller:** [Samooha](https://www.g2.com/sellers/samooha) - **Year Founded:** 2022 - **HQ Location:** Los Altos Hills, US - **Twitter:** @samooha_inc (175 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/samoohatech/ (16 employees on LinkedIn®) ### 24. [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 **User Satisfaction Scores:** - **Ease of Admin:** 9.2/10 (Category avg: 8.7/10) - **Ease of Use:** 8.3/10 (Category avg: 8.8/10) **Seller Details:** - **Seller:** [Vendia](https://www.g2.com/sellers/vendia) - **Year Founded:** 2020 - **HQ Location:** San Francisco, California, United States - **LinkedIn® Page:** https://www.linkedin.com/company/vendiahq/ (89 employees on LinkedIn®) **Reviewer Demographics:** - **Company Size:** 67% Mid-Market, 33% Small-Business #### Pros & Cons **Pros:** - Data Management (1 reviews) - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Solutions (1 reviews) **Cons:** - Poor Customer Support (1 reviews) - Slow Processing (1 reviews) ### 25. [wehave](https://www.g2.com/products/wehave/reviews) Wehave is a privacy-safe \*\*data clean room\*\* that makes sponsorships measurable. We focus on: ✔ Conversions ✔ Revenue ✔ Loyalty A way to see how many fans from a sponsorship actually become customers and what they spend-without either side sharing raw data. Think of it like a locked-room calculator: both lists stay private; you get overlap, conversions, and revenue. **Seller Details:** - **Seller:** [wehave](https://www.g2.com/sellers/wehave) - **Year Founded:** 2023 - **HQ Location:** antwerpen, BE - **LinkedIn® Page:** https://www.linkedin.com/company/wehave/ (8 employees on LinkedIn®) ## Parent Category [Data Privacy Software](https://www.g2.com/categories/data-privacy-3d79da1e-6384-42b3-a11f-d04b6694e806)