Introduction to Apache Storm


May 26, 2021 17:00 Apache Storm


Table of contents


What is Apache Storm?

Apache Storm is a distributed real-time big data processing system. S torm is designed to handle large amounts of data in fault tolerance and horizontal scalable methods. b20> lthough Storm is stateless, it manages distributed environments and cluster state through Apache ZooKeeper. el.

Apache Storm continues to be a leader in real-time data analytics. Storm is easy to set up and operate, and it guarantees that each message will be processed at least once through the topology.

Apache Storm vs Hadoop

Basically, the Hadoop and Storm frameworks are used to analyze big data. T he two complement each other and differ in some respects. op. he following table compares the properties of Storm and Hadoop.

Storm Hadoop
Real-time streaming Bulk processing
No state There is a state
Master/from architecture and ZooKeeper-based coordination. The primary node is called nimbus, and the dependent node is the supervisor. Master-from-structure with/without ZooKeeper-based coordination. The primary node is the job tracker and the from the node is the task tracker.
Storm flow processes can access tens of thousands of messages per second on a cluster. Hadoop Distributed File System (HDFS) uses the MapReduce framework to process large amounts of data in minutes or hours.
The Storm topology runs until the user shuts down or unexpectedly fails to recover. MapReduce jobs are executed sequentially and eventually completed.
Both are distributed and fault-0200s
If nimbus/supervisor crashes, restart it to continue from where it stopped, so nothing is affected. If JobTracker crashes, all running jobs are lost.

Use the example of Apache Storm

Apache Storm is well-regarded for real-time big data stream processing. A s a result, most companies use Storm as an integral part of their systems. Some notable examples are as follows -

Twitter - Twitter is using Apache Storm as its "publisher analytics product." P ublisher Analytics Products handles every tweet and click on the Twitter platform. A pache Storm is deeply integrated with Twitter's infrastructure.

NaviSite - NaviSite is using Storm for event log monitoring/auditing systems. E ach log generated in the system passes through Storm. se.

Wego - Wego is a singapore-based travel meta-search engine. T ravel-related data comes from many sources around the world at different times. rs.

Apache Storm advantage

Here's a list of the benefits Apache Storm offers:

  • Storm is open source, powerful and user-friendly. It can be used by small companies and large companies.

  • Storm is fault-0200, flexible, reliable, and supports any programming language.

  • Allow real-time streaming.

  • Storm is incredibly fast because it has tremendous power in processing data.

  • Storm can maintain performance by linearly increasing resources, even when the load increases. It is highly scalable.

  • Storm performs data refreshes and end-to-end delivery responses in seconds or minutes depending on the problem. It has a very low latency.

  • Storm has operational intelligence.

  • Storm provides guaranteed data processing, even if any connected nodes in the cluster die or messages are lost.