What AI says about OpenSearch

Since Jul 5Updated Oct 28, 2026Based on 38,466 AI responsesReviewed by

How we measure

AI summary

OpenSearch is an open-source search and observability suite that includes tools like OpenSearch Dashboards and the OpenSearch Vector Engine for ingestion, visualization, and vector retrieval. It is regularly recommended for teams transitioning to self-hosted open-source logging infrastructure to save money and for developers seeking an on-premise vector database that supports hybrid keyword and semantic search.

Mentioned in

9%

of AI answers about OpenSearch and its rivals

Mentioned in

  1. #1Grafana LokiMentioned in 81%Avg. position 4.8
  2. #2DatadogMentioned in 47%Avg. position 5.3
  3. #3SplunkMentioned in 42%Avg. position 6.0
  4. #4BetterStackMentioned in 33%Avg. position 5.1
  5. #5tiedOpenSearchMentioned in 29%Avg. position 7.5
  6. #5tiedElasticsearchMentioned in 28%Avg. position 7.3
  7. #8tiedOpenObserveMentioned in 24%Avg. position 6.2
  8. #10tiedSigNozMentioned in 21%Avg. position 6.6
  9. #10tiedGraylogMentioned in 19%Avg. position 6.7
  10. #10tiedClickHouseMentioned in 18%Avg. position 7.1
  11. #15tiedVectorMentioned in 18%Avg. position 4.6
  12. #15tiedFluent BitMentioned in 17%Avg. position 5.0
  13. #17tiedAmazon S3Mentioned in 13%Avg. position 6.5
  14. #17tiedGoogle Cloud StorageMentioned in 13%Avg. position 8.3

Topics where AI mentions OpenSearch

TopicMentioned in · on this topic

How AI describes OpenSearch

Common descriptions

excellent · powerful · open-source · resource-heavy · community-driven · cost-effective

Tone of AI’s statements about OpenSearch

  • Positive28%
  • Neutral62%
  • Mixed6%
  • Negative4%
Rated above a rival
  • licensingEvery answer comparing OpenSearch on licensing rates it better than a rival.
  • pricingAI is mixed on pricing: 41% of the answers comparing OpenSearch rate it worse than a rival, 59% better. Includes “cost”, “cost and scalability”, “cost at scale”, “cost efficiency”, “cost profile”, “cost and ease”, “cost and resource usage”, “cost and size”, “cost control”, “cost efficiency for long retention”, “high-volume logs + strong querying + lower cost”, “index heavy and cost”, “infra cost”, “licensing cost”, “long-term storage cost”, “long term storage cost”, “operational cost”, “price”, “scaling cost”, “storage cost”.
  • ease of useAI is mixed on ease of use: 65% of the answers comparing OpenSearch rate it worse than a rival, 35% better. Includes “complexity”, “configuration complexity”, “deployment complexity”, “engineering complexity”, “operational complexity”, “ops complexity”, “setup complexity”, “ui and ease of use”, “usability”.

Question: How can I set up security monitoring workflows that analyze system and application logs to identify malicious activity on a limited budget?

Google AI ModeOct 28, 2026

centralized low-cost storage/search engine (like OpenSearch or Grafana Loki)

Google AI ModeOct 25, 2026

It uses an agent architecture and integrates with OpenSearch for a slick dashboard.

Google AI ModeAsk Google AI Mode yourself (opens in a new tab)ChatGPTAsk ChatGPT yourself (opens in a new tab)

Question: Which log management platforms can tier older data to low-cost storage while keeping it searchable for audits?

ChatGPTOct 5, 2026

OpenSearch supports searchable snapshots, where the index remains in snapshot/object storage and data is fetched on demand rather than restoring the entire index.

ChatGPTAsk ChatGPT yourself (opens in a new tab)Google AI ModeAsk Google AI Mode yourself (opens in a new tab)

How often AI mentions OpenSearch

Share of answers in Log Management & Observability Platforms each week · since Jul 5

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Sep 3OctOct 22

How prominently AI mentions OpenSearch

Position in answers

  • Named first3%
  • 2nd or 3rd17%
  • Later80%

Each engine’s share of its own answers across OpenSearch’s markets

  • ChatGPT11%
  • Google AI Mode7%

Insights for OpenSearch

Since Jul 5

  • Gap between platforms: The platform gap for OpenSearch in Log Management & Observability Platforms narrowed to 10 points, ChatGPT Search ahead

    ChatGPTChatGPT35%Google AI ModeGoogle AI Mode25%
  • Gap between platforms: The platform gap for OpenSearch in Vector Database Platforms narrowed to 10 points, ChatGPT Search ahead

    ChatGPTChatGPT32%Google AI ModeGoogle AI Mode22%
  • Gap between platforms: A 7.1-point platform gap for OpenSearch in Product Search and Discovery Platforms

    ChatGPTChatGPT14%Google AI ModeGoogle AI Mode7%

Sources AI cites

opensearch.org 17%Other sites 83%

The page AI cites most for OpenSearch