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PostgreSQLThe world's most advanced open source database
vs
QdrantOpen-Source Vector Search Engine written in Rust
Comparison · Vector Databases · weekly run Nov 2

PostgreSQL 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 49 for PostgreSQL, and ranks ahead in 75% of the answers that name both.

Choose PostgreSQL if…

  • Free open-source software
  • Adds vector search to an existing PostgreSQL database without a new database
  • Wide compatibility with drivers, BI tools, and language ecosystems
  • Broad deployment and transparent self-hosted pricing

Choose Qdrant if…

  • You want the brand AI engines rank higher (60.5 vs 49)
  • AI answers describe it more positively (68% vs 35% positive)
  • You need a self-hosted or on-premises option
  • You need SOC 2 Type 2 or HIPAA coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric PostgreSQL Qdrant
Visibility score49%60.5%
Change vs last weekNewNew
Rank in Vector Databases#3#2
Share of voice12.6%13.4%
Mentions this run5963
Positive in AI answers35%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 2PostgreSQL 49%

PostgreSQL 0pp · Qdrant 0pp over 0 weekly runs.

Engine by engine

Qdrant leads on 2 of 3 engines

ChatGPT
44.3%
71.8%
AI Mode
42.8%
59.4%
Perplexity
59.8%
50.2%
PostgreSQLQdrant

Head to head in AI answers

48 engine answers name both brands

12PostgreSQL ranked higher
36Qdrant ranked higher

Features, pricing & fit

DimensionPostgreSQLQdrant
Pricing model—Usage-based
Entry price—Contact sales
Free plan—Yes
Deployment—Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge
Compliance—SOC 2 Type 2, HIPAA
SupportCommunity mailing lists, Community events and local user groupsCommunity 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
HeadquartersUnited StatesBerlin, Germany
Employees51–20051–200
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

PostgreSQL

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

PostgreSQL

  • Free open-source software
  • Adds vector search to an existing PostgreSQL database without a new database
  • Wide compatibility with drivers, BI tools, and language ecosystems
  • Broad deployment and transparent self-hosted pricing
  • Hosting, backups, and maintenance must be paid for when self-hosted

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, “PostgreSQL vs Qdrant”, https://slateindex.ai/compare/postgresql-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.