Apache Ignite vs Hazelcast
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.
Apache Ignite
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.
Categories:
Apache Ignite Features
- In-memory data grid
- SQL and ACID compliance
- Distributed computing
- High availability
- Horizontal scalability
- Collocated computations
- Interoperability
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)