Compare - Apache Storm VS Fast Data
Here’s the difference between Apache Storm and Fast Data. The comparison is based on pricing, deployment, business model, and other important factors.
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.
About Fast Data
FASTDATA is a big data analytics platform that leverages GPUs to enable real-time stream data processing. It provides API access to developers to enable stream processing. The firm claims that when its platform is coupled with parallel GPU servers, data processing is 5X faster. The solution finds applications for streaming data processing across areas such as finance, fraud, security, AI, ML, VR/AR, and IoT.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Streaming |
| Stage | Late Stage | Mid Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Freemium | Contact Sales |
| Location | US | California, US |
| Companies using it | ||
| Contact info |
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