druid
Apache Storm is a free, open-source distributed realtime computation system for processing unbounded data streams, scalable and fault-tolerant.
Score
30
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Apr 24, 2026
Overview
What is druid?
Apache Storm is a distributed realtime computation system that reliably processes unbounded streams of data, similar to Hadoop for batch processing but for realtime. It is simple, supports any programming language, and integrates with various queueing and database technologies.
What is druid used for?
Top Features
- Realtime data stream processing
- Scalable and fault-tolerant
- Integrates with any queueing/database system
- Supports any programming language
- Easy to set up and operate
How to use druid?
Set up a development environment, create a Storm project, define topologies to consume and process data streams, and deploy on clusters for realtime analytics, machine learning, ETL, or other computations.
Alternative Tools
No alternative tools found
Pros & Cons
Pros
- Free and open source
- High performance (over a million tuples/sec per node)
- Guaranteed data processing
- Flexible integration
Cons
- Requires technical expertise to deploy and manage
- Primarily for enterprise or large-scale use
Use Cases
- Realtime analytics
- Online machine learning
- Continuous computation
- Distributed RPC
- ETL processes
druid Pricing
Free Plan
No detailed pricing information available
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