BigQuery Data Clean Rooms vs Placino
BigQuery Data Clean Rooms
cloud.google.comPlacino
placino.comSide by side
| Figure | BigQuery Data Clean Rooms | Placino |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Plans published | 2 | 5 |
| Spec score · Data Clean Room Software | 7.6 (#6) | 7.2 (#14) |
| Headquarters | Mountain View, California, United States | Dubai, United Arab Emirates |
| Privacy controls | Contributors can configure analysis rules, including an aggregation threshold rule that allows subscribers to analyze data only through aggregation queries. | The platform describes differential privacy, k-anonymity suppression, per-query privacy budgets, and column-level permissions. |
| Use cases | Google lists campaign planning, measurement and attribution, activation, retail, financial services, healthcare, and supply chain use cases. | The platform supports audience overlap analysis, campaign lift measurement, and shared-audience activation. |
Plans
BigQuery Data Clean Rooms
- Data contributorPriced on request
- Data clean room subscriberPriced on request
Placino
- FreeFree
- EnterprisePriced on request
- GrowthPriced on request
- NetworkPriced on request
- PilotPriced on request
In their own words
BigQuery Data Clean Rooms
BigQuery Data Clean Rooms let multiple parties share, join, and analyze data without moving or revealing the underlying data. The cloud service works with BigQuery sharing, and shared resources must be BigQuery tables, views, or table-valued functions. Owners manage rooms, contributors publish data, and subscribers query it. Contributors can apply analysis rules, including aggregation thresholds, and owners or publishers can offer predefined query templates without exposing the underlying tables or views. Subscribers are automatically prevented from copying or exporting raw data, while contributors can configure controls for query results. These controls have limits: Google cautions that analysis rules may not stop sophisticated queries from extracting unauthorized data, and notes that rules can be set only on views. Each room can contain at most 100 shared resources. Availability is restricted to BigQuery sharing regions, without listings across multiple regions. Rooms can be managed in the Google Cloud console or created through the API; setup requires enabling the Analytics Hub API and assigning required IAM roles. Contributors pay for storage, while subscribers pay for compute when running queries.
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.