G2 Vendor Directory

Azure AI Search vs. Elasticsearch

A side-by-side comparison based on G2 review data.

MetricAzure AI Search

by Microsoft

Elasticsearch

by Elastic

Overall rating4.44.5
Review count34315
Ease of use8.58.7
Ease of setup8.48.7
Quality of support8.78.8
Meets requirements8.79.1
NPS66.66666767.973856
Small Business38.2%30.3%
Mid-Market41.2%36.3%
Enterprise20.6%33.4%
Total page views1931,562
Total LLM citations1,54714,644

Azure AI Search

Azure AI Search is an enterprise knowledge system designed to power sophisticated retrieval-augmented generation (RAG) applications and enterprise search engines. By integrating advanced AI and search technologies, it enables organizations to build end-to-end RAG systems that are optimized for application excellence, enterprise readiness, and rapid market deployment. Key Features and Functionality: - Hybrid Search Capabilities: Executes both text (keyword) and vector searches in a single query, merging results using Reciprocal Rank Fusion (RRF).

Pros

  • Easy Integrations
  • Ease of Use
  • Helpful
  • Customizable Search
  • Results
  • Features

Elasticsearch

Build next generation search experiences for your customers and employees that support your organization’s technology objectives. Elasticsearch gives developers a flexible toolkit to build AI-powered search applications with an extensible platform that also provides out of the box capabilities Save development cycles and get upgraded search to market faster. Elasticsearch is the world’s most popular search engine, backed by a robust developer community.

Pros

  • Ease of Use
  • Speed
  • Fast Search
  • Results
  • Features
  • Search Efficiency