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Elasticsearch

Elasticsearch

A B Testing·www.elastic.co ↗
Search Engines

Elasticsearch is a software development company that offers expert solutions to its customer base that comprises top brands and platforms. It is headquartered in Mountain View, California. It offers expertise in the areas of observability and enterprise search. Elasticsearch also places a high priority on security and the smooth running of important applications. Elasticsearch offers easy deployment. It is available for deployment on Google cloud, Amazon Web Services and Microsoft Azure. It gives users the option to choose their approach to development as well. It provides analytics and delivers actionable insights. It uses the best practices in the industry and also provides a high degree of responsiveness through data replication.

17,745
websites using Elasticsearch
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Websites using Elasticsearch by countrymarket share · top 8 countries
🇮🇳India
0.1%
🇩🇪Germany
0.1%
🇦🇺Australia
0%
🇨🇦Canada
0%
🇫🇷France
0%
🇷🇴Romania
0%
🇦🇹Austria
0%
🇮🇹Italy
0%
0%0%0%0.1%0.1%
Websites using Elasticsearch by industrydetected industries
Shopping · 50%SaaS & Cloud · 38%Education · 13%MARKETSHARE
Shopping50%
SaaS & Cloud38%
Education13%

Websites using Elasticsearch

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Frequently asked

What is Elasticsearch and what are its primary use-cases?›
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?›
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?›
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?›
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?›
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.

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