Distributed real-time computation, simplified
Apache Storm (apache.org) scores 85 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among SaaS brands, Technology brands, in the 88th percentile of 31575 SaaS brands.
Apache Storm is a free and open source distributed realtime computation system developed under the Apache Software Foundation. It enables reliable processing of unbounded streams of data, performing for real-time stream processing what Hadoop did for batch processing. Storm is designed to be fast, scalable, fault-tolerant, and language-agnostic, capable of processing over a million tuples per second per node. It is used by developers, data engineers, and organizations for applications such as real-time analytics, machine learning, ETL, and distributed computation.
| Brand Name | Apache Storm |
|---|---|
| Domain | apache.org |
| Industry | SaaS, Technology |
| Founded | 2014 |
| Parent Company / Owner | Apache Software Foundation |
| Main Competitors | Apache Flink, Apache Spark, Apache Kafka, Apache Samza, Amazon Kinesis, Google Cloud Dataflow, Confluent (94/100) |
Moz Domain Authority 93/100 vs category average 37 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Apache Storm has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing wha…" (Meta description: 33 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Apache.
Social footprint: verified profiles on GitHub, X (Twitter), Instagram; no detected presence on LinkedIn, Facebook, YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked August 2026.
When asked "What is Apache Mesos?", Claude could identify the brand as of August 2026. Apache Mesos is an open-source cluster management system that abstracts CPU, memory, storage, and other resources across a cluster of machines, allowing multiple distributed applications or frameworks to share the same pool of hardware efficiently. It was originally developed at Best known for Being an early large-scale cluster resource manager that enabled data center resource sharing across frameworks like Hadoop, Spark, and Marathon.
When asked "Best brands similar to Apache Mesos?", Claude would not surface Apache Storm as of August 2026. While historically important, Mesos has largely been eclipsed by Kubernetes in modern container orchestration discussions, so I'd only mention it for historical or specialized context rather than as a top current recommendation.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Apache Storm is a free and open source distributed realtime computation system. It is designed to reliably process unbounded streams of data, serving a role for stream processing similar to what Hadoop provides for batch processing.
Sources: Apache Storm official site
Apache Storm has moderate AI-search visibility, scoring 52/100 on Brand Analyzer's AI visibility composite (visibility 57, trust 44, recommendation 51). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Apache Storm official site
Apache Storm was founded in 2014. Apache Storm operates in the SaaS category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
Apache Storm offers a distributed realtime computation system for processing unbounded streams of data. It provides the core framework and tools for building real-time analytics, online machine learning, continuous computation, and ETL pipelines, as free and open source software.
Sources: Apache Storm official site
Apache Storm processes large-scale, unbounded streams of data in real time. It performs distributed computation on continuous data streams, enabling use cases such as real-time analytics, online machine learning, continuous computation, and extract-transform-load (ETL) operations.
Sources: Apache Storm official site
Apache Storm scores 51/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Apache Storm official site
Apache Storm is known for being a pioneering open source framework for real-time, distributed stream processing. It is recognized for its speed, scalability, fault tolerance, and language-agnostic design, capable of processing over a million tuples per second per node.
Sources: Apache Storm official site
Apache Storm can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Apache Storm official site
Apache Storm is popular because it was one of the first widely adopted systems for reliable, real-time processing of unbounded data streams, filling a gap left by batch-oriented systems like Hadoop. Its speed, scalability, fault tolerance, and language-agnostic architecture made it attractive to developers and organizations needing real-time analytics and distributed computation.
Sources: Apache Storm official site
Apache Storm is used by developers, data engineers, and organizations that need to process large-scale, unbounded data streams in real time. Typical use cases include real-time analytics, machine learning, ETL processes, and other distributed computation tasks.
Sources: Apache Storm official site
Apache Storm scores 52/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Apache Storm has a limited AI-visibility profile at 52/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (57/100) and its weakest is trust (44/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a Moz Domain Authority of 93/100. The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Apache Storm from memory (August 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
85 in October 2026, up from 83 in August 2026.
Ranked closest to Apache Storm: Antler (85/100), Ankr (85/100), Apidog (85/100), AppDirect (85/100).
A step up - brands to learn from: Zuken (91/100), ZoneAlarm (91/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.