
Hazelcast
Claim this toolReal-time data platform for streaming and memory
Free plan available, paid tiers aboveVisit WebsiteThe Bottom Line
- Price
- Free plan available, paid tiers above. Compare plans
Key facts
- Hazelcast is a unified real-time data platform that combines a distributed compute engine and a fast data store for high-performance, scalable, and cloud-native applications.
- It offers capabilities like distributed caching, in-memory computing, stream processing, and geo/WAN replication for real-time data access, event response, and high availability.
- The platform includes a Management Center for centralized monitoring, diagnostics, and administration of Hazelcast clusters, supporting various integrations and security features.
Pros
- Ultra-low latency
- Unified platform
- Strong Java ecosystem
- Auto-scaling
Cons
- Complex configuration
- Resource intensive
- Steep learning curve
What is Hazelcast?
Available on: Web
Ratings Across the Web
Hazelcast holds an aggregate rating of 4.5 out of 5 from 15 reviews across G2 and Capterra, last checked September 17, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
- In-memory computing
- Stream processing
- Distributed caching
- SQL over streams
- Kubernetes native
- Tiered storage
Pricing Plans
Pricing checked Oct 7, 2026
| Plan | Price | Details |
|---|---|---|
| Platform (OSS) | $0 |
|
| Platform Enterprise | Custom |
|
| Cloud Serverless | Pay as you go |
|
Is Hazelcast worth the price?
Hazelcast's pricing model is fair, offering a robust open-source option at $0 and flexible enterprise solutions.
The 'Pay as you go' Cloud Serverless tier provides cost-effective scalability for managed services. This structure is best for organizations ranging from startups leveraging open source to large enterprises requiring custom, supported solutions.
Reviews

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Across 15 verified user reviews on G2, Capterra
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Hazelcast FAQ
How does Hazelcast support real-time analytics?
Which teams would benefit most from using Hazelcast?
How is Hazelcast priced?
What kind of trade-offs should users consider when adopting Hazelcast?
How does Hazelcast compare to Memcached?
Can Hazelcast automatically scale to handle increased data loads?
Source: hazelcast.com