Apache Storm, as described by its creators, is to real-time data processing as Hadoop is for batch data computations.
This project from the Apache Foundation aims at providing a reliable technology to be used for running various types of operations and computations on a live data stream, promptly delivering the results to waiting clients.
This kind of technology can be very helpful in today's high-speed Internet where data is expected to be ready for consumption in just a few seconds after it has occurred or been recorded.
Storm has many features and benefits, allowing developers to use it with any other programming language, providing a fault-tolerant working model that ensures minimal data loss, and a pliable architecture that allows system administrators to scale up and down with the number of available servers.
Some of the companies that are trusting and have deployed Apache Storm include big names like Yahoo, Twitter, Spotify, Alibaba, Groupon, The Weather Channel, and Baidu.
What is new in this release:
- Plugable Serialization for Multilang
- Storm UI Improvements
- Netty Transport Improvements
- Kafka Spout
- Storm Starter and Examples
What is new in version 0.9.4:
- Plugable Serialization for Multilang
- Storm UI Improvements
- Netty Transport Improvements
- Kafka Spout
- Storm Starter and Examples
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