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Hazelcast Jet

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About Hazelcast Jet

Hazelcast Jet is a data processing software from Hazelcast that provides fast, in-memory processing for real-time analytics. It combines distributed streaming, batch processing, and a rich set of connectors so users can handle large datasets efficiently. The software supports fault tolerance and scalability, which ensures robustness in data workflows. Hazelcast Jet is designed to integrate easily with other Hazelcast products, making it a versatile choice for data-driven applications. Its architecture simplifies the deployment of data pipelines and supports various data sources. Key capabilities: distributed processing real-time analytics batch processing fault tolerance scalability Best for: data engineers and analysts that need to process large volumes of data efficiently.

Hazelcast Jet Details

Vendor
Hazelcast
Year Launched
2010
Location
3000 El Camino Real, Palo Alto, CA, United States, California
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish
Users
Data Analysts, Data Engineers, Data Scientists.
Industries Served
Payment Processing, Retail Banking, Supply Chain / Logistics, Retail / E-Commerce, Healthcare
Tags
clustering, distributed caching, distributed computing, In-Memory Computing, Java, NoSQL, data processing, stream processing, real-time data, real-time compute, real-time data platform, machine learning, streaming analytics, serverless, cloud computing, SQL, Python, and Real-Time Application

Hazelcast Jet's In-App Market Place

Does Hazelcast Jet have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), DKK (kr)

Pros & Cons

  • 1. Real-Time Stream Processing: Ideal for high-performance, real-time event processing.
  • 2. Scalability: Highly scalable with horizontal scaling and automatic load balancing.
  • 3. Fault-Tolerant: Resilient and fault-tolerant architecture for mission-critical applications.
  • 4. Integrates Well with Other Tools: Supports integration with Apache Kafka, Elasticsearch, and other tools in the big data ecosystem.
  • 5. Flexible Architecture: Offers both batch and stream processing for varied use cases.
  • 1. Complex Setup for Beginners: May require more setup and configuration, especially for users new to stream processing systems.
  • 2. Requires Java Expertise: While there is a client API, most advanced usage is in Java, which might not suit non-Java developers.
  • 3. Relatively Niche Use Cases: Primarily targets companies needing real-time stream processing at scale, making it overkill for simpler applications.
  • 4. Limited Out-of-the-Box UI Tools: Unlike some other data processing platforms, Jet does not come with advanced visualization tools.
  • 5. Community Edition Limitations: The open-source version is missing enterprise-grade features, which may hinder scalability and support for larger applications.

Hazelcast Jet's Support Options

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