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 6 claims collected between May 29, 2026 and Jul 24, 2026. It is a reading of what AI says, not a review by Parse.

Brands
Pinecone
vs Redis

Pineconevs Redis

Pinecone vs Redis, according to AI

Which one AI picks, and when.

Data as of Jul 24, 2026 · Based on 6 AI claims comparing the two · See how Parse measures this

Head to head

The two are furthest apart on strength, where Pinecone leads by 17 points.

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What AI Says About Pinecone vs Redis | Parse

Brands
Pinecone
vs Redis

Pineconevs Redis

Pinecone vs Redis, according to AI

Which one AI picks, and when.

Data as of Jul 24, 2026 · Based on 6 AI claims comparing the two · See how Parse measures this

Head to head

The two are furthest apart on strength, where Pinecone leads by 17 points.

Pinecone and Redis compared on the Parse Score and its three pillars
Measure	Pinecone	Redis
Parse Score	90

Pinecone and Redis compared on the Parse Score and its three pillars
Measure	Pinecone	Redis
Parse Score	90

Strength (widest gap)	69	52

Reach	80	75

Authority	74	75

What AI says about Pinecone

Developer Backend & Vector Search Services · #6

What AI says about Redis

LLM Security and Governance Platforms · #5

Compare your brand against Pinecone or Redis. Free check, no account.

What buyers actually ask

My goal is to cache LLM responses to reduce latency and cost. What's the best semantic caching solution?
I want to build a search system that combines keyword and semantic search. Which vector database has the best hybrid search capabilities?
I need a database provider that offers native support for vector search to power a generative AI application.

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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 6 claims collected between May 29, 2026 and Jul 24, 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

My goal is to cache LLM responses to reduce latency and cost. What's the best semantic caching solution?
I want to build a search system that combines keyword and semantic search. Which vector database has the best hybrid search capabilities?
I need a database provider that offers native support for vector search to power a generative AI application.

PineconevsWeaviate
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PineconevsQdrant
pgvectorvsPinecone
Amazon ElastiCachevsRedis
QdrantvsRedis

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 6 claims collected between May 29, 2026 and Jul 24, 2026. It is a reading of what AI says, not a review by Parse.