Debezium vs Google Cloud Datastream

DDebezium9.4Visit Google Cloud Datastream8.6Visit

Higher score D Debezium #1 in Change Data Capture Software 9.4/10 Open source ✓ 0 of 2 features Visit Debezium

vs

Google Cloud Datastream #6 in Change Data Capture Software 8.6/10 Free plan Free plan✓ 0 of 2 features Visit Google Cloud

• Debezium fits best

  Broad, self-hosted CDC deployments

• Google Cloud Datastream fits best

  Google Cloud data replication

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Side by side

Feature	DDebezium 9.4/10 Visit ↗	Google Cloud Datastream 8.6/10 Visit ↗
At a glance
Editor score	9.4	8.6
Ranking	#1 in Change Data Capture Software	#6 in Change Data Capture Software
Best for	Broad, self-hosted CDC deployments	Google Cloud data replication
Pricing model	Free	Free plan + paid
Starting price	Open source	—
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Self-hosted	Cloud
Platforms	Windows, Linux	Web
Support	Live chat, Community, Docs	Community, Docs
Integrations	12 integrations	6 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Debezium 0/2 · Google Cloud Datastream 0/2
Schema evolution	Not checked yet	Not checked yet
Initial snapshot	Not checked yet	Not checked yet
Specs
Deployment model	Not checked yet	Not checked yet
Capture method	Not checked yet	Not checked yet
Source connectors	Not checked yet	Not checked yet
Destination connectors	Not checked yet	Not checked yet
Our review
Pros	Captures continuous row- and document-level database changes Supports Kafka Connect, Debezium Server, and embedded engine deployments Connects with Kafka, Kinesis, Pub/Sub, Event Hubs, Pulsar, and more	Supports CDC, historical backfills, and near-real-time replication Handles schema drift with a versioned schema registry Offers private connectivity, autoscaling, and Dataflow integration
Cons	Requires self-managed deployment and operational ownership Replication is limited to one-way data flows Does not include AI features	Replication is one-way rather than bidirectional Deployment is cloud-based rather than self-hosted Destination focus centers on Google Cloud services
Our verdict	Debezium is an open-source distributed change data capture platform for teams that need database changes delivered as event streams. It continuously captures row-level changes from relational databases and document-level changes from… Read the review →	Google Cloud Datastream is a serverless change data capture and replication service for teams moving database and application data into Google Cloud. It captures historical records plus ongoing inserts, updates, and deletes, supporting… Read the review →

Strengths and trade-offs

• Debezium — where it wins

  • Captures continuous row- and document-level database changes
  • Supports Kafka Connect, Debezium Server, and embedded engine deployments
  • Connects with Kafka, Kinesis, Pub/Sub, Event Hubs, Pulsar, and more

  Where it doesn't

  • Requires self-managed deployment and operational ownership
  • Replication is limited to one-way data flows
  • Does not include AI features

• Google Cloud Datastream — where it wins

  • Supports CDC, historical backfills, and near-real-time replication
  • Handles schema drift with a versioned schema registry
  • Offers private connectivity, autoscaling, and Dataflow integration

  Where it doesn't

  • Replication is one-way rather than bidirectional
  • Deployment is cloud-based rather than self-hosted
  • Destination focus centers on Google Cloud services

• DDebezium9.4/10 · Open source

  A flexible, self-hosted CDC platform for streaming database changes across broad ecosystems.

  Visit DebeziumFull verdict →
• Google Cloud Datastream8.6/10 · Free plan

  A cloud-focused CDC service for near-real-time replication into Google Cloud destinations.

  Visit Google CloudFull verdict →