DataStax Astra DB 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 3 for DataStax Astra DB, and ranks ahead in 80% of the answers that name both.
Choose DataStax Astra DB if…
- You need PCI DSS or SOC 2 or ISO/IEC 27001 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Integrated vector search in one serverless NoSQL database
- Annual commitment and volume discounts
Choose Qdrant if…
- You want the brand AI engines rank higher (60.5 vs 3)
- You need SOC 2 Type 2 coverage
- High performance and memory efficiency, written in Rust
- Strong metadata and complex payload filtering
AI visibility side by side
Latest weekly run · Nov 2
| Metric | DataStax Astra DB | Qdrant |
|---|---|---|
| Visibility score | 3% | 60.5% |
| Change vs last week | New | New |
| Rank in Vector Databases | #18 | #2 |
| Share of voice | 1.1% | 13.4% |
| Mentions this run | 5 | 63 |
| Positive in AI answers | — | 68% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
DataStax Astra DB 0pp · Qdrant 0pp over 0 weekly runs.
Engine by engine
Qdrant leads on 3 of 3 engines
Head to head in AI answers
5 engine answers name both brands
| Prompt | Engine | DataStax Astra DB | Qdrant |
|---|---|---|---|
| Which Vector Databases vendors do analysts recommend? | Perplexity | #7 | #2 |
| Which Vector Databases tools offer annual discounts? | ChatGPT | #1 | #7 |
| Which Vector Databases tools offer annual discounts? | AI Mode | #5 | #3 |
| Official website of the top vector database vendors | Perplexity | #10 | #2 |
| Where can I sign up for a vector database? | AI Mode | #5 | #2 |
Features, pricing & fit
| Dimension | DataStax Astra DB | Qdrant |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | Yes |
| Deployment | Cloud database-as-a-service; HCD for on-premises or private cloud | Managed cloud, hybrid cloud, private cloud (air-gapped), self-hosted on-premises, and edge |
| Compliance | HIPAA, PCI DSS, SOC 2, ISO/IEC 27001 | SOC 2 Type 2, HIPAA |
| Support | Documentation | 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 | — | 2021 |
| Headquarters | — | Berlin, Germany |
| Employees | 5,000+ | 51–200 |
| Funding | Undisclosed round (last round per Tracxn) | Series B · $88M raised |
| Best for | Enterprises building generative AI and retrieval-augmented generation applications that need scalable NoSQL storage with vector search. | 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
DataStax Astra DB
Pricing not available.
Qdrant
Pros and cons
Themes from the AI answers that mention each brand
DataStax Astra DB
- Integrated vector search in one serverless NoSQL database
- Annual commitment and volume discounts
- Built on Apache Cassandra
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, “DataStax Astra DB vs Qdrant”, https://slateindex.ai/compare/datastax-astra-db-vs-qdrant, data of Nov 2, 2026. Licence: CC BY 4.0.