Compare - Faust VS Apache Storm
Here’s the difference between Faust and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
About Faust
Faust is a stream processing library, porting the ideas from Kafka Streams to Python. It is used at Robinhood to build high performance distributed systems and real-time data pipelines that process billions of events every day. Faust provides both stream processing and event processing, sharing similarity with tools such as Kafka Streams, Apache Spark/Storm/Samza/Flink,
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 | undefined | Late Stage |
| Target Segment | Enterprise, Mid size | |
| Deployment | SaaS | |
| Business Model | null | Open Source |
| Pricing | Freemium | |
| Location | null | US |
| Companies using it | ||
| Contact info |
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