Compare leading data clean room software platforms by pricing, strengths, trade-offs, and best-fit teams.
#1
1. LiveRamp Safe Haven
Collaborate on data safely and securely.
4.6
LiveRamp Safe Haven is a data clean room solution that enables secure, permissioned collaboration on customer data without sharing raw PII. It allows brands and their partners to match, analyze, and activate data for various use cases like measurement, attribution, and audience building in a privacy-preserving environment.
Custom enterprise pricing
Best for: Enterprises needing secure data collaboration
The world's most powerful data collaboration platform.
4.7
InfoSum offers a 'non-movement of data' philosophy, allowing companies to collaborate on customer insights without sharing or moving any raw data. Its platform enables secure, federated analysis across multiple datasets, ensuring privacy and compliance while delivering powerful insights for marketing, measurement, and more.
Custom enterprise pricing
Best for: Privacy-first data collaboration and analysis
Secure, privacy-safe analytics for Amazon advertisers.
4.5
Amazon Marketing Cloud is a secure, privacy-safe clean room solution that allows advertisers to perform advanced analytics on their Amazon advertising and first-party data. It provides granular insights into campaign performance, audience behavior, and helps optimize advertising strategies without compromising customer privacy.
Usage-based pricing
Best for: Amazon advertisers seeking advanced analytics
Connect your data with Google event-level data securely.
4.5
Google Ads Data Hub is a privacy-safe data clean room that allows advertisers to join their first-party data with Google's event-level campaign data. This enables more customized and secure analysis, offering deeper insights into campaign performance, audience reach, and measurement while respecting user privacy.
Confidential computing for secure data collaboration.
4.6
Decentriq leverages confidential computing to create secure data clean rooms where multiple parties can collaborate on sensitive data without anyone seeing the raw data. It ensures privacy by executing computations within trusted execution environments, making it ideal for healthcare, finance, and other regulated industries.
Custom enterprise pricing
Best for: Highly sensitive multi-party data collaboration
Pros
Cutting-edge confidential computing technology
High level of data privacy and security
Supports multi-party computation
Cons
Newer technology, still gaining widespread adoption
Habu provides a suite of data clean room software solutions designed for secure and compliant data collaboration. Its platform helps companies unlock the value of their data with partners, enabling advanced analytics, audience segmentation, and measurement in a privacy-preserving environment across various cloud providers.
Custom enterprise pricing
Best for: Enterprises seeking flexible, secure data collaboration
7. Snowflake Healthcare & Life Sciences Data Cloud
Secure, compliant data sharing for healthcare innovation.
4.7
While not a standalone clean room, Snowflake's Data Cloud, with its robust secure data sharing capabilities and governance features, is frequently used to build and operate data clean rooms, especially within the healthcare and life sciences sectors. It enables secure collaboration on patient and research data.
Usage-based pricing (Snowflake)
Best for: Healthcare and life sciences data collaboration
Privacy-centric data collaboration for the advertising ecosystem.
4.3
Optable offers a secure, decentralized data clean room specifically built for the advertising industry. It enables publishers and advertisers to collaborate on first-party data for audience activation, measurement, and enrichment without sharing raw data, ensuring compliance with privacy regulations.
Custom enterprise pricing
Best for: Publishers and advertisers seeking privacy-safe data collaboration
Securely collaborate on data without sharing raw information.
4.5
Datarade offers data clean room solutions that enable businesses to perform joint analytics and derive insights from sensitive datasets. It ensures privacy-preserving collaboration by utilizing advanced cryptographic techniques and secure multi-party computation, ideal for industries with strict data governance.
Custom enterprise pricing
Best for: Enterprises needing secure, multi-party data collaboration for sensitive data.
Pros
Enhanced data privacy and security
Flexible deployment options
Robust analytics capabilities
Cons
Steep learning curve for complex analyses
Integration can be challenging with legacy systems
10. Leica Geosystems - ERDAS IMAGINE (Spatial Data Clean Room)
Geospatial intelligence for secure data collaboration.
