Storm
Storm is a distributed real-time computation system.
Tarification: open_source — Free to use and distribute · Visiter le site
Storm is an open-source distributed real-time computation system designed for building real-time data pipelines. It processes unbounded streams of tuples and supports reliable message passing, stateful computations, and easy fault tolerance. Developed by the Stanford University's Genie project, Storm can be used to build complex event processing systems, stream analytics, and more.
Avantages
- Fault-tolerant
- Scalable
- Supports real-time data processing
Inconvénients
- Steep learning curve
- Resource-intensive setup
FAQ
Is Storm free to use?
Yes, it is open source.
Does Storm support stateful computations?
Yes, it supports both stateful and stateless processing.
What programming languages does Storm support?
Storm supports Java, Python, and Ruby for writing topology code.
Principales alternatives
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Warp offers a user-friendly interface for rapid prototyping, similar to Storm's capabilities but with more pre-built components.
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RunDiffusion offers a paid service for generating realistic images from text descriptions, complementing Storm's open-source development too
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LiveBench offers a freemium model with performance benchmarking for developers, complementing Storm's open-source offerings.
DeepSeek - AI-driven language and coding models.
DeepSeek offers a freemium model with advanced AI features for developers, complementing Storm's open-source approach.
Mis à jour le : 2026-07-28