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Head-to-head · Stream Processing Software

Apache Flink vs Hazelcast Platform

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Apache Flink #2 in Stream Processing Software 9.2/10 Free plan Free plan✓ 3 of 3 features Visit Apache Flink
Hazelcast Platform #10 in Stream Processing Software 8.3/10 Free plan Free plan✓ 3 of 3 features Visit Hazelcast

Apache Flink leads on 0 checks, Hazelcast Platform 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 scoreApache Flink · 9.2/10
  • Free planboth

Apache Flink scores higher on our rubric for stream processing software: 9.2 against 8.3 out of 10; our editors rank them #2 and #10.

On deployment model, Hazelcast Platform gives you Hybrid where Apache Flink offers Self-hosted.

Apache Flink is the better fit for teams needing a full-featured open stream engine. Hazelcast Platform is the better fit for teams needing streaming plus distributed state.

  • Apache Flink fits best

    Teams needing a full-featured open stream engine

  • Hazelcast Platform fits best

    Teams needing streaming plus distributed state

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 Flink 9.2/10 Visit ↗ Hazelcast Platform 8.3/10 Visit ↗
At a glance
Editor score 9.2 8.3
Ranking #2 in Stream Processing Software #10 in Stream Processing Software
Best for Teams needing a full-featured open stream engine Teams needing streaming plus distributed state
Pricing model Free Free plan + paid
Starting price Free plan —
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted
Support Docs Tickets, Community, Docs · 24/7
Integrations 15 integrations 30+ integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache Flink 3/3 · Hazelcast Platform 3/3
SQL processing ✓ ✓
Stateful processing ✓ ✓
Event-time windows ✓ ✓
Specs
Deployment model Self-hosted Hybrid
Supported languages Java, Python, Scala Java, SQL
Source connectors 7 Not checked yet
Our review
Pros
  • Stateful processing with event-time windows and late-data handling
  • Exactly-once consistency with checkpoint-based recovery
  • SQL, DataStream API, and broad connector support
  • Stream processing with SQL windows, joins, and stateful aggregations
  • Distributed in-memory storage supports real-time application architectures
  • Broad connectors and exactly-once or at-least-once guarantees
Cons
  • Self-hosted operation requires team-managed deployment and infrastructure
  • Deployment options center on standalone, Kubernetes, and YARN
  • DataStream programs are Java-based
  • Enterprise Edition pricing requires contacting Hazelcast
  • Supported programming languages are Java and SQL
  • The platform may exceed the needs of teams seeking narrow stream processing
Our verdict

Apache Flink is an open-source distributed processing engine for bounded and unbounded data streams. It is designed for engineering and data-platform teams building event-driven applications, streaming analytics, data pipelines, and ETL…

Read the review →

Hazelcast Platform combines a distributed stream-processing engine with an in-memory data store for real-time applications. It is aimed at teams that need streaming and distributed state in one self-managed platform, with support for…

Read the review →
  1. Apache FlinkStream Processing Software 9.2Free plan
  2. Hazelcast PlatformStream Processing Software 8.3Free plan

Strengths and trade-offs

  • Apache Flink — where it wins

    • Stateful processing with event-time windows and late-data handling
    • Exactly-once consistency with checkpoint-based recovery
    • SQL, DataStream API, and broad connector support

    Where it doesn't

    • Self-hosted operation requires team-managed deployment and infrastructure
    • Deployment options center on standalone, Kubernetes, and YARN
    • DataStream programs are Java-based

  • Hazelcast Platform — where it wins

    • Stream processing with SQL windows, joins, and stateful aggregations
    • Distributed in-memory storage supports real-time application architectures
    • Broad connectors and exactly-once or at-least-once guarantees

    Where it doesn't

    • Enterprise Edition pricing requires contacting Hazelcast
    • Supported programming languages are Java and SQL
    • The platform may exceed the needs of teams seeking narrow stream processing

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