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Head-to-head · Ai Databases

Elasticsearch vs Amazon OpenSearch Service

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Elasticsearch #6 in Ai Databases 8.4/10 Free plan · 14-day trial Free planFree trial✓ 0 of 3 features Visit Elasticsearch
Amazon OpenSearch Service #8 in Ai Databases 8.2/10 Paid ✓ 2 of 3 features Visit AWS

Elasticsearch leads on 1 check, Amazon OpenSearch Service on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreElasticsearch · 8.4/10
  • Free planonly Elasticsearch
  • Free trialonly Elasticsearch
  • Most featuresAmazon OpenSearch Service · 2 of 3

Elasticsearch scores higher on our rubric for ai databases: 8.4 against 8.2 out of 10; our editors rank them #6 and #8.

Elasticsearch offers free plan; Amazon OpenSearch Service doesn't.

Elasticsearch is the better fit for teams combining vector retrieval with established search. Amazon OpenSearch Service is the better fit for AWS users building managed vector search and RAG.

  • Elasticsearch fits best

    Teams combining vector retrieval with established search

  • Amazon OpenSearch Service fits best

    AWS users building managed vector search and RAG

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Elasticsearch 8.4/10 Visit ↗ Amazon OpenSearch Service 8.2/10 Visit ↗
At a glance
Editor score 8.4 8.2
Ranking #6 in Ai Databases #8 in Ai Databases
Best for Teams combining vector retrieval with established search AWS users building managed vector search and RAG
Pricing model Free plan + paid Paid
Starting price — Not checked yet
Free plan ✓ (best) —
Free trial 14 days —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Phone, Live chat · 24/7 Live chat, Tickets, Docs
Integrations 3 integrations 13 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Elasticsearch 0/3 · Amazon OpenSearch Service 2/3
Metadata filtering Not checked yet ✓ (best)
Hybrid search Not checked yet ✓ (best)
Managed backups Not checked yet Not checked yet
Specs
Deployment Not checked yet Not checked yet
Index types Not checked yet Not checked yet
Max vector dimensions Not checked yet 16000
Our review
Pros
  • Combines lexical, vector, semantic, and hybrid search
  • Supports filtering, aggregations, and geospatial search
  • Offers self-managed and managed cloud deployments
  • Combines vector and lexical search, with metadata filtering.
  • Offers serverless collections with automatic scaling and scale-to-zero.
  • Connects with AWS services including S3, Kinesis, and Bedrock.
Cons
  • Paid Elastic Cloud Hosted starts at $99 per month
  • Paid tiers add features in steps across multiple plans
  • Self-managed Basic differs from the managed cloud offering
  • Paid, usage-based pricing varies by deployment model and Region.
  • Requires AWS ecosystem fit for its broadest integration value.
  • Managed domains require choices for compute and storage configuration.
Our verdict

Elasticsearch is a distributed search and analytics engine for structured, unstructured, and vector data. It suits teams that need vector or semantic retrieval alongside established full-text search, filtering, aggregations, and real-time…

Read the review →

For teams building search, analytics, observability, or AI applications on AWS, Amazon OpenSearch Service provides managed OpenSearch domains and serverless collections. Its vector features support k-nearest-neighbor retrieval, semantic…

Read the review →
  1. ElasticsearchAi Databases 8.4Free plan · 14-day trial
  2. Amazon OpenSearch ServiceAi Databases 8.2Paid

Strengths and trade-offs

  • Elasticsearch — where it wins

    • Combines lexical, vector, semantic, and hybrid search
    • Supports filtering, aggregations, and geospatial search
    • Offers self-managed and managed cloud deployments

    Where it doesn't

    • Paid Elastic Cloud Hosted starts at $99 per month
    • Paid tiers add features in steps across multiple plans
    • Self-managed Basic differs from the managed cloud offering

  • Amazon OpenSearch Service — where it wins

    • Combines vector and lexical search, with metadata filtering.
    • Offers serverless collections with automatic scaling and scale-to-zero.
    • Connects with AWS services including S3, Kinesis, and Bedrock.

    Where it doesn't

    • Paid, usage-based pricing varies by deployment model and Region.
    • Requires AWS ecosystem fit for its broadest integration value.
    • Managed domains require choices for compute and storage configuration.
  • Elasticsearch8.4/10 · Free plan · 14-day trial

    A flexible search engine for teams adding vector and hybrid retrieval to established search.

    Visit ElasticsearchFull verdict →
  • Amazon OpenSearch Service8.2/10 · Paid

    A managed AWS option for teams combining vector retrieval with lexical search.

    Visit AWSFull verdict →

More comparisons

All ai databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update