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 score | 60.5% | 7.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #2 | #10 |
| Share of voice | 13.4% | 3% |
| Mentions this run | 63 | 14 |
| Positive in AI answers | 68% | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Qdrant 0pp · Redis 0pp over 0 weekly runs.
Engine by engine
Qdrant leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
QdrantRedis
Head to head in AI answers
11 engine answers name both brands
8Qdrant ranked higher
3Redis ranked higher
| Prompt | Engine | Qdrant | Redis |
|---|---|---|---|
| How do I choose a vector database for a mid-market team? | AI Mode | #2 | #6 |
| How do companies store and search embeddings without a dedicated tool? | AI Mode | #2 | #6 |
| What are the best Vector Databases tools in 2026? | ChatGPT | #2 | #9 |
| What are the best Vector Databases tools in 2026? | AI Mode | #3 | #9 |
| Alternatives to the most popular vector database | Perplexity | #2 | #6 |
| Which Vector Databases vendors do analysts recommend? | ChatGPT | #2 | #7 |
| Which vector database offers a free trial? | Perplexity | #6 | #5 |
| Which Vector Databases tools offer annual discounts? | ChatGPT | #7 | #5 |
| Which Vector Databases tools offer annual discounts? | Perplexity | #3 | #2 |
| Official website of the top vector database vendors | ChatGPT | #3 | #7 |
| Official website of the top vector database vendors | Perplexity | #2 | #7 |
Features, pricing & fit
| Dimension | Qdrant | Redis |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Contact sales | Free; paid from $0.007 / mo |
| Free plan | Yes | Yes |
| Deployment | Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge | Managed cloud service (Redis Cloud) on AWS, Azure and Google Cloud, plus on-premises and hybrid deployment with Redis Software. |
| Compliance | SOC 2 Type 2, HIPAA | SOC 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 |
| 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 | Community support on the free plan, Basic support on Essentials plans, Redis support team on paid plans, Knowledge base |
| Founded | 2021 | 2011 |
| Headquarters | Berlin, Germany | San Francisco, CA |
| Employees | 51–200 | 1,001–5,000 |
| Funding | Series B · $88M raised | Series D |
| Best for | Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed | Developers 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
Redis
Free$0month
Essentials$0.007hour (from; total $5/month)
Pro$0.014hour (from; minimum $200/month)
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.