Difference between Elasticsearch and IBM DB2 Last Updated : 30 Jun, 2020 Comments Improve Suggest changes Like Article Like Report 1. Elasticsearch : It is a distributed search and analytics engine.It is open source and can be used for all types of data.It is implemented in Java programming language and supports all operating systems having java virtual machines (J.V.M).It is the main component of Elastic Stack, which is a open source application for data analysis and visualization. It has high scalability and the speed of performing a action is also high which makes it a easy and fast tool for data analysis, processing and visualization. 2. IBM DB2 : It is a relational database which was developed by IBM in 1983. It is considered as a family of database management products which are build for AI. It has enhanced capabilities for performing transactions. It works on the principle of ACID and has high flexibility and performance. It has efficient backup facilities and is considered very secure. It is extremely reliable and is supported by Linux, Unix and Windows operating systems. It has a commercial license and has high scalability. Difference between Elasticsearch and IBM DB2 : S.NO. Elasticsearch IBM DB2 1. Elasticsearch is a search and analytics engine based on Apache Lucene. IBM DB2 is a relational database model. 2. The primary database model is a search engine. Primary database model is document store and RDF store in IBM DB2. 3. It has no concept of transactions. It has concept of transactions satisfying ACID properties. 4. It was developed by ELASTIC in 2010. It was developed by IBM in 1983. 5. It is schema free. Schema is present in IBM DB2. 6. It has ES-Hadoop connector type map reduce. It does not have map reduce concept. 7. It is implemented in java. It is implemented in C and C++ languages. 8. It has Java API, RESTful HTTP/JSON API. It has ADO.NET, JDBC, ODBC, Xquery, JSON style queries. 9. It is considered less than IBM DB2 in terms of ranking. It is considered better than Elasticsearch in terms of ranking. 10. It accepts all operating systems having JVM. It supports AIX, HP-UX, Linux, Solaris, Windows, z/OS. Comment More infoAdvertise with us Next Article Difference between Elasticsearch and IBM DB2 ypsjnv2013 Follow Improve Article Tags : DBMS Difference Between Similar Reads Difference between Elasticsearch and MariaDB 1. Elasticsearch : Elasticsearch is a distributed search and analytics engine.It is open source and can be used for all types of data.It is implemented in Java programming language and supports all operating systems having java virtual machines (J.V.M).It is the main component of Elastic Stack, whic 2 min read Difference between Elasticsearch and MS SQL 1. Elasticsearch : Elasticsearch is a distributed search and analytics engine.It is open source and can be used for all types of data.It is implemented in Java programming language and supports all operating systems having java virtual machines (J.V.M).It is the main component of Elastic Stack, whic 2 min read Difference between Elasticsearch and Solr 1. Elasticsearch : It is an full text search and open-source engine. It is platform independent and can be run on any platform because it is built on java programming language. It allows user to access very large amount of data at very high speed. Features- It is scalable.It is open-source.It docume 2 min read Difference between Elasticsearch and SQLite 1. Elasticsearch : It is a distributed search and analytics engine.It is open source and can be used for all types of data.It is implemented in Java programming language and supports all operating systems having java virtual machines (J.V.M).It is the main component of Elastic Stack, which is a open 2 min read Difference between Elasticsearch and MongoDB 1. Elasticsearch : Elasticsearch is a distributed search and analytics engine. It is open source and can be used for all types of data. It is implemented in Java programming language and supports all operating systems having java virtual machines (J.V.M). It is the main component of Elastic Stack, w 2 min read Differences between Cassandra and Elasticsearch 1. Cassandra : Cassandra is designed to cope with massive quantities of records throughout many commodity servers, supplying excessive availability with no single factor of failure. It is free and open-source, distributed, and it is actually a NoSQL DBMS. 2. Elasticsearch : It is a distributed searc 2 min read Difference between RDBMS and IBM DB2 1. RDBMS : RDBMS stands for Relational Database Management Systems. It is most popular database. In it data is store in the form of row that is in the form of tuple. It contain numbers of table and data can be easily access because data is store in the table. This Model was proposed by E.F. 2. IBM D 2 min read Difference between MariaDB and IBM Db2 1. MariaDB : MariaDB is an open-source relational database management system (RDBMS) that is a compatible drop-in replacement for the widely used MySQL database technology. It is developed by MariaDB Foundation and initially released on 29 October 2009. MariaDB has a significantly high number of new 2 min read Difference between PouchDB and IBM Db2 1. PouchDB : PouchDB is an open-source, NoSQL, in-line database. It is designed after CouchDB, which is a NoSQL database that powers npm. It is written in JavaScript language. There is no need to perform queries over the network as PouchDB resides inside the browser and thus it makes it extremely fa 2 min read Difference between Database and Search Engine A database and a search engine are both tools for finding information, but how they do this and what types of problems they solve differ greatly. Think of a database as an orderly virtual cabinet where you keep all your structured data — think of pieces like names, addresses, or sales records. It is 6 min read Like