Companies and Developers Using Elasticsearch
Elasticsearch is the full-text search and analytics engine behind production search at Uber, Shopify, Netflix, GitHub, and most large application search and log-aggregation platforms.
By the numbers
| Metric | Value |
|---|---|
| GitHub stars | 76.5k |
| Forks | 25.8k |
| Contributors | 2,461+ |
| Latest release | Apr 2026 |
Source: GitHub · fetched 2026-04-17
What is Elasticsearch?
Elasticsearch is a distributed search and analytics engine first released in 2010 by Shay Banon on top of Apache Lucene. It is currently available under the Elastic License 2.0, SSPL, or (as of 2024) AGPL v3—a three-way re-open-sourcing that followed the 2021 license change away from Apache 2.0. The engine indexes JSON documents, provides near-real-time full-text search with relevance scoring, and supports aggregations used for dashboards and analytics.
Historically the ELK stack—Elasticsearch, Logstash, Kibana—was the default log-aggregation architecture for a decade. That position has eroded as Loki, ClickHouse-based log systems, and OpenSearch (the AWS fork) took share. Elastic the company still sells the managed Elastic Cloud offering plus observability, security, and search products built on top of the engine.
Who uses Elasticsearch?
Production Elasticsearch deployments include Uber, Shopify, Netflix, GitHub (for code and issue search), Wikipedia, The New York Times, Adobe, Slack, and most large web products with non-trivial search. It is embedded inside many SaaS products as the search backend and was historically the default log store before Loki and ClickHouse-based alternatives emerged.
Elasticsearch users are backend engineers integrating search into applications, SREs and platform engineers running clusters, security engineers using it inside SIEMs (Elastic Security), and observability engineers running ELK for logs. These personas buy log aggregators, SIEM, APM, and managed search services.
According to the Elasticsearch README: “Elasticsearch is a distributed search and analytics engine, scalable data store, and vector database optimized for speed and relevance on production-scale workloads.” (source)
How to reach developers using Elasticsearch
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Frequently asked questions about Elasticsearch
What companies use Elasticsearch?
Elasticsearch is used in production at Wikipedia, LinkedIn, Netflix, Uber, GitHub, Slack, and most large platforms that power full-text search, log aggregation, or observability pipelines.
Who maintains Elasticsearch?
Elastic NV (NYSE: ESTC), founded in 2012 by the original Elasticsearch authors. Elasticsearch source code is available under the Elastic License 2.0 and AGPL 3.0 (dual-license model introduced in 2021).
What are alternatives to Elasticsearch?
OpenSearch (AWS-maintained fork under Apache 2.0), Typesense (lightweight, developer-friendly), Meilisearch (Rust-based, easy setup), Solr (Apache, older), Algolia (hosted SaaS), and Manticore Search.
How many developers contribute to Elasticsearch?
Elasticsearch has 2,461 contributors (GitHub, 2026/04). It is one of the more actively contributed open-source projects in its category, with contributions from both individual developers and corporate engineering teams.
Is Elasticsearch production-ready?
Yes. Elasticsearch is production-ready: it has 76.5k GitHub stars, 2,461 contributors (GitHub, 2026/04), and is last released Apr 2026. It is used in production at large-scale organizations and has a mature release cadence.
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