Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

Head-to-head · Message Broker Software

Apache Kafka vs Amazon SQS

  • Updated Nov 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Apache Kafka #4 in Message Broker Software 9.0/10 Open source ✓ 0 of 1 features Visit Apache Kafka
Amazon SQS #8 in Message Broker Software 8.5/10 Free plan Free plan✓ 1 of 1 features Visit Amazon SQS

Apache Kafka leads on 0 checks, Amazon SQS on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Kafka · 9.0/10
  • Free planonly Amazon SQS
  • Most featuresAmazon SQS · 1 of 1

Apache Kafka scores higher on our rubric for message broker software: 9.0 against 8.5 out of 10; our editors rank them #4 and #8.

Apache Kafka is the better fit for event streaming and stream processing. Amazon SQS is the better fit for managed AWS queues.

  • Apache Kafka fits best

    Event streaming and stream processing

  • Amazon SQS fits best

    Managed AWS queues

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Apache Kafka 9.0/10 Visit ↗ Amazon SQS 8.5/10 Visit ↗
At a glance
Editor score 9.0 8.5
Ranking #4 in Message Broker Software #8 in Message Broker Software
Best for Event streaming and stream processing Managed AWS queues
Pricing model Free Free plan + paid
Starting price Open source —
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Self-hosted Cloud
Support Community, Docs Docs
Integrations 6 integrations 8 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Apache Kafka 0/1 · Amazon SQS 1/1
Dead-letter queues Not checked yet ✓ (best)
Specs
Deployment model Not checked yet Cloud
Delivery guarantees Not checked yet Configurable
Ordering guarantees Not checked yet Per_queue
Maximum message size Not checked yet 1 MB
Supported protocols Not checked yet AWS JSON, AWS Query, HTTPS, TLS
Our review
Pros
  • Replicated event storage with configurable retention and log compaction
  • Stream processing supports joins, aggregations, filters, and transformations
  • Kafka Connect links systems including Postgres, Elasticsearch, and AWS S3
  • Standard and FIFO queues support different delivery guarantees
  • Dead-letter queues, redrive, batching, and long polling are built in
  • Integrates with Lambda, SNS, S3, DynamoDB, and other AWS services
Cons
  • Self-hosted deployment places cluster operations on the deploying organization
  • Its broad API surface can require more architecture than a narrow broker
  • Kafka Connect integrations depend on source and sink connector setup
  • Best-effort ordering applies to standard queues
  • Usage-based pricing varies by queue type and request characteristics
  • Designed for AWS environments rather than broad multi-cloud portability
Our verdict

Apache Kafka is an open-source distributed event streaming platform for data pipelines, streaming analytics, data integration systems, and mission-critical applications. It organizes events into topics and supports publishing, consuming,…

Read the review →

Amazon SQS is a fully managed cloud message queuing service for decoupling microservices, distributed systems, and serverless applications. It is suited to teams building around AWS services and accessing queues through the AWS Management…

Read the review →
  1. Apache KafkaMessage Broker Software 9.0Open source
  2. Amazon SQSMessage Broker Software 8.5Free plan

Strengths and trade-offs

  • Apache Kafka — where it wins

    • Replicated event storage with configurable retention and log compaction
    • Stream processing supports joins, aggregations, filters, and transformations
    • Kafka Connect links systems including Postgres, Elasticsearch, and AWS S3

    Where it doesn't

    • Self-hosted deployment places cluster operations on the deploying organization
    • Its broad API surface can require more architecture than a narrow broker
    • Kafka Connect integrations depend on source and sink connector setup

  • Amazon SQS — where it wins

    • Standard and FIFO queues support different delivery guarantees
    • Dead-letter queues, redrive, batching, and long polling are built in
    • Integrates with Lambda, SNS, S3, DynamoDB, and other AWS services

    Where it doesn't

    • Best-effort ordering applies to standard queues
    • Usage-based pricing varies by queue type and request characteristics
    • Designed for AWS environments rather than broad multi-cloud portability

More comparisons

All message broker software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

Last updated · How we research and update