Qdrant vs Turbopuffer: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Qdrant and Turbopuffer side by side. This page compares data; it is not a hands-on review.
On the data: On the data below, Qdrant leads on a free plan. We do not name an overall winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
Qdrant
Vector database for similarity search
Best for you if:
- • You want a free tier before you commit
Turbopuffer
Serverless vector and full-text search engine built on object storage for AI applications.
Best for you if:
- • You want significantly reduces operational costs compared to traditional vector databases
| At a Glance | Qdrant | Turbopuffer |
|---|---|---|
Starts at | Free plan | From $64/mo, billed monthly launch plan |
Category | Vector Databases Data & Databases | Data & Databases Vector Databases |
Rating | 4.5/5 G2 4.5 12 reviews | n/a |
Free plan | Yes | No |
Watch out for | Opaque per-unit pricing: Qdrant Cloud does not publish per-vCPU, per-GB-RAM, or per-GB-storage rates on its pricing page. You must use the pricing calculator at cloud.qdrant.io/calculator or contact sales to estimate costs. This makes budget planning harder compared to competitors with transparent rate cards | n/a |
Choose Qdrant or Turbopuffer?
Choose Qdrant if
- You want a free tier before you commit
- You want fast performance
- You want rust-based
Choose Turbopuffer if
- You want significantly reduces operational costs compared to traditional vector databases
- You want handles massive scale with 2.5T+ documents and 10M+ writes/s in production
In-Depth Analysis
Qdrant
Vector database for similarity search
Qdrant occupies the sweet spot between developer-friendly open source and production-grade managed cloud.
Watch out
Opaque per-unit pricing: Qdrant Cloud does not publish per-vCPU, per-GB-RAM, or per-GB-storage rates on its pricing page. You must use the pricing calculator at cloud.qdrant.io/calculator or contact sales to estimate costs. This makes budget planning harder compared to competitors with transparent rate cards
Strengths
- Pro: Fast performance
- Pro: Rust-based
- Pro: Good filtering
- Pro: Open source
- Pro: Self-hostable
Weaknesses
- Con: Smaller community
- Con: Cloud newer
- Con: Documentation improving
- Con: Fewer integrations
- Con: Less known
Key features
Turbopuffer
Serverless vector and full-text search engine built on object storage for AI applications.
Turbopuffer's pricing, starting at $64/month for 'Launch' and jumping to $256/month for 'Scale', appears quite expensive compared to other serverless vector database solutions that often offer generous free tiers or usage-based pricing.
Strengths
- Pro: Significantly reduces operational costs compared to traditional vector databases.
- Pro: Handles massive scale with 2.5T+ documents and 10M+ writes/s in production.
- Pro: Provides extremely low latency search results, even for large datasets.
- Pro: Offers robust security and compliance features including SOC2, GDPR, and HIPAA readiness.
Weaknesses
- Con: Requires a minimum monthly commitment for all pricing tiers.
- Con: Specific details on data migration tools from other databases are not explicitly detailed.
- Con: The 'Launch' plan does not include HIPAA readiness or SSO.
Key features
Plans and prices: Qdrant vs Turbopuffer
| Tool | Plans and prices | Source |
|---|---|---|
| Qdrant |
| qdrant.tech/pricing read Nov 2, 2026 |
| Turbopuffer |
| turbopuffer.com/pricing read Sep 28, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Qdrant pricing and Turbopuffer pricing.
Key Takeaways
Qdrant
- Has a free plan
Turbopuffer
- Choose if you want serverless vector and full-text search engine built on object storage for AI applications
What the data shows
On the data below, Qdrant leads on a free plan. We do not name an overall winner for this pair.
- Only Qdrant has a published user rating (4.5/5 from 12 reviews); Turbopuffer has none we can show.
- Turbopuffer starts at $64/mo, billed monthly; Qdrant has no public paid plan price on file.
- Only Qdrant has a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do Qdrant and Turbopuffer compare in 2026?
On the data below, Qdrant leads on a free plan. We do not name an overall winner for this pair. Only Qdrant has a published user rating (4.5/5 from 12 reviews); Turbopuffer has none we can show. Turbopuffer starts at $64/mo, billed monthly; Qdrant has no public paid plan price on file. Only Qdrant has a free plan.
What are Qdrant and Turbopuffer used for?
Qdrant: Vector database for similarity search. Turbopuffer: Serverless vector and full-text search engine built on object storage for AI applications.
What does Qdrant cost vs Turbopuffer?
Qdrant has no public paid-plan price on file. Turbopuffer's cheapest paid plan is launch at $64/mo, billed monthly. Prices read on the vendors' pricing pages, latest check Nov 2, 2026.
What's the main difference between Qdrant and Turbopuffer?
Qdrant's main strength: fast performance. Turbopuffer's main strength: significantly reduces operational costs compared to traditional vector databases.
Spotted an outdated price or a wrong fact? Suggest a correction: we check it against the vendor's own page. Work for one of these vendors? Claim your listing to update it yourself.