BigQuery Data Clean Rooms vs Striim
BigQuery Data Clean Rooms
cloud.google.comStriim
striim.comSide by side
| Figure | BigQuery Data Clean Rooms | Striim |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 3 |
| Spec score · Data Migration Tools | 7.7 (#9) | 7.4 (#11) |
| Headquarters | Mountain View, California, United States | Palo Alto, California, United States |
Plans
BigQuery Data Clean Rooms
- Data contributorPriced on request
- Data clean room subscriberPriced on request
Striim
- Striim DeveloperFree
- Striim CloudPriced on request
- Striim PlatformPriced 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.
Striim
Striim is a change data capture and streaming platform for integrating data across databases, applications, and clouds in real time. Its distributed streaming SQL supports continuous queries and joins with historical caches, with processing described at a scale of up to billions of events per minute. Striim can capture schema changes and lets users choose how consumers propagate them, or halt and alert for manual resolution. Monitoring covers pipeline health, end-to-end latency, and table-level metrics, and REST APIs support integration. Striim says it connects hundreds of enterprise sources and targets, including Oracle, Kafka, Salesforce, Snowflake, and Google BigQuery. Striim Cloud is managed and available on AWS, Google Cloud, and Microsoft Azure; Striim Platform can run on-premise or in a self-managed cloud. The free Developer plan is capped at 25 million events per month and includes trial access to premium, standard, and more than 200 preview application connectors. Cloud and Platform pricing requires contacting Striim.