Hazelcast

To build a real-time stack, you often have to stitch together separate systems—a streaming engine for processing and a cache/database for state management. This creates two taxes on your business:

1️⃣ The Latency Tax: Network hops to external datastores make sub-millisecond performance impossible.
2️⃣ The Complexity Tax: Managing two distributed clusters doubles operational burden and failure points.

Hazelcast solves this by unifying stream processing and in-memory data grid (IMDG) in a single runtime. Our customers get submillisecond latency, 50% reduction in infrastructure costs, and a resilient platform trusted by some of the world's largest financial institutions for mission-critical use cases like payment processing.

If you want to learn more about what we believe earned us the recognition of a Strong Performer among 15 providers in The Forrester Wave™: Streaming Data Platforms, Q4 2025, check out this blog: https://ow.ly/wYfe50XTxCx

Why Hazelcast believes its live data platform redefines streaming data platforms In a crowded market of streaming data platforms, differentiation is often lost in a sea of feature checklists. Against this backdrop, Hazelcast was