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Hazelcast

Unified real-time data platform combining stream processing and a fast data store for real

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Hazelcast Platform is a unified real-time data platform that combines a distributed compute engine and a fast data store in a single runtime. It is designed to help applications act on data in motion, reducing the need to integrate multiple separate software components for caching, stream processing, and distributed computing.

Key capabilities include distributed caching, stream processing, distributed compute, a CP Subsystem for strong consistency, High-Density Memory Store, SQL querying, connectors to sources such as Apache Kafka, Apache Pulsar, AWS Kinesis, and RabbitMQ, vector search, Jet Job Placement Control, Management Center, and a Security Suite. It supports Kubernetes and is cloud-agnostic, with availability on AWS, GCP, and Azure marketplaces. Features are split between Enterprise and Community Editions.

Hazelcast is intended for teams building real-time, event-driven, AI, and edge applications. It is available as self-managed software licensed on an annual subscription, or as Hazelcast Cloud, a managed service offered on a pay-as-you-go basis or through pre-paid credits.

12 alternatives to Hazelcast

Ranked by how well each tool replaces Hazelcast: shared features, audience, price and popularity.

  1. Apache Storm

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    Covers 1 of 15 key features, has a free plan and is open source.

    Free planOpen source
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  2. Apache Hadoop

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  3. Apache Helix

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  4. Cloudera

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  5. Apache Apex

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    Covers 1 of 15 key features and is open source.

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  6. MariaDB

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    Covers 1 of 15 key features, has a free plan and is open source.

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  7. Apache ActiveMQ

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    Covers 0 of 15 key features and is open source.

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    61 out of 100 match—

  8. Apache Kafka

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    Covers 2 of 15 key features and is open source.

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    61 out of 100 match—

  9. Apache Flink

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    Covers 0 of 15 key features and is open source.

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  10. Databricks

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  11. Apache CloudStack

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  12. HiveMQ

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    Covers 0 of 15 key features and has a free plan.

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