Apache Ignite vs Hazelcast

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.

Apache Ignite icon
Apache Ignite
Hazelcast icon
Hazelcast

Expert Analysis & Comparison

Struggling to choose between Apache Ignite and Hazelcast? Both products offer unique advantages, making it a tough decision.

Apache Ignite is a Development solution with tags like distributed, database, caching, processing, realtime, high-availability.

It boasts features such as In-memory data grid, SQL and ACID compliance, Distributed computing, High availability, Horizontal scalability, Collocated computations, Interoperability and pros including Very fast performance, Flexible deployment options, Strong consistency, Auto-sharding, ANSI SQL support, Machine learning integration.

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.

Why Compare Apache Ignite and Hazelcast?

When evaluating Apache Ignite versus Hazelcast, 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

Apache Ignite and Hazelcast have established themselves in the development market. Key areas include distributed, database, caching.

Technical Architecture & Implementation

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

Integration & Ecosystem

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

Decision Framework

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

Feature Apache Ignite Hazelcast
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

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: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

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: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

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

Pros & Cons Analysis

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
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

Pricing Comparison

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

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