AWS Clean Rooms
Managed clean-room service for collaborative analysis
Best for enterprise publishers.
Summary review · Last verified Oct 19, 2026 · Scored on 9 criteria · Vendors can't pay for scores
Research by Vahe Arabian · Scored and edited by the SODP team
Key facts
- Score
- 2.5 / 5
- Tier
- Limited
- Pricing model
- Pay as you go: SQL compute at $2.00 per…
- Type
- Clean room
At a glance
- AWS Clean Rooms scores 2.5/5 (Limited) in Benchmark Grid's independent data clean rooms benchmark, assessed on 9 published criteria.
- It is built for enterprise publishers.
- Strongest on Privacy & Regulatory Compliance (GDPR/CCPA) (4.5) and Publisher Data Control & Governance (4.2); weakest on Cost & Commercial Model (2.0).
- Pricing: Pay as you go: SQL compute at $2.00 per CRPU-hour (60-second minimum), with PySpark, ML and entity resolution priced separately; no free ti…
- Scores last verified 19 Oct 2026. Vendors cannot pay for a score or a position.
Summary
Editor's update, October 2026: 19 Oct 2026 accuracy audit: identity and activation re-scored on evidence, published pricing added, empty copy written.
Managed AWS service letting companies and their partners analyse combined datasets with SQL, PySpark or their own ML models, under analysis rules and differential privacy, without sharing or copying raw data.
AWS Clean Rooms is a managed service for collaborating on combined datasets without sharing or copying the underlying data. Members create a clean room, invite partners and run SQL, PySpark or their own machine-learning models against the joined data. It is general-purpose infrastructure for companies already working in AWS, used for advertising and marketing as well as other industries, rather than a product built for publishers.
Its standout capabilities are its privacy controls and analytical range: fine-grained analysis rules, AWS Clean Rooms Differential Privacy, cryptographic computing and analysis logs govern what partners can see, while entity resolution matches and links customer records across sources. Partners can also collaborate on data held in Snowflake as well as AWS via zero-ETL, and the service supports campaign planning, activation and measurement use cases, including lookalike modelling.
The limitations are effort and cost predictability. Setup requires AWS configuration, out-of-the-box reporting is limited to the queries you write, and pay-as-you-go pricing across compute, ML and entity resolution can be hard to forecast at scale. There is no free tier.
Score breakdown
2.5 = 0.45 × 3.27 capability + 0.40 × 1.50 publisher fit + 0.15 × 2.80 cost
Σ (criterion rating × weight) across 9 criteria · scale 1 (poor) → 5 (excellent)
The service is built specifically for secure, privacy-compliant data collaboration without sharing raw underlying datasets.
14% of capability · What we check: The tool provides automated audit trails and consent management features to ensure all data processing meets current privacy legal requirements.
Entity resolution matches and links customer records across applications, channels and data stores, with rule-based and provider-based options.
14% of capability · What we check: The system matches first-party identifiers against partner data sets with high accuracy and minimal data loss rates during the process.
Granular query controls allow users to define exactly what operations and data access partners can execute.
12% of capability · What we check: Publishers define granular permission settings to restrict who accesses their raw data and prevent unauthorized data extraction or re-identification.
Partners can collaborate on data held in AWS or Snowflake via zero-ETL, though the service is otherwise centred on AWS.
12% of capability · What we check: The platform supports standard APIs to connect directly with major ad tech vendors, demand-side platforms, and external cloud storage providers.
Supports standard SQL-based analysis across combined datasets with configurable compute settings.
12% of capability · What we check: Users run complex SQL-based queries across joined datasets to generate custom reports without needing to move data out of storage.
AWS lists campaign activation and lookalike modelling use cases, though it offers no direct syndication to ad platforms.
10% of capability · What we check: The tool pushes segmented audience lists directly to programmatic platforms or activation channels through pre-built secure connectors.
Requires significant configuration of IAM roles and data permissions within the AWS console.
10% of capability · What we check: Technical teams complete the initial account setup, data ingestion pipeline configuration, and system testing within four weeks of deployment.
