Difference between Elasticsearch and Solr Last Updated : 07 Feb, 2023 Comments Improve Suggest changes Like Article Like Report 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 document-oriented.Good performance 2. Solr : It is used to build search applications and an open-source platform. The applications that are built using Solr give very high performance. Solr is used with Hadoop as Hadoop handles huge amount of data, Solr helps us in find out the required information from such a large source. Features- Monitoring is easy.It is highly scalable.Real-time indexingData can be fetched from both local and web sources. Difference between Elasticsearch and Solr : SolrElasticsearch1.In solr push queries are not supported.Push queries are supported.2.It is an open source.It is managed by the development community.3.It doesn't support search across multiple indexes.It supports search across multiple indexes.4.Queries return in JSON, XML and CSV format.Queries return JSON documents format.5.It is scalable but only with the help of SolrCloud and zookeeper.It is scalable by default.6.Grouping of result is possible.Grouping of result is not possible.7.It supports spellcheck.It doesn't support spellcheck.8.Query elevation is possible.Query elevation is not possible.9.It built for Web Search.It built for scalable search.10.It Supports Deduplication.It doesn't Support Deduplication.11.It is focused mainly on text-based searching.It is focused on text-based searching and in log analytics.12.It supports document structure.It supports nested object.13.JIRA reports issue.Support of JIRA is not available.14.In solr update requires configuration change.In Elasticsearch update requires custom change.15.Analyzers are predefined.Analyzers are set during query. Comment More infoAdvertise with us Next Article Difference between Elasticsearch and Solr B bansal_rtk_ Follow Improve Article Tags : DBMS Difference Between Similar Reads 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 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 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 IBM DB2 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 Like