4.2
While primarily a remote sensing software, ERDAS IMAGINE offers capabilities that can function as a spatial data clean room. It provides tools for secure processing, analysis, and sharing of geospatial data, ensuring that sensitive location intelligence can be collaborated upon without exposing raw imagery or proprietary algorithms.
Licensing varies by module and user count
Best for: Organizations focused on secure analysis and collaboration of geospatial and satellite imagery data.
Pros
Advanced geospatial analysis features
Strong historical presence in imagery processing
Supports various data formats for comprehensive solutions
Cons
Niche market, not a traditional general-purpose clean room
Unify, enrich, and activate customer data with privacy at core.
4.6
Zeotap's CDP integrates data clean room functionalities, allowing brands to onboard, unify, and enrich their customer data while adhering to privacy regulations. It enables secure collaboration for advanced analytics and activation across various marketing channels without compromising individual privacy or data governance.
Available upon request (enterprise licensing)
Best for: Marketers and data teams seeking to unify and activate customer data securely.
Pros
Robust data governance and privacy features
Comprehensive customer 360-degree view
Real-time data activation capabilities
Cons
Implementation can be time-consuming for large enterprises
Enabling secure and private data collaboration for media.
4.1
Oregan Networks, known for its video and media solutions, also offers data clean room capabilities tailored for the media and entertainment industry. These solutions facilitate secure, privacy-preserving data collaboration between content providers, advertisers, and platforms to optimize content delivery and advertising strategies.
Contact for custom quote
Best for: Media companies and advertisers needing secure clean rooms for content and ad optimization.
Achieve deeper audience insights with privacy-safe collaboration.
4.4
Adform's Data Clean Room provides a secure environment for advertisers and publishers to collaborate on sensitive audience data. It allows for advanced analytics and improved campaign targeting while ensuring compliance with global privacy regulations and maintaining data ownership boundaries for all participating parties.
Tiered enterprise pricing model
Best for: Advertisers and publishers seeking privacy-preserving audience insights and activation.
Connects data for more relevant customer experiences.
4.5
Acxiom Real ID is a data clean room solution designed to help businesses securely match and activate customer data. It allows for the creation of unified customer profiles without directly sharing personally identifiable information, enhancing personalized marketing and audience segmentation while maintaining privacy.
Custom enterprise pricing
Best for: Large enterprises and brands seeking advanced identity resolution and data collaboration.
Pros
Robust identity resolution capabilities.
Extensive experience in data management.
Supports various data collaboration use cases.
Cons
Can be complex to implement for smaller businesses.
Privacy-safe data collaboration for enhanced customer understanding.
4.4
Merkle Merkury provides a privacy-safe data clean room environment, enabling brands to collaborate on data without compromising individual privacy. It facilitates enriched customer insights, audience segmentation, and personalized campaign activation through secure data matching and analysis within a compliant framework.
Contact for pricing
Best for: Marketing and advertising professionals in large organizations focused on privacy-centric customer insights.
Pros
Focus on privacy and compliance.
Integrated with Merkle's broader marketing services.
Discover new customers using privacy-safe data collaboration.
4.3
Epsilon PeopleCloud Prospect offers a data clean room solution for secure data collaboration and new customer acquisition. It allows businesses to safely combine their first-party data with Epsilon's extensive consumer data, enabling precise audience targeting and expansion while adhering to privacy regulations.
Custom pricing plans
Best for: Marketers looking to expand their customer base with privacy-compliant data matching.
Secure data collaboration for smarter audience targeting.
4.6
TransUnion TruAudience Data Clean Room provides a secure and privacy-centric environment for data collaboration. It enables businesses to analyze and activate their audience data in partnership with TransUnion's extensive consumer insights, facilitating more effective targeting and measurement while upholding data privacy standards.
Enterprise custom pricing
Best for: Advertisers and media companies seeking privacy-safe audience insights and activation.
Pros
Leverages TransUnion's robust identity graph.
Focus on audience targeting and measurement.
Strong emphasis on data security and privacy.
Cons
Primarily focused on marketing and advertising use cases.
Requires good understanding of data privacy principles.
Privacy-safe identity resolution for better marketing outcomes.
