Amazon ElastiCache vs Hazelcast: Which Alternative is Best? (2026)

Amazon ElastiCache is a fully managed service provided by AWS and does not support self-hosting. If you need a self-hosted Redis or Memcached solution, you would have to deploy and manage the cache servers yourself on EC2 or other infrastructure outside of ElastiCache.

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No, ElastiCache requires a live network connection to AWS since it is a managed caching service running in AWS data centers. It does not provide offline or local caching capabilities on client devices or outside the AWS environment.

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Data stored in Amazon ElastiCache remains the property of the AWS account holder using the service. AWS acts as the data processor under their shared responsibility model, and customers are responsible for securing data access via IAM policies and encryption options. AWS does not access or use your data beyond operational needs.

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ElastiCache supports most standard Redis and Memcached commands, but some features may be limited or unavailable due to the managed environment. For example, certain Redis modules or commands that require server-side extensions are not supported. Also, ElastiCache enforces some operational limits like max connections and memory usage based on node types.

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For Redis, you can use the standard RDB snapshot export feature to backup and migrate data to another Redis instance. For Memcached, since it is an in-memory cache without persistence, migration typically involves application-level cache warming or data reload. ElastiCache supports automated backups for Redis but not Memcached.

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Self-hosting Hazelcast involves deploying a cluster of nodes that communicate over the network, requiring configuration for clustering, partitioning, and failover. Unlike single-node Redis setups, Hazelcast demands more operational overhead to manage its distributed data grid features, including JVM tuning and network settings. However, Hazelcast provides detailed documentation and management tools to ease cluster monitoring and scaling.

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Hazelcast is primarily designed as a distributed in-memory data grid requiring network connectivity between cluster members. It does not natively support offline or disconnected operation modes. For edge use cases, Hazelcast clients can cache data locally but full cluster synchronization and compute features need an active network connection.

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When self-hosted on-premises, Hazelcast ensures full data ownership and control remain with the deploying organization. All data resides within the cluster nodes you manage, with no external cloud dependencies unless explicitly configured. This setup supports compliance and governance requirements by keeping data local and under your security policies.

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Hazelcast provides a Redis-compatible protocol module that supports many common Redis commands, but it is not a full Redis clone. Some Redis commands, especially those related to Lua scripting and certain data types, may not be supported or behave differently. Migration requires testing and possibly adapting application code to Hazelcast’s APIs and data structures for full feature use.

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Hazelcast supports exporting data through its Management Center tools, REST APIs, or by writing custom serialization logic to persist data to external stores like databases or filesystems. For migration, you can use Hazelcast Jet for data pipelines or export snapshots of the cluster state. However, there is no built-in one-click export; migration requires planning based on your data model and target system.

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