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Head-to-head · Stream Processing Software

Amazon Managed Service for Apache Flink vs Google Cloud Dataflow

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Amazon Managed Service for Apache Flink #1 in Stream Processing Software 9.3/10 Paid ✓ 3 of 3 features Visit AWS
Google Cloud Dataflow #4 in Stream Processing Software 9.0/10 Paid ✓ 0 of 3 features Visit Google Cloud

Amazon Managed Service for Apache Flink leads on 0 checks, Google Cloud Dataflow on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon Managed Service for Apache Flink · 9.3/10
  • Most featuresAmazon Managed Service for Apache Flink · 3 of 3

Amazon Managed Service for Apache Flink scores higher on our rubric for stream processing software: 9.3 against 9.0 out of 10; our editors rank them #1 and #4.

Amazon Managed Service for Apache Flink is the better fit for AWS teams wanting managed Flink. Google Cloud Dataflow is the better fit for google Cloud teams running managed pipelines.

  • Amazon Managed Service for Apache Flink fits best

    AWS teams wanting managed Flink

  • Google Cloud Dataflow fits best

    Google Cloud teams running managed pipelines

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Side by side

Feature Amazon Managed Service for Apache Flink 9.3/10 Visit ↗ Google Cloud Dataflow 9.0/10 Visit ↗
At a glance
Editor score 9.3 9.0
Ranking #1 in Stream Processing Software #4 in Stream Processing Software
Best for AWS teams wanting managed Flink Google Cloud teams running managed pipelines
Pricing model Paid Paid
Starting price $0.11/unit usage-based Not checked yet
Free plan — —
Free trial — —
Deployment Cloud Cloud
Platforms Web Web
Support Docs Docs, Community, Live chat, Phone, Tickets
Integrations 40+ integrations 14 integrations
Built for Mid-market, Enterprise Mid-market, Enterprise
Features Amazon Managed Service for Apache Flink 3/3 · Google Cloud Dataflow 0/3
SQL processing ✓ (best) Not checked yet
Stateful processing ✓ (best) Not checked yet
Event-time windows ✓ (best) Not checked yet
Specs
Deployment model Cloud Not checked yet
Supported languages Java, Scala, Python, SQL Not checked yet
Source connectors Not checked yet Not checked yet
Our review
Pros
  • Automatic scaling based on throughput and processing complexity
  • Stateful exactly-once processing with checkpoints and durable snapshots
  • Integrations with Kinesis, MSK, S3, DynamoDB, and OpenSearch
  • 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
Cons
  • No free plan is available
  • Usage starts at $0.11 per KPU-hour
  • Storage and durable backups are billed separately
  • Usage-based pricing does not provide fixed subscription tiers
  • No free plan is listed
  • Cloud deployment may not suit teams seeking self-hosted processing
Our verdict

Amazon Managed Service for Apache Flink is a cloud service for building, deploying, and operating real-time stream-processing applications with Apache Flink. It supports Java, Scala, Python, and SQL, making it suitable for AWS teams…

Read the review →

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 →
  1. Amazon Managed Service for Apache FlinkStream Processing Software 9.3Paid
  2. Google Cloud DataflowStream Processing Software 9.0Paid

Strengths and trade-offs

  • Amazon Managed Service for Apache Flink — where it wins

    • Automatic scaling based on throughput and processing complexity
    • Stateful exactly-once processing with checkpoints and durable snapshots
    • Integrations with Kinesis, MSK, S3, DynamoDB, and OpenSearch

    Where it doesn't

    • No free plan is available
    • Usage starts at $0.11 per KPU-hour
    • Storage and durable backups are billed separately

  • 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
  • Amazon Managed Service for Apache Flink9.3/10 · Paid

    A managed Flink service for AWS teams building stateful real-time data pipelines.

    Visit AWSFull verdict →
  • Google Cloud Dataflow9.0/10 · Paid

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

    Visit Google CloudFull verdict →

More comparisons

All stream processing software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update