Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases, including log and event data analysis, full-text search, and real-time data exploration. It allows for the storage, search, and analysis of large volumes of data quickly and in near real-time.
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About Elasticsearch
Elasticsearch was created in 2010 by Shay Banon to address the need for a scalable search solution that could handle large volumes of data efficiently. It evolved from an earlier project called Compass, which Banon developed to assist his wife in managing her cooking recipes. Over time, Elasticsearch became widely adopted for its powerful search capabilities and ease of use.
Strengths of Elasticsearch include its scalability, speed, and powerful full-text search capabilities. Weaknesses include complex cluster management and potential performance issues with large-scale deployments. Competitors of Elasticsearch are Apache Solr, Amazon OpenSearch Service, and Microsoft Azure Cognitive Search.
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How to hire a Elasticsearch expert
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 97K
$ 127K
$ 54K
$ 73K
$ 224K
Employer Cost
$ 127K
Employer Cost
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$ 97K
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