Serverless and easy-to-use change data capture and replication service.
Access to streaming, low-latency data from MySQL, PostgreSQL, AlloyDB, and Oracle databases
Easy-to-use setup with built-in secure connectivity for faster time to value
Serverless platform that automatically scales, with no resources to provision or manage
Secure foundation for database synchronization and event-driven architectures
Synchronize data across heterogeneous databases, storage systems, and applications reliably, with low latency, while minimizing impact on source performance.
Get up and running fast with a serverless and easy-to-use service that seamlessly scales up or down, and has no infrastructure to manage.
Datastream reads and delivers every change—insert, update, and delete—from your MySQL, PostgreSQL, AlloyDB and Oracle databases to load data into BigQuery, Cloud SQL, Cloud Storage, and Cloud Spanner. Agentless and Google-native, it reliably streams every event as it happens. Datastream processes over half a trillion events per month.
Datastream normalizes every event’s data type from the source database’s type into a unified Datastream type. This lossless data type normalization across sources means easier downstream processing in a source-agnostic way, regardless of where the data originated.
As source schemas change, Datastream allows for fast and seamless schema drift resolution. Datastream rotates files, creating a new file in the destination bucket, on every schema change. Original source data types are just an API-call away with an up-to-date, versioned Schema Registry.
Datastream supports multiple secure, private connectivity methods to protect data in transit. In addition, data is encrypted in transit and at rest so you can rest easy knowing your data is protected as it streams.
Change data capture integrates data by reading change events (inserts, updates, and deletes) from source databases and writing them to a data destination, so action can be taken. Datastream supports change streams from Oracle and MySQL databases into BigQuery, Cloud SQL, Cloud Storage, and Cloud Spanner, enabling real-time analytics, database replication, and other use cases. Additional sources and destinations are coming in the future.
Datastream pricing is calculated based upon actual monthly data processed. Additional pricing details are available on the Datastream pricing page.
Additional resources like Cloud Storage, Dataflow, and BigQuery are billed per that service’s pricing.
Google Cloud partners can help you get the most out of your data with Datastream.
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