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TL;DR - Hazelcast
- 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.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Ultra-low latency
- Unified platform
- Strong Java ecosystem
- Auto-scaling
Cons
- Complex configuration
- Resource intensive
- Steep learning curve
Key Features
In-memory computingStream processingDistributed cachingSQL over streamsKubernetes nativeTiered storage
Pricing Plans
Platform (OSS)
Free
- Open source
- Community support
Platform Enterprise
Custom
- Enterprise features
- Support
Cloud Serverless
Pay as you go
- Managed service
About Hazelcast
By Toolradar Team·
Hazelcast is a real-time data platform combining a stream processing engine with a fast data store. It enables low-latency queries and analytics on streaming and stored data.
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Hazelcast FAQ
How does Hazelcast support real-time processing of events?
Hazelcast offers stream processing capabilities that allow it to detect and respond to events in real time. This enables applications to react instantly to incoming data, making it suitable for real-time and AI-driven use cases.
What specific features does Hazelcast Management Center offer for monitoring and troubleshooting clusters?
The Management Center provides an intuitive UI to view cluster health, member status, and resource utilization. It also includes diagnostics and troubleshooting tools, automatic configuration health checks, and the ability to take thread dumps from individual cluster members.
How does Hazelcast ensure high availability and disaster recovery for distributed data?
Hazelcast supports Geo/WAN replication, which is crucial for high availability and disaster recovery across geographically distributed clusters. It also offers flexible data consistency options, allowing users to choose between CP for Consistency or AP for Availability based on their application's needs.
Can Hazelcast integrate with existing monitoring tools?
Yes, Hazelcast Management Center provides Java Management Extensions (JMX) and REST APIs, as well as a Prometheus Exporter. These integrations allow users to seamlessly incorporate Hazelcast cluster metrics into their existing monitoring and alerting infrastructure.
What is the purpose of Jet Job Placement Control in Hazelcast Platform 5.5?
Jet Job Placement Control in Hazelcast Platform 5.5 allows users to run Jet Jobs on specific compute resources, isolating the compute component from the storage component. This enhances deployment versatility and resiliency for compute-heavy processing, enabling selective workload distribution for tasks like vector embedding or stream processing.
How does Hazelcast support vector search capabilities?
Hazelcast Platform 5.5 Beta introduces vector search, allowing the creation of vector data structures and generation of vector embeddings from any data. It leverages the JVector 2.0 embedded search engine to provide continuously up-to-date vector indexes for similarity search, aiding data scientists in generating insights.
Source: hazelcast.com