Apache Kafka vs Apache Storm

Apache Kafka vs Apache Storm with Apache Kafka Introduction, What is Kafka, Kafka Topic Replication, Kafka Fundamentals, Architecture, Kafka Installation, Tools, Kafka Application etc.

<< Back to APACHE

next → ← prev

Apache Kafka Vs. Apache Storm

Apache Storm

It is an open-source and real-time stream processing system. Apache Storm was mainly used for fastening the traditional processes. It reliably processes the unbounded streams. It has spouts and bolts for designing the storm applications in the form of topology. Any pr ogramming language can use it. Thus, it is simple to use. It can process millions of messages within a second.

Kafka Vs. Storm

There are the following differences between Kafka and Storm:

Parameters	Apache Kafka	Apache Storm
Developers	Originally developed by LinkedIn. Then, it was donated to Apache Foundation.	Originally created by Nathan Marz (Backtype team). Later, acquired by Twitter. Further, it became the top-level project of Apache.
Programming Language	Apache Kafka is written in Scala with JVM.	Apache Storm is written in Clojure and Java.
Type of system	It is a distributed messaging system.	It is a real-time message processing system.
Primarily used for	It is used as a message broker. But, it also does small-batch processing.	It is used for micro-batch stream processing.
Data Storage	It maintains the local file system, such as XFS or EXT4, for storing the data.	It does not store the data. It transfers the data from the input stream to the output stream.
Depends on	Apache Kafka depends on the zookeeper to run the Kafka server and let the consumer/producer to read/write the messages to Kafka.	Apache Storm has no external dependency.
Latency	The latency power of Kafka is millisecond.	It has a latency power of less than 1-2 seconds. It is because it depends on the data source.
Language Support	Best supported by Java programming language.	It supports all programming languages.
Security	Data is not highly secure.	Data is highly secured.
Data source	It takes data from the actual data sources such as facebook, twitter, etc.	It fetches data from the Kafka itself for processing.
Fault-tolerant	Due to zookeeper, it is able to tolerate the faults.	It has an in-built feature of auto-restarting.
Developers Experience	It is durable, scalable, as well as gives high-throughput value.	It is easy and flexible to use.

Next TopicKafka Streams vs Spark Streaming

← prev next →

.Net

.NET Array Dictionary List String 2D Async DataTable Dates DateTime Enum File For Foreach Format IEnumerable If IndexOf Lambda LINQ Parse Path Process Property Regex Replace Sort Split Static StringBuilder Substring Switch Tuple

Java

Core Array ArrayList HashMap String 2D Cast Character Console Deque Duplicates File For Format HashSet If IndexOf Lambda Math ParseInt Process Random Regex Replace Sort Split StringBuilder Substring Switch Vector While

Related Links

Adjectives Ado Ai Android Angular Antonyms Apache Articles Asp Autocad Automata Aws Azure Basic Binary Bitcoin Blockchain C Cassandra Change Coa Computer Control Cpp Create Creating C-Sharp Cyber Daa Data Dbms Deletion Devops Difference Discrete Es6 Ethical Examples Features Firebase Flutter Fs Git Go Hbase History Hive Hiveql How Html Idioms Insertion Installing Ios Java Joomla Js Kafka Kali Laravel Logical Machine Matlab Matrix Mongodb Mysql One Opencv Oracle Ordering Os Pandas Php Pig Pl Postgresql Powershell Prepositions Program Python React Ruby Scala Selecting Selenium Sentence Seo Sharepoint Software Spellings Spotting Spring Sql Sqlite Sqoop Svn Swift Synonyms Talend Testng Types Uml Unity Vbnet Verbal Webdriver What Wpf

TheDeveloperBlog.com