G2 Vendor Directory

Spark Streaming vs. Hazelcast Platform

A side-by-side comparison based on G2 review data.

MetricSpark Streaming

by The Apache Software Foundation

Hazelcast Platform

by Hazelcast

Overall rating4.24.3
Review count4013
Ease of use8.48.7
Ease of setup7.98.3
Quality of support8.88.9
Meets requirements9.18.9
NPS39.47368441.666667
Small Business30.8%53.8%
Mid-Market43.6%23.1%
Enterprise25.6%23.1%
Total page views7483
Total LLM citations66138

Spark Streaming

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.

Pros

    Hazelcast Platform

    Hazelcast Platform is the Live Data Platform that delivers data at the speed of relevance, providing the in‑memory foundation for applications that act on data the instant it's created—ensuring businesses never miss a moment of opportunity. By converging distributed caching, compute, stream processing, and real‑time AI into one low‑latency runtime, Hazelcast delivers sub‑millisecond performance, linear scalability, and enterprise resilience. Global 2000 firms trust Hazelcast to simplify architectures, reduce costs, and power mission‑critical, time‑sensitive applications.

    Pros

    • Flexibility
    • Ease of Use
    • Performance Efficiency
    • Performance
    • Simple
    • Fast Processing