EVERYTHING XIAOMI
Get listed
Side by side

Google Cloud Datastream vs Tungsten Replicator

What both publish

FactGoogle Cloud DatastreamTungsten Replicator
IntegrationsDatastream integrates with Dataflow templates to load data from Cloud Storage into destinations including BigQuery, Cloud SQL, and Spanner.Listed targets include MySQL, Oracle, PostgreSQL, Amazon Redshift, HPE Vertica, Hadoop, MongoDB, Apache Kafka, and Amazon S3.
PurposeDatastream is a serverless change data capture and replication service for synchronizing data with minimal latency.Tungsten Replicator moves data between databases and other transactional, NoSQL, and data warehouse stores.
Replication modesA stream can capture ongoing changes and backfill historical data from its source.It supports statement based and row based replication, assigning transactions a unique global transaction ID.
SourcesDocumented sources include Oracle, MySQL, PostgreSQL, AlloyDB, SQL Server, MongoDB, Spanner, Salesforce, ServiceNow, Workday, and Microsoft Dataverse, with some listed as preview.Documented extraction sources include MySQL, Amazon RDS MySQL, Amazon Aurora, Microsoft Azure, and Google Cloud SQL.

Google Cloud Datastream plans

  • Datastream Free TierFree
  • Datastream backfill$0.40 a month
  • Datastream CDC$2 a month

Tungsten Replicator plans

  • Tungsten Replicator (standalone)Priced on request

Pick Google Cloud Datastream if…

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.

Pick Tungsten Replicator if…

It suits teams that need to capture and replicate database changes across multiple systems or regions, including hybrid environments. Linux is the listed platform.

Charts they share