Compare - Confluent VS Apache Storm
Here’s the difference between Confluent and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
About Confluent
Confluent provides a real-time data stream platform on Apache Kafka. The platform offers an open-source technology that acts as a real-time, fault-tolerant, and highly scalable messaging system, enabling companies to move data from isolated systems into a real-time data pipeline where they can act on it. Audi, Tivo, and Euronext are some of its clients.
About Apache Storm
Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache 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.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Open Source |
| Pricing | Freemium | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |
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