4.2
LiveIntent Identity Solutions offers a privacy-preserving data clean room framework that enables publishers and advertisers to connect their first-party data. It facilitates secure identity resolution and audience activation across various channels, helping to improve campaign performance while respecting user privacy and regulatory requirements.
Contact sales for demo and pricing
Best for: Publishers and advertisers seeking privacy-safe, cookieless identity resolution.
Pros
Specialization in publisher and advertiser ecosystems.
Everything you need to know before choosing a data clean room software solution — features, pricing, evaluation criteria, and answers to common questions.
01
How we compare Data Clean Room Software for US teams
This page tracks 18 data clean room software platforms that are actively sold and supported in the United States. Each listing is reviewed for US availability, English-language support during North American business hours, and pricing published in US dollars, so a buyer in New York or San Francisco can shortlist without chasing regional resellers.
The strongest current options are LiveRamp Safe Haven, InfoSum Platform, and Amazon Marketing Cloud (AMC). We look at what each product actually does day to day, where it fits in a US tech stack, and who it is genuinely a good fit for — rather than ranking purely on marketing spend.
Across the shortlist, the capabilities buyers cite most often are Robust identity resolution capabilities, Strong focus on privacy and security, and Zero-data-sharing architecture. Use those as the baseline: if a vendor cannot match them, it usually needs a very specific reason to stay on your list.
02
Data Clean Room Software pricing in the US
Published pricing across these data clean room software tools falls into 4 broad shapes: Custom enterprise pricing, Usage-based pricing, Usage-based pricing (Snowflake), and Licensing varies by module and user count. US list prices are normally quoted per user per month in USD, billed annually, with a discount of roughly 10–20% for the annual commitment.
There is no meaningful free tier in this category, so budget for a paid pilot. Most US vendors will run a 14–30 day trial on request.
Several vendors list quote-only enterprise pricing. Ask for the total first-year cost including implementation, data migration, sandbox environments, and premium support — those line items are where US enterprise deals typically grow 30–50% beyond the seat price.
Also budget for the non-obvious costs: SSO/SAML is often gated behind a higher tier, API rate limits can force an upgrade, and multi-year contracts frequently include automatic uplift clauses. Sales tax treatment for SaaS varies by state, so confirm whether quotes are tax-inclusive.
03
Security, compliance and procurement checks
For US buyers, security review is usually the step that decides the deal. Before you sign for data clean room software, ask each vendor for a current SOC 2 Type II report, their sub-processor list, and their data residency options — many teams require that data stays in US regions.
Layer on the regulations that apply to you: HIPAA and a signed BAA for anything touching patient data, CCPA/CPRA obligations for California consumer data, FERPA in education, GLBA in financial services, and FedRAMP or StateRAMP authorization if you sell to public sector. If you have EU users too, check the vendor's Data Privacy Framework certification.
Practical checklist: SSO and SCIM provisioning, role-based access control, audit logs exportable to your SIEM, documented breach-notification timelines, and a data-deletion path you can actually execute at the end of the contract.
04
Which data clean room software option fits your team
The tools on this page are built for different buyers — Enterprises needing secure data collaboration, Privacy-first data collaboration and analysis, Amazon advertisers seeking advanced analytics, and Advertisers using Google ad platforms. Match the tool to your stage rather than to the longest feature list.
Startups and small US teams (1–50 employees): prioritize fast self-serve setup, month-to-month billing, and a free or low-cost tier. You want something running this week, not a three-month rollout.
Mid-market (50–1,000 employees): the deciding factors are usually SSO, granular permissions, an open API, and integrations with the rest of your stack. Expect a security questionnaire and a 4–8 week evaluation.
Enterprise (1,000+): weight the contract, not the demo — uptime SLA with credits, named support with US-hours coverage, sandbox environments, migration assistance, and a clear roadmap commitment.
A practical shortlist method: pick two options from this list — typically LiveRamp Safe Haven and InfoSum Platform — run the same real workflow through both for two weeks, and score them on setup time, support responsiveness, and how much manual work is left over.
FAQ
Data Clean Room Software — Frequently Asked Questions
Quick answers to the most common questions about choosing data clean room software in 2026.
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