H2 Database Engine vs Hazelcast

Compare features, pricing, and capabilities to find which solution is best for your needs.

H2 Database Engine

H2 Database Engine is a fast, open-source, Java-based relational database management system, ideal for embedded and stand-alone applications. It supports standard SQL and offers both disk-based and in-memory database options.

Open Source

Platforms: Mac OS X Windows Linux

Alternatives Details Website

Hazelcast

Hazelcast is a leading open-source distributed in-memory data grid and stream processing platform designed for high-performance, low-latency applications. It provides incredibly fast data access and processing by keeping data in RAM across a cluster of machines, enabling real-time responsiveness. by Hazelcast, Inc.

Open Source

Platforms: Mac OS X Windows Linux

Alternatives Details Website

Comparison Summary

H2 Database Engine and Hazelcast are both powerful solutions in their space. H2 Database Engine offers h2 database engine is a fast, open-source, java-based relational database management system, ideal for embedded and stand-alone applications. it supports standard sql and offers both disk-based and in-memory database options., while Hazelcast provides hazelcast is a leading open-source distributed in-memory data grid and stream processing platform designed for high-performance, low-latency applications. it provides incredibly fast data access and processing by keeping data in ram across a cluster of machines, enabling real-time responsiveness.. Compare their features and pricing to find the best match for your needs.

Pros & Cons Comparison

H2 Database Engine

Analysis & Comparison

Advantages

Easy to embed and integrate into Java applications.

Very fast, especially in in-memory mode.

Lightweight with minimal resource requirements.

Includes a simple, convenient browser-based console.

Supports standard SQL and offers flexibility with UDFs and triggers.

Pure Java implementation ensures high portability.

Limitations

Not designed for very large-scale enterprise applications with extremely high concurrency.

Community support, not traditional commercial support.

Limited advanced features like built-in replication or clustering compared to enterprise databases.

Hazelcast

Analysis & Comparison

Advantages

Extremely low latency due to in-memory data storage.

Highly scalable and fault-tolerant architecture automatically handles data distribution and replication.

Integrated stream processing engine for real-time analytics and event processing.

Offers familiar distributed data structures simplifying development.

Pure Java implementation integrates well with Java ecosystems.

Flexible deployment options including cloud and containers.

Limitations

In-memory nature means data size is limited by available RAM.

Requires operational knowledge to effectively manage and tune large clusters.

Steeper learning curve initially compared to simpler caching solutions.

Persistence requires additional configuration and can introduce complexity.