Shay Banon created the precursor to Elasticsearch, called Compass, in 2004.[9] While thinking about the third version of Compass he realized that it would be necessary to rewrite big parts of Compass to "create a scalable search solution".[9] So he created "a solution built from the ground up to be distributed" and used a common interface, JSON over HTTP, suitable for programming languages other than Java as well.[9] Shay Banon released the first version of Elasticsearch in February 2010.[10]
Elastic NV was founded in 2012 to provide commercial services and products around Elasticsearch and related software.[11] In June 2014, the company announced raising $70 million in a Series C funding round, just 18 months after forming the company. The round was led by New Enterprise Associates (NEA). Additional funders include Benchmark Capital and Index Ventures. This round brought total funding to $104M.[12]
In March 2015, the company Elasticsearch changed its name to Elastic.[13]
Developed from the Found acquisition by Elastic in 2015,[16] Elastic Cloud is a family of Elasticsearch-powered SaaS offerings which include the Elasticsearch Service, as well as Elastic App Search Service, and Elastic Site Search Service which were developed from Elastic's acquisition of Swiftype.[17] In late 2017, Elastic formed partnerships with Google to offer Elastic Cloud in Google Cloud Platform (GCP), and Alibaba to offer Elasticsearch and Kibana in Alibaba Cloud.
Elasticsearch Service users can create secure deployments with partners, Google Cloud Platform (GCP) and Alibaba Cloud.[18]
Licensing changes
In January 2021, Elastic announced that starting with version 7.11, they would be relicensing their Apache 2.0 licensed code in Elasticsearch and Kibana to be dual licensed under Server Side Public License and the Elastic License, neither of which is recognized as an open-source license.[19][20] Elastic blamed Amazon Web Services (AWS) for this change, objecting to AWS offering Elasticsearch and Kibana as a service directly to consumers and claiming that AWS was not appropriately collaborating with Elastic.[20][21] Critics of the re-licensing decision predicted that it would harm Elastic's ecosystem and noted that Elastic had previously promised to "never....change the license of the Apache 2.0 code of Elasticsearch, Kibana, Beats, and Logstash". Amazon responded with plans to fork the projects and continue development under Apache License 2.0.[22][23] Other users of the Elasticsearch ecosystem, including Logz.io, CrateDB and Aiven, also committed to the need for a fork, leading to a discussion of how to coordinate the open source efforts.[24][25][26] Due to potential trademark issues with using the name "Elasticsearch", AWS rebranded their fork as OpenSearch in April 2021.[27][28]
Elasticsearch can be used to search any kind of document. It provides scalable search, has near real-time search, and supports multitenancy.[29] "Elasticsearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. Each node hosts one or more shards and acts as a coordinator to delegate operations to the correct shard(s). Rebalancing and routing are done automatically".[29] Related data is often stored in the same index, which consists of one or more primary shards, and zero or more replica shards. Once an index has been created, the number of primary shards cannot be changed.[30]
Elasticsearch is developed alongside the data collection and log-parsing engine Logstash, the analytics and visualization platform Kibana, and the collection of lightweight data shippers called Beats. The four products are designed for use as an integrated solution, referred to as the "Elastic Stack".[31] (Formerly the "ELK stack", short for "Elasticsearch, Logstash, Kibana".)
Elasticsearch uses Lucene and tries to make all its features available through the JSON and Java API. It supports facetting and percolating (a form of prospective search),[32][33] which can be useful for notifying if new documents match for registered queries. Another feature, "gateway", handles the long-term persistence of the index;[34] for example, an index can be recovered from the gateway in the event of a server crash. Elasticsearch supports real-time GET requests, which makes it suitable as a NoSQL datastore,[35] but it lacks distributed transactions.[36]
On 20 May 2019, Elastic made the core security features of the Elastic Stack available free of charge, including TLS for encrypted communications, file and native realm for creating and managing users, and role-based access control for controlling user access to cluster APIs and indexes.[37] The corresponding source code is available under the “Elastic License”, a source-available license.[38] In addition, Elasticsearch now offers SIEM[39] and Machine Learning[40] as part of its offered services.
^"Percolating" is a term peculiar to Elasticsearch. Percolating is a reverse search: instead of returning all the documents that match a search query, percolating returns all the (stored) search queries that match a document as their output. Nunn, Xavier; "Detecting data leaks in real time with a custom percolator", Serena Capital blogs, 2019-January-8
