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QdrantOpen-Source Vector Search Engine written in Rust
vs
RedisReal-time data for agents & apps
Comparison · Vector Databases · weekly run Nov 2

Qdrant vs Redis

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 7.7 for Redis, and ranks ahead in 73% of the answers that name both.

Choose Qdrant if…

  • You want the brand AI engines rank higher (60.5 vs 7.7)
  • AI answers describe it more positively (68% vs 33% positive)
  • You need SOC 2 Type 2 coverage
  • High performance and memory efficiency, written in Rust

Choose Redis if…

  • You need SOC 2 or ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or ISO 42001 or ISO 22301 or ISO 9001 or PCI DSS or GDPR or CCPA or CSA STAR or VPAT or FIPS 140-3 coverage
  • You prefer a larger, established vendor (1,001–5,000 employees)
  • low-latency vector search alongside caching
  • ideal for consolidated enterprise stacks

AI visibility side by side

Latest weekly run · Nov 2

Metric Qdrant Redis
Visibility score60.5%7.7%
Change vs last weekNewNew
Rank in Vector Databases#2#10
Share of voice13.4%3%
Mentions this run6314
Positive in AI answers68%33%

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 2Qdrant 61%

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

Engine by engine

Qdrant leads on 3 of 3 engines

ChatGPT
71.8%
6.1%
AI Mode
59.4%
3.5%
Perplexity
50.2%
13.5%
QdrantRedis

Head to head in AI answers

11 engine answers name both brands

8Qdrant ranked higher
3Redis ranked higher

Features, pricing & fit

DimensionQdrantRedis
Pricing modelUsage-basedUsage-based
Entry priceContact salesFree; paid from $0.007 / mo
Free planYesYes
DeploymentManaged cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edgeManaged cloud service (Redis Cloud) on AWS, Azure and Google Cloud, plus on-premises and hybrid deployment with Redis Software.
ComplianceSOC 2 Type 2, HIPAASOC 2, ISO 27001, ISO 27017, ISO 27018, ISO 27701, ISO 42001, ISO 22301, ISO 9001, PCI DSS, HIPAA, GDPR, CCPA, CSA STAR, VPAT, FIPS 140-3
SupportCommunity 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 servicesCommunity support on the free plan, Basic support on Essentials plans, Redis support team on paid plans, Knowledge base
Founded20212011
HeadquartersBerlin, GermanySan Francisco, CA
Employees51–2001,001–5,000
FundingSeries B · $88M raisedSeries D
Best forDevelopers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managedDevelopers and digital businesses building fast apps and real-time AI agents that need low-latency data access.

Plans side by side

Qdrant

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

Redis

Free$0month
Essentials$0.007hour (from; total $5/month)
Pro$0.014hour (from; minimum $200/month)
Redis pricing

Pros and cons

Themes from the AI answers that mention each brand

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

    Redis

    • low-latency vector search alongside caching
    • ideal for consolidated enterprise stacks
    • fits existing PostgreSQL or MongoDB stacks
    • annual plans offer significant savings
    • 14-day trial with up to $500 in solution-provider credits

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

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