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dsync vs Google Cloud Datastream

Both stand on database replication software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

dsync

Free plan LinuxMacSelf-hosted+2

dsync offers migration, change capture, verification and resumability with a self-hosted open source edition. Check connector status and the DDL, index and read-plan limits against your data workflow.

Visit dsync

Google Cloud Datastream

Free plan APIWeb

Datastream provides serverless change capture and replication to several Google Cloud destinations, with a free tier for specified source and destination combinations. Check event ordering, size limits, and processing charges against the needs of your data flow.

Visit Google Cloud Datastream

The facts

dsyncGoogle Cloud Datastream
Free planYesYes
Open sourceNot publishedNot published
Runs onLinux, Mac, Self-hosted, Web, WindowsAPI, Web
Lowest paid planFree or on requestSee the plans
Plans published23
MakerNot publishedNot published
Websiteadiom.iocloud.google.com
On database replication software#5 of 32#9 of 32

dsync: what it does well

  • Supports one-time migrations and continuous replication.
  • Can resume copies from saved state.
  • Offers count-based and hash-based integrity checks.
  • Runs as a single binary in several environments.
  • Supports transformations through external gRPC-connected processes.

What to know first

  • Does not replicate source DDL statements or indexes.
  • Open source read plans have a 16 MB cap with metadata-store resumability.
  • Several connectors are still in preview or development.

Google Cloud Datastream: what it does well

  • Free tier covers 100 GiB of eligible CDC data monthly.
  • Streams can capture ongoing changes and backfill history.
  • Scales automatically without resource provisioning or management.
  • Offers IP allowlisting, SSH tunneling, and private VPC peering.
  • Buffered data is encrypted at rest.

What to know first

  • Event order is not guaranteed.
  • Other Google Cloud resources are billed separately.
  • Documented event limits are 20 MB for BigQuery and 100 MB for Cloud Storage.
  • Some listed sources are preview.

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