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Answer-first summary52/100 GEO

Elasticsearch

Distributed search and analytics engine.

DatabaseFair citabilityVisit site →

Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Elasticsearch?
Distributed search and analytics engine.
What does Elasticsearch do?
Distributed RESTful search and analytics engine for storing, searching, and analyzing large volumes of data.
Who is Elasticsearch for?
Platform engineers, search developers, and data teams building real-time search, analytics, and observability applications.
Is Elasticsearch verified?
Elasticsearch is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
Elasticsearch logo

Elasticsearch

Invited

Distributed search and analytics engine.

DatabaseCH-VER-695057Listed September 10, 2026
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AI-Extractable Summary
What:Distributed search and analytics engine.
For whom:Platform engineers, search developers, and data teams building real-time search, analytics, and observability applications
Key outcome:Teams can deliver sub-second search and analytics across large datasets, improving discovery, monitoring, and decision-making at scale
Category:Database

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
69
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Teams can deliver sub-second search and analytics across large datasets, improving discovery, monitoring, and decision-making at scale.

About

Distributed RESTful search and analytics engine for storing, searching, and analyzing large volumes of data.

Target Audience: Platform engineers, search developers, and data teams building real-time search, analytics, and observability applications.
Not ideal for: Organizations that only need a simple transactional relational database or a lightweight catalog with minimal search and analytics requirements.

What makes it different

  • Distributed architecture that scales horizontally across clusters and indexes
  • Near real-time indexing and search for fast data freshness
  • Powerful full-text search combined with aggregations, filtering, and analytics
  • Flexible schema and REST/JSON APIs with strong support for structured and unstructured data

Tags & Classification

site searchlog analyticsapplication searchobservabilitysecurity analytics
platform engineersbackend developersdata engineerssite reliability engineers
ecommercesoftware as a servicefinancial servicescybersecurity
Platform: PlatformModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_elasticsearch,
  title = {Elasticsearch},
  url = {https://citablehub.com/p/elasticsearch},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-695057},
  year = {2026}
}
APA
Elasticsearch. (2026). CitableHub Software Index. https://citablehub.com/p/elasticsearch.
MLA
"Elasticsearch." CitableHub, 2026, https://citablehub.com/p/elasticsearch.