CrateDBEuropean real-time analytics database for live operational data
vs
QdrantOpen-Source Vector Search Engine written in Rust
Comparison · Vector Databases · weekly run Nov 2
CrateDB 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 CrateDB.
Choose CrateDB if…
- You need ISO 27001 (CrateDB Cloud on AWS and Azure) or SOC 2 Type II coverage
- Handles massive time-series, IoT, and operational data in real time
- Strong for high-volume real-time analytics
- Horizontal scalability with SQL access
Choose Qdrant if…
- You want the brand AI engines rank higher (60.5 vs 0)
- AI answers describe it more positively (68% vs 0% 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 | CrateDB | Qdrant |
|---|---|---|
| Visibility score | 0% | 60.5% |
| Change vs last week | New | New |
| Rank in Vector Databases | #29 | #2 |
| Share of voice | 0% | 13.4% |
| Mentions this run | 0 | 63 |
| Positive in AI answers | 0% | 68% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
CrateDB 0pp · Qdrant 0pp over 0 weekly runs.
Engine by engine
Qdrant leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
CrateDBQdrant
Head to head in AI answers
0 engine answers name both brands
0CrateDB ranked higher
0Qdrant ranked higher
Features, pricing & fit
| Dimension | CrateDB | Qdrant |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $0.073 / mo | Contact sales |
| Free plan | Yes | Yes |
| Deployment | On-prem, at the edge, in public or private cloud, or fully managed on CrateDB Cloud or STACKIT. | Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge |
| Compliance | ISO 27001 (CrateDB Cloud on AWS and Azure), SOC 2 Type II | SOC 2 Type 2, HIPAA |
| Support | Development support (free plan), Basic support (included with dedicated plans), Premium support (optional) | 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 | 2013 | 2021 |
| Headquarters | Vienna, Austria | Berlin, Germany |
| Employees | 11–50 | 51–200 |
| Funding | Seed round (per Caplight, amount not stated) | Series B · $88M raised |
| Best for | Teams with high-volume, high-cardinality operational data, such as sensor, telemetry and event streams, who need real-time analytics, search and vector queries without ETL. | 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
CrateDB
Shared$0.073hour (starting)
Dedicated$0.246hour (starting, incl. basic support)
CustomCustomcontact us
Qdrant
Free Tier$0forever
Standard TierCustomusage-based
Premium TierCustomminimum spend required
Pros and cons
Themes from the AI answers that mention each brand
CrateDB
- Handles massive time-series, IoT, and operational data in real time
- Strong for high-volume real-time analytics
- Horizontal scalability with SQL access
- Weaker than full transactional guarantees
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, “CrateDB vs Qdrant”, https://slateindex.ai/compare/cratedb-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.