Here’s the difference between Redpanda and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
Redpanda is the modern streaming data platform for developers. API-compatible with Apache Kafka, the product has a breakthrough architecture with 10x lower latencies, single binary deployment with built-in features, and tiered storage in the cloud with a unified streaming API. Redpanda offers a free community edition and commercial options for both self-hosted and SaaS.
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.
Overview | ||
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Categories | Data Streaming | Data Streaming |
Stage | Mid 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 | California, US | US |
Companies using it | ||
Contact info |