Hazelcast vs H2 Database Engine

Struggling to choose between Hazelcast and H2 Database Engine? Both products offer unique advantages, making it a tough decision.

Hazelcast is a Development solution with tags like caching, processing-streams, clustering.

It boasts features such as 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 pros including Fast performance, Easy scalability, High availability, Flexible deployment options, Open source, Rich ecosystem.

On the other hand, H2 Database Engine is a Development product tagged with sql, jdbc, java, opensource, relational, embedded, clientserver.

Its standout features include 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 it shines with pros like Lightweight and fast, Easy to embed in applications, Good for prototyping and testing, Developer-friendly, Written in Java - works anywhere Java works.

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.

Hazelcast

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:
Development Distributed Computing
caching processing-streams clustering

Hazelcast Features

  1. Distributed in-memory data store
  2. Low latency data access
  3. Automatic sharding and rebalancing
  4. ACID transactions
  5. Querying and aggregation
  6. Event journaling
  7. Multi-datacenter replication
  8. Web session clustering
  9. Continuous query
  10. Machine learning

Pricing

  • Open Source
  • Enterprise Edition (Subscription)

Pros

Fast performance

Easy scalability

High availability

Flexible deployment options

Open source

Rich ecosystem

Cons

Complex configuration

Steep learning curve

No visual interface

H2 Database Engine

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:
Development Databases
sql jdbc java opensource relational embedded clientserver

H2 Database Engine Features

  1. Embedded and server modes
  2. Pure Java implementation
  3. Very small footprint
  4. SQL and JDBC support
  5. Disk-based or in-memory databases
  6. Browser-based Console application

Pricing

  • Open Source

Pros

Lightweight and fast

Easy to embed in applications

Good for prototyping and testing

Developer-friendly

Written in Java - works anywhere Java works

Cons

Not designed for large-scale production use

Limited ecosystem compared to larger databases

Not as feature rich as commercial databases