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