![]() However, this ease of deployment and use can become a problem if Elasticsearch is mismanaged. Plus, you can install and run Elasticsearch minutes in a few minutes. On the other hand, the current version (2.4.0) of elastic search has distribution package size of only 26.1 MB. The current version of the Solr distribution package size (6.2.0) is approximately 150 MB. Installation & Configurationįlexible search is easy to install and very light. On the other hand, contributions to elastic search, through more quality controls, can provide greater consistency and quality. With Elasticsearch, it depends on whether the elastic decision will be accepted or not. ![]() Is this good or bad? This means that if you need a function, and you contribute it to the community, with sufficient quality, it can be accepted. One can add to elastic search as well, but it is up to flexible Elasticsearch employees or company to accept the same. Solr is a open source: anyone can help and contribute. It is crucial to note that although both are released under the Apache license, and both are open source, they work a little different. If you check Github, you can see that they are prevalent open-source projects with many versions. Solr vs Elasticsearch: Community and Open SourceĪll have very active communities. Therefore, Solr has advantages in terms of being in the market first and having a deeper reach. It is an influential participant in the field of search and analysis of records. Since then, the creators of Kibana, Logstash, and Beat have joined the Elastic Stack family of products. On the other hand, the elastic search was started in 2001 by its founder Shaw Bannon with the name compass. Solr has a more extended history since it was created by yonik on the CNET network in 2004. Its engine also acts as a coordinator, delegates operations on the correct fragments.Įlasticsearch has near-real-time search scalability. ![]() Each Elasticsearch node can have one or more fragments. net, and JavaScript.ĭistributed search engines contain indexes that can be divided into fragments, and each fragment can have multiple copies. The official client libraries for elastic search are available for java, groovy, PHP, ruby, Perl, Python. It provides a distributed full-text search engine, supported multi-tenant with HTTP web interface (rest), and JSON documents without schema. words and PDF files)Įlasticsearch is an open source (Apache 2 license), distributed, a RESTful search engine built on top of the Apache Lucene library.
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