Google Cloud Dataflow vs Confluent Cloud

Google Cloud Dataflow9.0Visit Confluent Cloud8.8Visit

Higher score Google Cloud Dataflow #4 in Stream Processing Software 9.0/10 Paid ✓ 0 of 3 features Visit Google Cloud

vs

Confluent Cloud #6 in Stream Processing Software 8.8/10 Free plan · 30-day trial Free planFree trial✓ 0 of 3 features Try Confluent Cloud

• Google Cloud Dataflow fits best

  Google Cloud teams running managed pipelines

• Confluent Cloud fits best

  Enterprises needing managed Kafka and streaming

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Side by side

Feature	Google Cloud Dataflow 9.0/10 Visit ↗	Confluent Cloud 8.8/10 Visit ↗
At a glance
Editor score	9.0	8.8
Ranking	#4 in Stream Processing Software	#6 in Stream Processing Software
Best for	Google Cloud teams running managed pipelines	Enterprises needing managed Kafka and streaming
Pricing model	Paid	Free plan + paid
Starting price	Not checked yet	$385/mo
Free plan	—	✓ (best)
Free trial	—	30 days
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs, Community, Live chat, Phone, Tickets	Tickets, Community, Docs · 24/7
Compliance	SOC 2, ISO 27001	SOC 2, ISO 27001, GDPR, PCI DSS, SSO/SAML
Integrations	14 integrations	150+ integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Google Cloud Dataflow 0/3 · Confluent Cloud 0/3
SQL processing	Not checked yet	Not checked yet
Stateful processing	Not checked yet	Not checked yet
Event-time windows	Not checked yet	Not checked yet
Specs
Deployment model	Not checked yet	Cloud
Supported languages	Not checked yet	Not checked yet
Source connectors	Not checked yet	Not checked yet
Our review
Pros	Runs both batch and streaming pipelines with autoscaling Supports managed Beam connectors, CDC templates, SQL, and Python Connects with Google Cloud, databases, Kafka, and analytics tools	Managed Kafka, autoscaling, and 80+ fully managed connectors Schema Registry, governance, TLS, RBAC, ACLs, and SAML/SSO Apache Flink stream processing across AWS, Azure, and Google Cloud
Cons	Usage-based pricing does not provide fixed subscription tiers No free plan is listed Cloud deployment may not suit teams seeking self-hosted processing	Paid plans start at $385 per month Consumption-based billing varies by region and resource usage Cloud deployment may not suit teams requiring another deployment model
Our verdict	Google Cloud Dataflow is a managed service for running Apache Beam pipelines across batch and streaming workloads. It is aimed at engineering and data teams building scalable processing and integration workflows, with support for Java,… Read the review →	Confluent Cloud is a cloud-native, fully managed Apache Kafka service for organizations building real-time data pipelines, event-driven applications, streaming analytics, and data integrations. It combines managed Kafka clusters with Kafka… Read the review →

Strengths and trade-offs

• Google Cloud Dataflow — where it wins

  • Runs both batch and streaming pipelines with autoscaling
  • Supports managed Beam connectors, CDC templates, SQL, and Python
  • Connects with Google Cloud, databases, Kafka, and analytics tools

  Where it doesn't

  • Usage-based pricing does not provide fixed subscription tiers
  • No free plan is listed
  • Cloud deployment may not suit teams seeking self-hosted processing

• Confluent Cloud — where it wins

  • Managed Kafka, autoscaling, and 80+ fully managed connectors
  • Schema Registry, governance, TLS, RBAC, ACLs, and SAML/SSO
  • Apache Flink stream processing across AWS, Azure, and Google Cloud

  Where it doesn't

  • Paid plans start at $385 per month
  • Consumption-based billing varies by region and resource usage
  • Cloud deployment may not suit teams requiring another deployment model

• Google Cloud Dataflow9.0/10 · Paid

  A broad managed service for Apache Beam pipelines, CDC, and cloud data integration.

  Visit Google CloudFull verdict →
• Confluent Cloud8.8/10 · Free plan · 30-day trial

  A broad managed Kafka service with connectors, governance, Flink, and enterprise controls.

  Try Confluent CloudFull verdict →