Elasticsearch tracking and usage
Websites using Elasticsearch by countrymarket share
24%
๐บ๐ธUS8.2%
๐ฌ๐งGB7.7%
๐ฉ๐ชDE6.8%
๐ซ๐ทFR6.5%
๐ณ๐ฑNL3.8%
๐ต๐ฑPL3.3%
๐ฎ๐ณIN2.6%
๐จ๐ฆCAWebsites using Elasticsearch by industrymarket share ยท top 6 industries
Shopping
News & Weather
SaaS & Cloud
Technology & Computing
Fashion & Beauty
Print & Publishing
0%10%20%30%40%
Download report
We track 1,686 websites using Elasticsearch, along with their country, traffic, industry and platforms. There are 400 websites using Elasticsearch in United States.
Filter by country
๐บ๐ธ United States400 sites
๐ฌ๐ง United Kingdom139 sites
๐ฉ๐ช Germany130 sites
๐ซ๐ท France114 sites
๐ณ๐ฑ Netherlands110 sites
๐ต๐ฑ Poland64 sites
๐ฎ๐ณ India56 sites
๐จ๐ฆ Canada44 sites
๐ฎ๐น Italy37 sites
๐ง๐ท Brazil37 sites
๐ฆ๐บ Australia32 sites
๐ธ๐ช Sweden29 sites
๐ช๐ธ Spain27 sites
๐ง๐ช Belgium25 sites
๐ฆ๐ท Argentina23 sites
๐ฌ๐ท Greece21 sites
๐จ๐ญ Switzerland21 sites
๐ท๐ด Romania19 sites
๐ฆ๐น Austria17 sites
๐ณ๐ด Norway16 sites
๐ฉ๐ฐ Denmark13 sites
๐จ๐ฑ Chile11 sites
๐ต๐ช Peru10 sites
๐ฒ๐ฝ Mexico9 sites
๐ฎ๐ฑ Israel8 sites
๐บ๐ฆ Ukraine8 sites
๐ฏ๐ต Japan8 sites
๐ง๐ฌ Bulgaria7 sites
๐ฎ๐ช Ireland6 sites
๐ฟ๐ฆ South Africa6 sites
๐ฆ๐ช United Arab Emirates5 sites
๐ท๐บ Russian Federation5 sites
๐ญ๐ท Croatia5 sites
๐จ๐ฟ Czechia5 sites
๐น๐ญ Thailand4 sites
๐ซ๐ฎ Finland4 sites
๐ฎ๐ท Iran, Islamic Republic of4 sites
๐ธ๐ฐ Slovakia4 sites
๐ฎ๐ฉ Indonesia4 sites
๐ช๐ช Estonia4 sites
๐ญ๐บ Hungary4 sites
๐ธ๐ฌ Singapore3 sites
๐ฉ๐ด Dominican Republic3 sites
๐ณ๐ฟ New Zealand3 sites
๐ฆ๐ฟ Azerbaijan2 sites
๐ธ๐ฆ Saudi Arabia2 sites
๐จ๐ท Costa Rica2 sites
๐ต๐พ Paraguay2 sites
๐จ๐ณ China2 sites
๐ฒ๐ฆ Morocco2 sites
๐ต๐น Portugal2 sites
๐ต๐ท Puerto Rico2 sites
๐ฒ๐น Malta2 sites
๐ป๐ณ Viet Nam1 sites
๐ฒ๐ฐ North Macedonia1 sites
๐ธ๐ฝ Sint Maarten (Dutch part)1 sites
๐ฌ๐น Guatemala1 sites
๐น๐ท Turkey1 sites
๐ฒ๐ฉ Moldova, Republic of1 sites
๐ฐ๐ฟ Kazakhstan1 sites
๐ง๐พ Belarus1 sites
๐ฌ๐ช Georgia1 sites
๐บ๐พ Uruguay1 sites
๐ฐ๐ท Korea, Republic of1 sites
๐ณ๐ต Nepal1 sites
๐จ๐ฎ Cรดte d'Ivoire1 sites
๐ต๐ฆ Panama1 sites
๐ธ๐ฎ Slovenia1 sites
๐ฒ๐พ Malaysia1 sites
๐น๐ผ Taiwan, Province of China1 sites
๐ธ๐จ Seychelles1 sites
๐ณ๐ฆ Namibia1 sites
๐ฏ๐ช Jersey1 sites
๐ฆ๐ฑ Albania1 sites
๐ฝ๐ฐ Kosovo1 sites
๐ฒ๐ถ Martinique1 sites
๐ฑ๐น Lithuania1 sites
๐จ๐ด Colombia1 sites
๐ช๐จ Ecuador1 sites
๐ฐ๐ญ Cambodia0 sites
About Elasticsearch
Elasticsearch is a search and analytics engine that provides observability and enterprise search, with easy deployment on Google Cloud, AWS, and Microsoft Azure.
Categories
Official website
www.elastic.coโ
Frequently asked
What is Elasticsearch and what are its primary use-cases?โบ
Elasticsearch is a powerful, distributed, open-source search and analytics engine built on Apache Lucene. It enables users to search, analyze, and explore large volumes of data quickly and in near real-time. Its primary use-cases include full-text search, log and event data analysis, and big data analytics.
What kind of data can be stored in Elasticsearch?โบ
Elasticsearch can store structured, unstructured, and semi-structured data in the form of JSON documents. These documents can represent any kind of data, such as text, numbers, dates, and even binary data like images and audio files.
How does Elasticsearch achieve high availability and scalability?โบ
Elasticsearch achieves high availability and scalability through its distributed architecture. Data is divided into smaller chunks called "shards", which are distributed across multiple nodes within a cluster. This allows Elasticsearch to distribute data processing and search operations across multiple nodes, providing both horizontal scalability and fault tolerance.
What is an index in Elasticsearch, and how is it different from an index in a traditional database?โบ
An index in Elasticsearch is a collection of documents with similar characteristics, similar to a table in a traditional database. However, unlike traditional databases, Elasticsearch indexes can store large volumes of data and support advanced search and analysis capabilities. An index is the primary unit of search and analysis in Elasticsearch, and it is optimized for high-speed retrieval of relevant documents based on specified criteria.
How do Elasticsearch and Kibana work together?โบ
Elasticsearch and Kibana are both part of the Elastic Stack. Elasticsearch serves as the powerful search and analytics engine, while Kibana acts as the visualization and user interface layer. Kibana connects to Elasticsearch indexes and provides a web-based, easy-to-use interface for users to search, analyze, and visualize their data stored in Elasticsearch, without the need for complex queries or programming.