Compare - StreamNative VS Apache Storm
Here’s the difference between StreamNative and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
About StreamNative
StreamNative is founded by the original developers of Apache Pulsar and Apache BookKeeper.It builds a cloud-native event streaming platform that enables enterprises to easily access data as real-time event streams.
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 | Early Stage | Late Stage |
| Target Segment | SMBs, Mid-size, Enterprise | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | San Francisco, California | US |
| Companies using it | ||
| Contact info |
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