How does Parse measure this comparison?

Name: Qdrant vs Weaviate AI comparison
Creator: Parse

Parse reads answers from AI assistants and records every claim that compares the two brands, then groups those claims by the need they speak to. This page is based on 191 claims collected between Mar 10, 2026 and Aug 13, 2026. It is a reading of what AI says, not a review by Parse.

Brands
Qdrant
vs Weaviate

Qdrantvs Weaviate

Qdrant vs Weaviate, according to AI

Which one AI picks, and when.

Data as of Aug 13, 2026 · Based on 191 AI claims comparing the two · See how Parse measures this

Head to head

The two are furthest apart on reach, where Weaviate leads by 3 points.

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What AI Says About Qdrant vs Weaviate | Parse

Brands
Qdrant
vs Weaviate

Qdrantvs Weaviate

Qdrant vs Weaviate, according to AI

Which one AI picks, and when.

Data as of Aug 13, 2026 · Based on 191 AI claims comparing the two · See how Parse measures this

Head to head

The two are furthest apart on reach, where Weaviate leads by 3 points.

Qdrant and Weaviate compared on the Parse Score and its three pillars
Measure	Qdrant	Weaviate
Parse Score	88

Qdrant and Weaviate compared on the Parse Score and its three pillars
Measure	Qdrant	Weaviate
Parse Score	88

Strength	69	67

Reach (widest gap)	76	79

Authority	71	72

What AI says about Qdrant

Developer Backend & Vector Search Services · #1

What AI says about Weaviate

Vector Database Platforms · #1

Compare your brand against Qdrant or Weaviate. Free check, no account.

What buyers actually ask

I want to build a search system that combines keyword and semantic search. Which vector database has the best hybrid search capabilities?
My goal is to find an efficient way to store and query multimodal embeddings (text + image). Which vector database has the best multimodal support?
We need to re-index millions of vectors without downtime. What vector database offers the best live re-indexing and versioning capabilities?

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Questions

How does Parse measure this comparison?: Parse reads answers from AI assistants and records every claim that compares the two brands, then groups those claims by the need they speak to. This page is based on 191 claims collected between Mar 10, 2026 and Aug 13, 2026. It is a reading of what AI says, not a review by Parse.

Track this comparison

Weekly insights tell you how often AI recommends each brand, and which prompts and sources explain the result.

Track this comparison

I want to build a search system that combines keyword and semantic search. Which vector database has the best hybrid search capabilities?
My goal is to find an efficient way to store and query multimodal embeddings (text + image). Which vector database has the best multimodal support?
We need to re-index millions of vectors without downtime. What vector database offers the best live re-indexing and versioning capabilities?

MilvusvsQdrant
PineconevsWeaviate
MilvusvsWeaviate
PineconevsQdrant
pgvectorvsQdrant
pgvectorvsWeaviate

How does Parse measure this comparison?: Parse reads answers from AI assistants and records every claim that compares the two brands, then groups those claims by the need they speak to. This page is based on 191 claims collected between Mar 10, 2026 and Aug 13, 2026. It is a reading of what AI says, not a review by Parse.