
Google Cloud Datastream
Summary
Google Cloud Datastream is a serverless service for capturing and replicating data changes, with streams able to copy ongoing updates and backfill historical data. It scales automatically without requiring users to provision or manage resources. Documented sources include Oracle, MySQL, PostgreSQL, AlloyDB, SQL Server, MongoDB, Spanner, Salesforce, ServiceNow, Workday, and Microsoft Dataverse, with some sources marked as preview. Destinations include BigQuery, Cloud Storage, and Apache Iceberg tables. Datastream also works with Dataflow templates to load Cloud Storage data into services such as BigQuery, Cloud SQL, and Spanner. Connectivity options include IP allowlisting, an SSH tunnel, and private VPC peering. Buffered data is encrypted at rest; replicated data follows destination security controls. Data is charged when processed, idle streams incur no charge, and other Google Cloud resources are billed separately. Events are delivered at least once, but their order is not guaranteed. A free tier covers 100 GiB of eligible CDC data per month per billing account.
Who it is for
Datastream suits teams that need cloud-based one-way change capture, replication, migration, or synchronization across its supported sources and destinations. It can also serve analytics and event-driven use cases.
What is good
- Captures ongoing changes and backfills historical data
- Scales automatically without managed resources
- Supports multiple connectivity methods
- Idle streams incur no processing cost
What to know first
- Events are not guaranteed to arrive in order
- Processed data incurs charges
- Other Google Cloud resources are billed separately
- Some documented sources are marked as preview
Verdict
Datastream offers automated change capture and replication with a free tier and several connectivity options. Account for processing charges and the lack of event-order guarantees when evaluating it.
Google Cloud Datastream plans and pricing
All plansCompared on database replication software
- Free plan
- Yescloud.google.com
Facts
- Purpose
- Datastream is a serverless change data capture and replication service for synchronizing data with minimal latency.docs.cloud.google.com · 30 Sept 2026
- Replication modes
- A stream can capture ongoing changes and backfill historical data from its source.cloud.google.com · 30 Sept 2026
- Serverless
- Datastream requires no resources to provision or manage and scales up or down automatically.docs.cloud.google.com · 30 Sept 2026
- Sources
- Documented sources include Oracle, MySQL, PostgreSQL, AlloyDB, SQL Server, MongoDB, Spanner, Salesforce, ServiceNow, Workday, and Microsoft Dataverse, with some listed as preview.docs.cloud.google.com · 30 Sept 2026
- Destinations
- Supported destinations are BigQuery, Cloud Storage, and Apache Iceberg tables.docs.cloud.google.com · 30 Sept 2026
- Integrations
- Datastream integrates with Dataflow templates to load data from Cloud Storage into destinations including BigQuery, Cloud SQL, and Spanner.docs.cloud.google.com · 30 Sept 2026
- Connectivity
- Connectivity options include IP allowlisting, a forward SSH tunnel, and private connectivity over VPC peering.docs.cloud.google.com · 30 Sept 2026
- Encryption
- Buffered data is encrypted at rest, and replicated data is encrypted by default using destination security controls.docs.cloud.google.com · 30 Sept 2026
- Credentials
- User metadata is encrypted in transit and at rest, and access to it is tracked and audited.docs.cloud.google.com · 30 Sept 2026
- Processing costs
- Datastream charges for processed data; idle streams incur no cost, and other Google Cloud resources used are billed separately.cloud.google.com · 30 Sept 2026
- Event delivery
- Events are delivered at least once and their order is not guaranteed.docs.cloud.google.com · 30 Sept 2026
- Event size limits
- The documented event size limit is 20 MB for BigQuery destinations and 100 MB for Cloud Storage destinations.docs.cloud.google.com · 30 Sept 2026
- Use cases
- Google identifies analytics, database replication, migration, synchronization, and event-driven architectures as Datastream use cases.docs.cloud.google.com · 30 Sept 2026
- Administration
- Datastream can be administered through the Google Cloud console, Google Cloud CLI, and REST API.docs.cloud.google.com · 30 Sept 2026
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Sources
- docs.cloud.google.com/datastream/docs· checked 30 Sept 2026
- cloud.google.com/datastream/pricing· checked 30 Sept 2026
- docs.cloud.google.com/datastream/docs/overview· checked 30 Sept 2026
- docs.cloud.google.com/datastream/docs/sources· checked 30 Sept 2026
- docs.cloud.google.com/datastream/docs/destinations· checked 30 Sept 2026
- docs.cloud.google.com/datastream/docs/faq· checked 30 Sept 2026
- docs.cloud.google.com/datastream/docs/behavior-overview· checked 30 Sept 2026
- docs.cloud.google.com/datastream/docs/use-the-datastream-api· checked 30 Sept 2026






