Compare - Kx Systems VS Apache Storm
Here’s the difference between Kx Systems and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
About Kx Systems
Kx offers a high-performance column-store database with a built-in expressive query and programming language, It is used as a central repository to store time-series data within an enterprise, kdb+ supports real-time analysis of billions of records and fast access to terabytes of historical data. Some of its customers are Goldman Sachs, Morgan Stanley, Merrill Lynch, J.P. Morgan, Deutsche Bank, etc.
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 | Late Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaSOn Prem | SaaS |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | US | US |
| Companies using it | ||
| Contact info |
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