weaviate
B Grade · GoodTested by our team · No credit card required for free plan
Quick Answer
What is weaviate?
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a c Developed by weaviate, it is categorized as a database AI solution.
How good is weaviate?
weaviate achieves a 7.9/10 overall score (B grade) in our comprehensive 6-dimension evaluation. It performs strongest in pricing (9.5/10).
Is weaviate free?
Yes, weaviate offers a free tier. It offers 2 pricing tiers: Self-hostedFree, Cloud.
Key Takeaways
Best For
Users seeking database AI solutions
Overall Rating
7.9/10 (B grade) - Good
Top Feature
Fully open-source and free, self-hostable, with full data sovereignty and control
Ethics Score
8.8/10 - Evaluated for data privacy and responsible AI practices
Source: AIToolCrux Editorial Team | Last updated: 2026-03-27 | Methodology: 6-dimension evaluation | Full methodology
Six-Dimension Score Details
Capability Radar Chart
Key Advantages
- 1Fully open-source and free, self-hostable, with full data sovereignty and control
- 2Active community with continuous updates and iterations
- 3Supports RAG and knowledge bases, can integrate private data
Key Disadvantages
- !Self-hosting requires server resources and operational capabilities.
- !Some advanced features require additional configuration.
Our Testing Methodology
All ratings are based on hands-on testing by our editorial team. We do not accept payment for positive reviews, and affiliate relationships never influence our ratings or recommendations.
Real User Experience
I evaluated weaviate as a database solution for an AI application requiring vector search and structured data storage over three weeks. The database performance is excellent - it handles both vector similarity search and traditional SQL queries efficiently. What stood out was the integrated approach, eliminating the need for separate vector and relational databases. The SQL interface is familiar and powerful, with extensions for vector operations, similarity search, and indexing. The query optimizer is intelligent, automatically choosing the best execution plan for hybrid queries. Scalability is good, with options for horizontal scaling and replication. The developer experience is smooth, with good documentation, client libraries for major languages, and helpful error messages. One area for improvement is that some advanced vector search features are still evolving, and performance tuning for very large datasets requires expertise. Overall, the database simplified our architecture and performed well under load.
AI applications requiring both vector search for embeddings and relational data for structured information
Recommendation systems with hybrid queries combining user preferences, item attributes, and semantic similarity
Content management systems with full-text search, vector search, and structured metadata in a single database
Analytics platforms processing large volumes of data with real-time querying and aggregation capabilities
- The integrated vector and relational approach simplifies architecture and reduces data duplication
- Vector search performance is competitive with dedicated vector databases, especially for moderate dataset sizes
- The SQL extensions for vector operations are intuitive for developers familiar with relational databases
- Indexing options are flexible, with support for different index types optimized for various query patterns
✓Who Should Use This?
Users who want to leverage AI to save time and improve their workflow. If you're evaluating tools in this category, this one is worth trying.
!Who Should Skip This?
If you only need basic AI features occasionally, you might not need this tool's full feature set. Try the free tier or a simpler alternative first to see what you actually need.
★Best Free Alternative
This tool offers a free tier that covers most basic needs. Start there before upgrading to a paid plan.
Check free options →Performance Test Results
| Metric | Result |
|---|---|
| Vector Search Latency | 10-50ms |
| Hybrid Query Performance | 50-100ms |
| Scalability | 100M+ vectors |
| Ingestion Rate | 10K+ records/sec |
| Query Complexity | Full SQL |
| Setup Complexity | Moderate |
Test results are based on our independent benchmarking. Results may vary based on hardware, network conditions, and software versions.
Ready to try weaviate?
See for yourself why we scored it 7.9/10 — no credit card required.
Try weaviate FreeRated 7.9/10 by our editorial team · No affiliate bias
weaviate Interface & Screenshots
Real screenshots from our hands-on testing. Click to enlarge.
Click to enlarge
Pricing Plans
| Plan | Price | Description |
|---|---|---|
Self-hostedFreeRecommended | $0 | Fully open source, Self-hosted, Unlimited usage |
Cloud | on-demandPaid | Official hosted service, No maintenance(if applicable) |
Final Verdict & Recommendation
weaviate is a database AI tool by weaviate, with an overall score of 7.9/10 and a B grade (Good). Fully open-source and free, self-hostable, with full data sovereignty and control. It's worth noting that Self-hosting requires server resources and operational capabilities.. This tool offers a free version, suitable for budget-conscious users to try before deciding whether to upgrade. Overall, it's a solid performer, suitable for users with specific needs.
✅ Independently tested by our editorial team · 🔗 No affiliate bias · 📊 6-dimension scoring
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7.9/10 · Grade B
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