Hazelcast vs Apache Ignite

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

Hazelcast icon
Hazelcast
Apache Ignite icon
Apache Ignite

Expert Analysis & Comparison

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.

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.

Why Compare Hazelcast and Apache Ignite?

When evaluating Hazelcast versus Apache Ignite, both solutions serve different needs within the development ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

Hazelcast and Apache Ignite have established themselves in the development market. Key areas include caching, processing-streams, clustering.

Technical Architecture & Implementation

The architectural differences between Hazelcast and Apache Ignite significantly impact implementation and maintenance approaches. Related technologies include caching, processing-streams, clustering.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include caching, processing-streams and distributed, database.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between Hazelcast and Apache Ignite. You might also explore caching, processing-streams, clustering for alternative approaches.

Feature Hazelcast Apache Ignite
Overall Score N/A N/A
Primary Category Development Development
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

Hazelcast
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.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

Apache Ignite
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.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

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

Pros & Cons Analysis

Hazelcast
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
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
Hazelcast
  • Open Source
  • Enterprise Edition (Subscription)
Apache Ignite
Apache Ignite
  • Open Source

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