Amazon Managed Service for Apache Flink vs Apache Beam

Amazon Managed Service for Apache Flink9.3Visit Apache Beam8.7Visit

Higher score Amazon Managed Service for Apache Flink #1 in Stream Processing Software 9.3/10 Paid ✓ 3 of 3 features Visit AWS

vs

Apache Beam #7 in Stream Processing Software 8.7/10 Open source ✓ 0 of 3 features Visit Apache Beam

• Amazon Managed Service for Apache Flink fits best

  AWS teams wanting managed Flink

• Apache Beam fits best

  Portable batch and streaming pipelines

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Side by side

Feature	Amazon Managed Service for Apache Flink 9.3/10 Visit ↗	Apache Beam 8.7/10 Visit ↗
At a glance
Editor score	9.3	8.7
Ranking	#1 in Stream Processing Software	#7 in Stream Processing Software
Best for	AWS teams wanting managed Flink	Portable batch and streaming pipelines
Pricing model	Paid	Free
Starting price	$0.11/unit usage-based	Open source
Free plan	—	Not checked yet
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web, Windows, macOS, Linux
Support	Docs	Community, Docs
Integrations	40+ integrations	15 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Amazon Managed Service for Apache Flink 3/3 · Apache Beam 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	Unifies batch and streaming pipelines with event-time windowing Supports Java, Python, Go, SQL, and cross-language pipelines Runs through Flink, Spark, Dataflow, or the local Direct Runner
Cons	No free plan is available Usage starts at $0.11 per KPU-hour Storage and durable backups are billed separately	Execution depends on selecting and operating a compatible runner CDC capabilities vary by connector and runner Requires developer-led pipeline construction rather than hosted ETL workflows
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 →	Apache Beam is an open-source programming model for building batch and streaming data-processing pipelines. It is aimed at developers and data teams working across local, on-premises, hybrid, and managed cloud environments. Teams can… Read the review →

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

• Apache Beam — where it wins

  • Unifies batch and streaming pipelines with event-time windowing
  • Supports Java, Python, Go, SQL, and cross-language pipelines
  • Runs through Flink, Spark, Dataflow, or the local Direct Runner

  Where it doesn't

  • Execution depends on selecting and operating a compatible runner
  • CDC capabilities vary by connector and runner
  • Requires developer-led pipeline construction rather than hosted ETL workflows

• 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 →
• Apache Beam8.7/10 · Open source

  A portable framework for teams building batch and streaming pipelines across multiple runners.

  Visit Apache BeamFull verdict →