AWS Clean Rooms vs Placino
AWS Clean Rooms
aws.amazon.comPlacino
placino.comSide by side
| Figure | AWS Clean Rooms | Placino |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · Data Clean Room Software | 7.3 (#10) | 7.2 (#14) |
| Privacy controls | Privacy features include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions, and query logging. | The platform describes differential privacy, k-anonymity suppression, per-query privacy budgets, and column-level permissions. |
| Support | The AWS Clean Rooms site provides an option to contact an AWS Clean Rooms expert. | The About page says customers can speak directly with the engineers who built the system. |
| Use cases | AWS lists advertising campaign insights, investment decisions, research and development, customer insights, and reporting among its use cases. | The platform supports audience overlap analysis, campaign lift measurement, and shared-audience activation. |
Plans
Placino
- FreeFree
- EnterprisePriced on request
- GrowthPriced on request
- NetworkPriced on request
- PilotPriced on request
In their own words
AWS Clean Rooms
AWS Clean Rooms lets companies analyze collective datasets without exchanging or copying the underlying data. Multiple companies can contribute to one collaboration while retaining data in their own accounts. Customers can permission AWS data and work with partner datasets in Snowflake and AWS through zero-ETL. Analysis supports SQL, Spark SQL, PySpark and machine learning. AWS lists advertising insights, investment decisions, research and development, customer insights and reporting as use cases. Privacy controls include fine-grained analysis rules, differential privacy, cryptographic computing, output restrictions and query logging. Clean Rooms ML supports custom and lookalike modeling; custom modeling allows collaborators to bring a model for training and inference without sharing underlying data or intellectual property. Access is available through the console, API, SDKs and command line. AWS lists availability in 11 Regions. Pricing is pay-as-you-go by capability and Region, with stated minimum charges for Spark SQL and PySpark. No free plan is available.
Placino
Placino is a data clean room platform for organizations that want to analyze shared data without exposing raw customer records. Its listed uses include audience overlap analysis, campaign lift measurement and shared-audience activation. Data can arrive through web uploads, SFTP, HTTP streaming API, Kafka, S3, MinIO or scheduled database pulls. Listed database sources include PostgreSQL, MySQL, Oracle, SQL Server, BigQuery, Snowflake, Redshift and ClickHouse. Users can query through templates, custom SQL, a visual builder or natural-language AI text-to-SQL. Privacy controls include differential privacy, k-anonymity suppression, per-query privacy budgets and column-level permissions. Placino says uploads are encrypted at rest with AES-256-GCM, with encryption keys wrapped using RSA-4096. It maps controls to GDPR, CCPA/CPRA, KVKK, HIPAA and SOC 2, while stating that it has not achieved SOC 2 Type II attestation. The free plan is free and includes 500K datapoints per month, one clean room and up to three partners. Placino is based in Dubai and describes its intended customers as enterprises, including retail, financial services, telecommunications, healthcare and pharma.