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SlateIndex
Amazon OpenSearchManaged retrieval engine for agentic AI, search, and analytics
vs
QdrantOpen-Source Vector Search Engine written in Rust
Comparison · Vector Databases · weekly run Nov 2

Amazon OpenSearch vs Qdrant

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Qdrant is the stronger AI pick in Vector Databases: it has a visibility score of 60.5 versus 0 for Amazon OpenSearch.

Choose Amazon OpenSearch if…

  • You need HIPAA eligible or PCI DSS or SOC or ISO or FedRAMP or DoD CC SRG or CSA STAR or FIPS 140-2 or ISO 27017 coverage
  • You prefer a larger, established vendor (5,000+ employees)

Choose Qdrant if…

  • You want the brand AI engines rank higher (60.5 vs 0)
  • You need a self-hosted or on-premises option
  • You need SOC 2 Type 2 or HIPAA coverage
  • High performance and memory efficiency, written in Rust

AI visibility side by side

Latest weekly run · Nov 2

Metric Amazon OpenSearch Qdrant
Visibility score0%60.5%
Change vs last weekNewNew
Rank in Vector Databases#28#2
Share of voice0%13.4%
Mentions this run063
Positive in AI answers—68%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Amazon OpenSearch 0%

Amazon OpenSearch 0pp · Qdrant 0pp over 0 weekly runs.

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT
0%
71.8%
AI Mode
0%
59.4%
Perplexity
0%
50.2%
Amazon OpenSearchQdrant

Head to head in AI answers

0 engine answers name both brands

0Amazon OpenSearch ranked higher
0Qdrant ranked higher

Features, pricing & fit

DimensionAmazon OpenSearchQdrant
Pricing model—Usage-based
Entry price—Contact sales
Free plan—Yes
DeploymentFully managed clusters or the Serverless optionManaged cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge
ComplianceHIPAA eligible, PCI DSS, SOC, ISO, FedRAMP, DoD CC SRG, CSA STAR, FIPS 140-2, ISO 27017SOC 2 Type 2, HIPAA
Support—Community support via Discord on the free tier, Standard tier: email and ticket portal, 10x5 business hours, Premium tier: 24/7 support with private Slack, Discord or Teams channels, Enterprise tier: custom response SLA and advisory services
Founded—2021
HeadquartersSeattle, WashingtonBerlin, Germany
Employees5,000+51–200
Funding—Series B · $88M raised
Best for—Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed

Plans side by side

Amazon OpenSearch

Pricing not available.

Qdrant

Free Tier$0forever
Standard TierCustomusage-based
Premium TierCustomminimum spend required
Qdrant pricing

Pros and cons

Themes from the AI answers that mention each brand

Amazon OpenSearch

Profile in progress.

Qdrant

  • High performance and memory efficiency, written in Rust
  • Strong metadata and complex payload filtering
  • Free tier for prototyping and testing
  • Open-source option with flexible self-hosting
  • Strong default choice for startups and production RAG

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Amazon OpenSearch vs Qdrant”, https://slateindex.ai/compare/amazon-opensearch-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.