Compare - Materialize VS Apache Storm
Here’s the difference between Materialize and Apache Storm. The comparison is based on pricing, deployment, business model, and other important factors.
About Materialize
Materialize is a cloud-based streaming data analytics platform. The product offered by the company is a platform for SQL on streaming data. The features of the product include reusing of skills from traditional SQL queries and applications, data denormalization, application development, alerts, and notifications, real-time data visualizations, task automation, 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 | On Prem | SaaS |
| Business Model | Open Source | Open Source |
| Pricing | Freemium | Freemium |
| Location | New York, US | US |
| Companies using it | ||
| Contact info |
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