The consumption-based pricing is hard to forecast at scale and lacks fixed-cost predictability.
8% of capability · What we check: The pricing structure uses transparent usage-based or subscription fees with no hidden costs for data ingress or platform maintenance.
Reporting is limited to what the user defines via query analysis rather than out-of-the-box performance insights.
8% of capability · What we check: The dashboard displays cross-channel performance metrics and attribution data while preventing individual user tracking through differential privacy techniques.
AWS Clean Rooms scores 2.5/5 in Benchmark Grid's independent Best Data Clean Rooms for Publishers benchmark (benchmarkgrid.com/best-data-clean-rooms-for-publishers/aws-clean-rooms, verified Oct 19, 2026)
Strengths & limitations
Strengths
- Strong privacy controls with auditable analysis logs
- Flexible analysis with SQL, PySpark or custom ML
- Published pay-as-you-go pricing
Limitations
- Requires AWS expertise and configuration
- No publisher-specific features or reporting out of the box
- Costs across compute, ML and matching are hard to forecast; no free tier
Who uses it
We haven't detected any publishers running AWS Clean Rooms yet.
Cost of ownership
Pricing
Pay as you go: SQL compute at $2.00 per CRPU-hour (60-second minimum), with PySpark, ML and entity resolution priced separately; no free tier.
Pricing unclear for your setup? — we'll make the introduction. Free, and it never affects the score.
Cost data sourced from vendor pricing pages and community signals. Vendors may dispute any factor.
What users say
Users appreciate the platform’s privacy-centric data collaboration and ease of setup, though some report technical integration hurdles and express concerns regarding its complexity compared to bespoke data clean room solutions.
Sources: Reddit 36% · Blog 21% · X 21% · G2 14% · Trade press 7%
Most discussed
Recent quotes
"AWS clean rooms is one of the trending service that's been helping companies and their partners securely and easily by collaborating on their collective datasets."
Positive·G2·1mo ago
"Disney has added Amazon Web Services (AWS) and Google Cloud to the cloud services that are interoperable with its clean room."
Positive·Trade press·2y ago·via MediaPost
"AWS Clean Rooms enables us to do this by working with our advertisers to deliver personalization while protecting customer data."
Positive·Blog·2y ago·via TVNZ
"After struggling with the #AWS Clean Rooms setup, I feel some people also face similar difficulties getting into it."
Negative·X
"sometimes i felt like this service lack data privacy for some particular data"
Positive·G2·2y ago
14 mentions from 5 independent sources, each read and scored by our analyser. Mentions we could not tie to a real user, and those flagged as promotional, are excluded. Sentiment is opinion, and is independent of the verified publisher adoptions shown above.
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FAQ
How is AWS Clean Rooms scored?
AWS Clean Rooms scores 2.5 out of 5 in Benchmark Grid's independent Best Data Clean Rooms for Publishers benchmark. The overall figure blends capability (45%), publisher fit (40%) and cost of ownership (15%). Capability is itself a weighted average of 9 criteria; the heaviest are privacy & regulatory compliance (gdpr/ccpa) (14%), identity & matching quality (14%) and publisher data control & governance (12%). Vendors cannot pay for a score.
What size publisher is AWS Clean Rooms built for?
AWS Clean Rooms is built for enterprise publishers. That is the vendor's own stated target, and it is one of the inputs to our publisher-fit score — a platform that suits a national newsroom often carries more operational load than a small one can absorb.
What does AWS Clean Rooms cost?
Pay as you go: SQL compute at $2.00 per CRPU-hour (60-second minimum), with PySpark, ML and entity resolution priced separately; no free tier. Our cost-of-ownership score is 2.8/5, which weighs pricing transparency, entry cost, implementation cost, hidden-fee risk and ongoing cost. Ask the vendor for a written first-year figure that includes implementation before you commit.
Can AWS Clean Rooms pay for a better score?
No. Scores come from our editorial review of the product's documentation, demos and public evidence. A vendor can claim this listing or request a re-review, but nothing they buy changes a score or a position.
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