Elasticsearch vs Qdrant
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Elasticsearch starts at See pricing page and Qdrant starts at See pricing page. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Vector embedding storage and search
- Elastic Agent Builder
- Kibana dashboards
- Jina AI search models
- Serverless, hosted or self-managed
- Observability and security use cases
- Payload filtering
- Quantization
- Hybrid sparse and dense search
- Multivector support
- Free cloud cluster
| Feature | Elasticsearch | Qdrant |
|---|---|---|
| Best for | Search engine and vector database for AI apps and agents | Fast open-source vector search engine written in Rust |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free trial | Freemium |
| Starting price | See pricing page | See pricing page |
| Free plan | No, trial available | Yes |
| Made by | Elastic | Qdrant |
| Based in | Netherlands | Germany |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Pricing compared
Elasticsearch starts at See pricing page and Qdrant starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Free Tier
Free
- Single node cluster
- 0.5 vCPU, 1GB RAM, 4GB disk
- Free cloud inference (select models)
Standard Tier
Usage-based
- Managed production clusters
Enterprise
Contact sales
- Enterprise security and compliance
- On-premise options
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Elasticsearch
- Handles keyword and vector search together
- Three deployment options
- Mature ecosystem and tooling
- Pricing details are not clear on the page
- Cluster tuning takes expertise
- Broad product line can be confusing
Qdrant
- High performance
- Generous free cloud tier
- Easy local setup
- Fewer built-in embedding helpers
- Cluster tuning needs care
- Smaller ecosystem than Postgres
Which one should you choose?
Choose Elasticsearch if you want:
- Handles keyword and vector search together
- Three deployment options
- Mature ecosystem and tooling
Watch out: pricing details are not clear on the page.
Choose Qdrant if you want:
- High performance
- Generous free cloud tier
- Easy local setup
Watch out: fewer built-in embedding helpers.
Elasticsearch vs Qdrant FAQ
What is the difference between Elasticsearch and Qdrant?
Elasticsearch: Search engine and vector database for AI apps and agents. Qdrant: Fast open-source vector search engine written in Rust. Both are models & apis tools.
Is Elasticsearch or Qdrant cheaper?
Elasticsearch starts at See pricing page and Qdrant starts at See pricing page. Check both pricing pages for current plans.
Do Elasticsearch and Qdrant have free plans?
Elasticsearch: No, trial available. Qdrant: Yes.
Who makes Elasticsearch?
Elasticsearch is made by Elastic, based in Netherlands.
Who makes Qdrant?
Qdrant is made by Qdrant, based in Germany.
Which should I choose, Elasticsearch or Qdrant?
Choose Elasticsearch if you value handles keyword and vector search together and three deployment options. Choose Qdrant if you value high performance and generous free cloud tier.