storm
Apache Flink is a distributed processing engine for stateful computations over data streams, designed for high performance and scalability in all cluster environments.
Score
30
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Jun 11, 2026
Overview
What is storm?
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. It runs in common cluster environments, performs computations at in-memory speed, and scales to any size.
What is storm used for?
Top Features
- Exactly-once state consistency
- Event-time processing
- Flexible deployment
- Scale-out architecture
- Low latency and high throughput
How to use storm?
Use Flink by deploying it on clusters, writing applications with APIs like DataStream or SQL, and managing operations through tools like the Kubernetes Operator for streaming and batch processing tasks.
Alternative Tools
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Pros & Cons
Pros
- High performance with in-memory computing
- Supports both stream and batch processing
- Strong correctness guarantees
- Scalable to large data volumes
- Open-source and free
Cons
- Steep learning curve for beginners
- Requires cluster setup and management
Use Cases
- Event-driven applications
- Stream and batch analytics
- Data pipelines and ETL
storm Pricing
Free Plan
No detailed pricing information available
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