Difference Between Hadoop and Splunk
Hadoop: The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. In simple terms, Hadoop is a framework for processing ‘Big Data’. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Hadoop is open-source software. The core of Apache Hadoop consists of a storage part, known as the Hadoop Distributed File System (HDFS), and a processing part which is a Map-Reduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. Hadoop was created by Doug Cutting and Mike Cafarella in 2005.
Splunk: Splunk is a software mainly used for searching, monitoring, and examining machine-generated Big Data through a web-style interface. Splunk performs capturing, indexing, and correlating the real-time data in a searchable container from which it can produce graphs, reports, alerts, dashboards, and visualizations. Splunk is a monitoring tool. It aims to build machine-generated data available over an organization and is able to recognize data patterns, produce metrics, diagnose problems, and grant intelligence for business operation purposes. Splunk is a technology used for application management, security, and compliance, as well as business and web analytics. Michael Baum, Rob Das, and Erik Swan co-founded Splunk in 2003.
Below is a table of differences between Hadoop and Splunk:
|Definition||Hadoop is an open source product. It’s a framework that allows storing and processing Big data using HDFs and MapR||Splunk is Real-time monitoring tool. It could br for application, security, performance and management|
|Components||HDFS-Hadoop distributed file system.|
Map Reduce algorithm.
|Architecture||Hadoop architecture follows distributed fashion and it’s a master worker architecture for transforming and analyzing large datasets||Splunk architecture includes components that are in charge for data ingestion, indexing and analytics. Splunk deployment can be of two type’s standalone and distributed|
|Relation||Hadoop passes the result sets to Splunk||Collection of data and processing will be done by hadoop, visualization of those results and reporting will be done by Splunk|
|Benefits||Hadoop identifies the insights in the raw data and helps business to make good choices.||Splunk gives operational intelligence to optimize the IT operations cost|
Very fast in data processing
|Splunk collects and indexes the data from many sources|
Real time monitoring
Splunk has very powerful search, analysis capabilities
Splunk supports reporting and alerting
Splunk supports software installation and cloud service
Splunk Enterprise Security
|Designed for||Financial Domain|
Fraud Detection and Prevention
|Create Dashboard to analyze result|
Monitor Business metrics