Companies that use Apache Storm
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 what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
989
companies
List of companies using Apache Storm
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Apache Storm
Employees633Revenue$7MDefense and Space ManufacturingApache StormHigh confidence
Employees6.2kRevenue$1.5BIT Services and IT ConsultingApache StormHigh confidence
Employees201Professional ServicesApache StormHigh confidence
Employees1.5kRevenue$1.2BSoftware DevelopmentApache StormHigh confidence
Employees1.2kRevenue$681MIT Services and IT ConsultingApache StormHigh confidence
Employees32Chemical ManufacturingApache StormHigh confidence
Employees51Revenue$3.1MIT Services and IT ConsultingApache StormHigh confidence
Employees25IT Services and IT ConsultingApache StormHigh confidence
Employees42Revenue$2MIT Services and IT ConsultingApache StormHigh confidence
Employees244Public SafetyApache StormHigh confidence
We have data on 989 companies and users that use Apache Storm. Our Apache Storm users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Apache Storm is a real-time computation system that makes it easy to process unbounded streams of data. It is a distributed, fault-tolerant, and scalable framework written predominantly in the Clojure programming language. Apache Storm allows for the processing of vast amounts of data with low latency, making it ideal for applications where real-time analytics and data processing are critical.
In the realm of Stream Processing, Apache Storm holds a significant position as a robust and efficient framework for handling streaming data. Stream Processing technologies focus on processing continuous streams of data in real-time, enabling organizations to derive insights and make decisions instantly based on the most up-to-date information available. Apache Storm, with its ability to handle high-speed data streams and ensure fault tolerance, is a key player in this category.
Apache Storm was founded in September 2011 by Nathan Marz and later open-sourced under the Apache Software Foundation in 2014. The motivation behind creating Apache Storm was to address the need for a distributed, real-time computation system that could handle the challenges of processing high-velocity data streams with low latency. Since its inception, Apache Storm has gained popularity for its near real-time processing capabilities and fault tolerance features.
In terms of current market share, Apache Storm continues to be widely used in industries requiring real-time data processing, such as financial services, telecommunications, and e-commerce. While it faces competition from other stream processing frameworks like Apache Flink and Spark Streaming, Apache Storm still maintains a strong presence in the market. With the increasing demand for real-time analytics and the growth of IoT devices generating continuous streams of data, Apache Storm is likely to see further adoption and potentially grow its market share in the future.