Compare - Decodable VS Apache Storm
Here’s the difference between Decodable and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
About Decodable
Decodable’s mission is to make streaming data engineering easy. Decodable delivers the first self-service real-time data platform — that anyone can run. As a serverless platform for real-time data ingestion, integration, analysis, and event-driven service development, Decodable eliminates the need for a large data team, clusters to set up, or code to write.
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 | Mid-size, SMBs, Enterprise | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Open Source |
| Pricing | Freemium, contact Sales | Freemium |
| Location | San Francisco, CA | US |
| Companies using it | ||
| Contact info |
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