OpenSearch (AWS) vs PostgreSQL pgvector

OpenSearch (AWS) vs PostgreSQL pgvector: side-by-side comparison of two search platforms (non-memory) systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.

OpenSearch (AWS) · PostgreSQL pgvector

Cost & capability

OpenSearch (AWS)PostgreSQL pgvector
Cost tiersearched not foundsearched not found
$/Mtok inputsearched not foundsearched not found
$/Mtok outputsearched not foundsearched not found

Where they differ (2)

Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.

OpenSearch (AWS)PostgreSQL pgvector
TypeOpen Elasticsearch forkPostgres vector extension
LicenseApache-2.0PostgreSQL

At a glance

OpenSearch (AWS)PostgreSQL pgvector
SectionSearch platforms (non-memory) Search platforms (non-memory)
TierT1 T1
TypeOpen Elasticsearch fork Postgres vector extension
Created2021 2021
Latest releasesearched not found searched not found
LicenseApache-2.0 PostgreSQL
GitHubsearched not found searched not found
Pricingsearched not found searched not found
Fundingsearched not found searched not found
Backend storagesearched not found searched not found
Deploymentsearched not found searched not found
API surfacesearched not found searched not found
Embeddingsearched not found searched not found
Multi-tenancysearched not found searched not found
MCPsearched not found searched not found
A2Asearched not found searched not found
OpenTelemetrysearched not found searched not found
Optimised forsearched not found searched not found
Anti-fitsearched not found searched not found

Taxonomy

AxisOpenSearch (AWS)PostgreSQL pgvector
storagen/an/a
retrievaln/an/a
persistencen/an/a
updaten/an/a
unitn/an/a
governancen/an/a
conflictn/an/a

Pros & cons

OpenSearch (AWS)

Pros: searched not found

Cons: searched not found

PostgreSQL pgvector

Pros: searched not found

Cons: searched not found

Rows last verified 2026-05-14 / 2026-05-14. Data is CC-BY-4.0 — see how to read this.