Software · head to head
Qdrant vs Apache Druid
Qdrant
Software
High-performance vector database for similarity search and embedding-based retrieval
- From
- Free
- Rated
- -
Apache Druid
Software
Real-time analytics database for sub-second OLAP queries
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments; Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features
Where they differ
Only the attributes on which Qdrant and Apache Druid actually diverge.
| Attribute | Qdrant | Apache Druid |
|---|---|---|
| Pricing model | freemium | open-source |
| Platforms | Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming) | Docker, Kubernetes, Native deployment (Java-based) |
| Founded | Unknown | 1999 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Qdrant
Nothing recorded that Apache Druid does not also cover.
Only in Apache Druid
- Real-time Ingestion
- Sub-second Queries
- Column-oriented Storage
- Streaming Integration
- Approximate Algorithms
- Flexible Schemas
- Time-based Partitioning
- Kafka
What people use each for
The jobs each tool is most often brought in to do.
Qdrant
- Retrieval-augmented generation (RAG) backends for LLM applicationsnot Apache Druid
- Semantic search across large document corporanot Apache Druid
- Multimodal retrieval (text, images, video) for recommendation systemsnot Apache Druid
- Similarity-based product or content recommendationsnot Apache Druid
- Real-time vector indexing for streaming embedding datanot Apache Druid
Apache Druid
- Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Qdrant
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Qdrant
- Time-series and event analysis at massive scale with columnar storage efficiencynot Qdrant
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Qdrant
- Free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
- Standard and Premium pricing usage-based; specific costs not published; requires calculator or quote
- Requires understanding of embeddings and vector search concepts; not suitable for SQL-only teams
- Early-stage serverless offering (coming soon) suggests maturity gaps in that deployment model
Apache Druid
- Open-source offering lacks high-availability, distributed architecture, and enterprise security features
- Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
- High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment
Pricing, plan by plan
Qdrant
Free- FreeFree
- Single-node cluster
- 0.5 vCPU
- 1GB RAM
- Standard$null/usage-based
- Dedicated resources
- Flexible scaling
- High availability
- Premium$null/minimum spend
- SSO and SAML
- Private VPC links
- 99.9% uptime SLA
Apache Druid
FreeNo published plan breakdown. See the Apache Druid review.
Which should you pick?
Choose Qdrant if
- You want to start without paying.
- You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Choose Apache Druid if
- You need real-time ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Native deployment (Java-based).
- You also want sub-second queries.
Questions people ask
- Is Qdrant or Apache Druid better?
- Neither clearly leads. Qdrant starts at Free and Apache Druid at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Qdrant or Apache Druid?
- Qdrant starts at Free and Apache Druid at Free.
- Does Qdrant or Apache Druid run on more platforms?
- Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming). Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based).
- Can I use Qdrant for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Qdrant best used for?
- Qdrant is most often used for retrieval-augmented generation (rag) backends for llm applications, semantic search across large document corpora, multimodal retrieval (text, images, video) for recommendation systems, similarity-based product or content recommendations. Of those, retrieval-augmented generation (rag) backends for llm applications and semantic search across large document corpora are not what Apache Druid is typically brought in for.
- What can Qdrant do that Apache Druid cannot?
- Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.