QdrantOpen-Source Vector Search Engine written in Rust
vs
VespaThe AI Search Platform for fast, accurate AI search
Comparison · Vector Databases · weekly run Nov 2
Qdrant vs Vespa
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 3.8 for Vespa, and ranks ahead in 100% of the answers that name both.
Choose Qdrant if…
- You want the brand AI engines rank higher (60.5 vs 3.8)
- AI answers describe it more positively (68% vs 67% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or HIPAA coverage
Choose Vespa if…
- Massive-scale big data serving engine and AI search platform
- Billion-scale hybrid search with native tensor calculations
- Suited to sophisticated recommendation, ranking, and personalization with custom ranking logic
- High-throughput serving
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Qdrant | Vespa |
|---|---|---|
| Visibility score | 60.5% | 3.8% |
| Change vs last week | New | New |
| Rank in Vector Databases | #2 | #17 |
| Share of voice | 13.4% | 1.9% |
| Mentions this run | 63 | 9 |
| Positive in AI answers | 68% | 67% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Qdrant 0pp · Vespa 0pp over 0 weekly runs.
Engine by engine
Qdrant leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
QdrantVespa
Head to head in AI answers
9 engine answers name both brands
9Qdrant ranked higher
0Vespa ranked higher
| Prompt | Engine | Qdrant | Vespa |
|---|---|---|---|
| What are the best Vector Databases tools in 2026? | ChatGPT | #2 | #7 |
| What are the best Vector Databases tools in 2026? | Perplexity | #1 | #8 |
| Compare the leading Vector Databases platforms | Perplexity | #3 | #10 |
| Alternatives to the most popular vector database | ChatGPT | #2 | #7 |
| Alternatives to the most popular vector database | AI Mode | #3 | #6 |
| Which Vector Databases vendors do analysts recommend? | ChatGPT | #2 | #4 |
| Official website of the top vector database vendors | ChatGPT | #3 | #5 |
| Official website of the top vector database vendors | AI Mode | #3 | #8 |
| Official website of the top vector database vendors | Perplexity | #2 | #6 |
Features, pricing & fit
| Dimension | Qdrant | Vespa |
|---|---|---|
| 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 | Open source for self-hosting, Vespa Cloud fully managed on AWS and Google Cloud marketplaces, and Enclave, which runs hosts in the customer's own cloud account. |
| Compliance | SOC 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 | Developer center and documentation, Vespa Slack community |
| Founded | 2021 | 2023 |
| Headquarters | Berlin, Germany | Trondheim, Norway |
| Employees | 51–200 | 51–200 |
| Funding | Series B · $88M raised | Series A, led by Blossom Capital · $31M 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 | Teams building search, retrieval-augmented generation, recommendation and personalization applications that must run at large scale. |
Plans side by side
Qdrant
Free Tier$0forever
Standard TierCustomusage-based
Premium TierCustomminimum spend required
Vespa
Pricing not available.
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
Vespa
- Massive-scale big data serving engine and AI search platform
- Billion-scale hybrid search with native tensor calculations
- Suited to sophisticated recommendation, ranking, and personalization with custom ranking logic
- High-throughput serving
- Recognised by analysts among strongest vector database vendors
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Qdrant vs Vespa”, https://slateindex.ai/compare/qdrant-vs-vespa, data of Nov 2, 2026. Licence: CC BY 4.0.