Hazelcast vs Apache Ignite

Struggling to choose between Hazelcast and Apache Ignite? 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, Apache Ignite is a Development product tagged with distributed, database, caching, processing, realtime, high-availability.

Its standout features include In-memory data grid, SQL and ACID compliance, Distributed computing, High availability, Horizontal scalability, Collocated computations, Interoperability, and it shines with pros like Very fast performance, Flexible deployment options, Strong consistency, Auto-sharding, ANSI SQL support, Machine learning integration.

Feature	Hazelcast	Apache Ignite
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Hazelcast

Description: 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.

Apache Ignite

Description: Apache Ignite is an open-source distributed database, caching, and processing platform for real-time, large-scale applications. It provides in-memory computing for speed and high availability by distributing data across a cluster.

Key Features Comparison

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

Apache Ignite Features

• In-memory data grid
• SQL and ACID compliance
• Distributed computing
• High availability
• Horizontal scalability
• Collocated computations
• Interoperability

Pros & Cons Analysis

Hazelcast

Pros

• Fast performance
• Easy scalability
• High availability
• Flexible deployment options
• Open source
• Rich ecosystem

Cons

• Complex configuration
• Steep learning curve
• No visual interface

Apache Ignite

Pros

• Very fast performance
• Flexible deployment options
• Strong consistency
• Auto-sharding
• ANSI SQL support
• Machine learning integration

Cons

• Complex installation and configuration
• Steep learning curve
• No built-in monitoring and management
• Limited documentation and support

Pricing Comparison

Hazelcast

• Open Source
• Enterprise Edition (Subscription)

Apache Ignite

• Open Source