Does Vespa AI or Qdrant have a free plan?

Vespa AI is a paid tool. Qdrant is available for free. Always verify current pricing directly with the vendor.

Vespa AI vs Qdrant

Q: Can I use Vespa AI and Qdrant together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Vespa AI and Qdrant with other tools and save your AI toolkit.

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

Vespa AI

Vespa.ai AS

Compute over your data with millisecond latency for AI-driven applications.

0.0(0)

OPEN_SOURCE

90% data quality

Qdrant

Qdrant Solutions GmbH

High-performance vector search engine for production-grade AI applications at any scale.

0.0(0)

FREEMIUM

94% data quality

Trust & Reliability

Vespa AI

Users:10M-50M

Customers (per vendor):Spotify, Elicit, Perplexity

GDPR

Qdrant

Overall Winner: Qdrant

8.5/10 vs Vespa AI at 6.7/10

Leads in:

Customizability

Support

Ease of Use

AI Comparison Summary

Vespa AI

6.7

avg score

Qdrant

8.5

avg score

Qdrant leads overall — particularly in Ease of Use and Customizability and 2 more.

Based on 6 dimensions

How scores are calculated

Overall Winner

Qdrant

8.5 / 10

Vespa AI

Best For

Building AI-powered search experiences

Developing real-time recommendation systems

Implementing Retrieval-Augmented Generation (RAG) applications

Creating personalized ad targeting platforms

Not Ideal For

Users seeking a simple, no-code search solution

Small-scale applications with minimal data or traffic

Organizations without in-house development or data science expertise

Qdrant

Best For

Building production-grade AI search applications

Implementing Retrieval Augmented Generation (RAG)

Developing intelligent AI agents with persistent memory

Powering personalized recommendation systems

Not Ideal For

Users needing a simple keyword-only search solution without vector capabilities

Small projects that do not require high-performance or scalable vector search

Non-technical users who prefer no-code solutions for data management

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Vespa AI is best for

🔍Research7.7💬Chat & Conversation7.0🤖Automation & Agents6.0

Qdrant is best for

🤖Automation & Agents10.0🔍Research9.0💬Chat & Conversation3.0

Filter by your use case:

Pros & Cons

Vespa AI

Pros

Unified platform for retrieval, ranking, and inference
Extreme performance and low latency at any scale
Supports hybrid search (vector, text, structured data)
Automated scalability and continuous deployment
Open-source core with managed cloud option
Strong security features including encryption and mutual authentication

Cons

Requires technical expertise for implementation and optimization
Complexity of managing a distributed system for on-premise deployments
Learning curve for advanced features like tensor formalism
Cost implications for very large-scale cloud deployments (usage-based)

Qdrant

Pros

Exceptional performance and scalability due to Rust-based architecture
Flexible deployment options: Managed Cloud, Hybrid Cloud, Private Cloud, Edge
Comprehensive features for advanced AI search, including hybrid search and reranking
Strong enterprise-grade security and compliance (SOC2, GDPR, HIPAA)
Developer-friendly with intuitive APIs and a built-in Web UI
Active open-source community and extensive documentation

Cons

Free tier has limited resources (0.5 vCPU, 1GB RAM, 4GB Disk)
Advanced enterprise features like SSO and private VPC links are only available in Premium/Enterprise tiers
Cloud Inference with paid models requires tokens or specific tiers
Disk encryption with custom keys is currently AWS only

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Vespa AI

6.7

/ 10

Qdrant

8.5

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Vespa AI

4.0

Qdrant

8.0▲ +4.0

Output Quality

Quality and accuracy of generated results

Vespa AI

9.0

Qdrant

9.0

Value for Money

Cost vs. features and output quality

Vespa AI

7.0

Qdrant

8.0▲ +1.0

Customizability

Calculated

Ability to tailor to specific needs

Vespa AI

7.0

Qdrant

9.0▲ +2.0

Support & Ecosystem

Documentation, community, and support quality

Vespa AI

7.0

Qdrant

9.0▲ +2.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Vespa AI

6.0

Qdrant

8.0▲ +2.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Vespa AI

Task

Qdrant

9.0

Search Accuracy

10.0

7.0

Answer Extraction

3.0

8.0

Source Attribution

7.0

10.0

Real Time Indexing

10.0

9.0

Semantic Understanding

9.0

6.0

Multi Modal Search

10.0

9.0

Filter Refinement

10.0

8.0

Personalization

9.0

2.0

Content Detection

2.0

7.0

Knowledge Graph

3.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Vespa AI or Qdrant?

Both are strong options. Vespa AI has a rating of 0.0/5 (0 reviews), while Qdrant has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Vespa AI cheaper than Qdrant?

Vespa AI starts at free (open_source model). Qdrant starts at free (freemium model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Vespa AI and Qdrant?

Vespa AI — "Compute over your data with millisecond latency for AI-driven applications.". Qdrant — "High-performance vector search engine for production-grade AI applications at any scale.". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use Vespa AI and Qdrant together?

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