H2 Database Engine vs Hazelcast
Struggling to choose between H2 Database Engine and Hazelcast? Both products offer unique advantages, making it a tough decision.
H2 Database Engine is a Development solution with tags like sql, jdbc, java, opensource, relational, embedded, clientserver.
It boasts features such as Embedded and server modes, Pure Java implementation, Very small footprint, SQL and JDBC support, Disk-based or in-memory databases, Browser-based Console application and pros including Lightweight and fast, Easy to embed in applications, Good for prototyping and testing, Developer-friendly, Written in Java - works anywhere Java works.
On the other hand, Hazelcast is a Development product tagged with caching, processing-streams, clustering.
Its standout features include Distributed in-memory data store, Low latency data access, Automatic sharding and rebalancing, ACID transactions, Querying and aggregation, Event journaling, Multi-datacenter replication, Web session clustering, Continuous query, Machine learning, and it shines with pros like Fast performance, Easy scalability, High availability, Flexible deployment options, Open source, Rich ecosystem.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
H2 Database Engine
H2 is an open-source relational database management system written in Java. It can be embedded in Java applications or run in client-server mode. H2 supports SQL and JDBC APIs and has a small footprint, making it well-suited for testing, prototyping, and small applications.
Categories:
H2 Database Engine Features
- Embedded and server modes
- Pure Java implementation
- Very small footprint
- SQL and JDBC support
- Disk-based or in-memory databases
- Browser-based Console application
Pricing
- Open Source
Pros
Cons
Hazelcast
Hazelcast is an open source in-memory data grid that enables distribution of data and computation across servers for scalability, speed, and resilience. It is commonly used for caching, processing streams, and clustering.
Categories:
Hazelcast Features
- Distributed in-memory data store
- Low latency data access
- Automatic sharding and rebalancing
- ACID transactions
- Querying and aggregation
- Event journaling
- Multi-datacenter replication
- Web session clustering
- Continuous query
- Machine learning
Pricing
- Open Source
- Enterprise Edition (Subscription)