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Index › IT › Products › Redis Vector Search › Alternatives · November 2026 Edition
One category · what the models named instead

Alternatives to Redis Vector Search, as AI models named them

In the November 2026 Edition, 249 of the 252 answers collected in the one category where Redis Vector Search holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.

Named instead, most often
Pinecone73
Qdrant72
pgvector66
Weaviate15
Milvus7
Chroma5
First choices in the 249 answers that did not name Redis Vector Search, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Vector databases

Data platform. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when Redis Vector Search is not its first choice or an alternative in it.
Small businessRedis Vector Search holds 3 labels here, under the 10-label cutoff, so it is unranked.

Eighty-three of the eighty-four answers did not name Redis Vector Search; it was the first choice in zero. The first choices in those eighty-three answers, twelve products in all, the eight most named:

pgvector39 of 83
Qdrant30 of 83
Pinecone19 of 83
Chroma5 of 83
Weaviate4 of 83
ChromaDB1 of 83
Milvus1 of 83
MongoDB Atlas Vector Search1 of 83
4 more in the record.The full small business standing →
Mid-marketRedis Vector Search is #9 of 11 here at 0% of first choices, 11 labels.

Eighty-three of the eighty-four answers did not name Redis Vector Search; it was the first choice in zero. The first choices in those eighty-three answers, eight products in all:

Qdrant25 of 83
pgvector21 of 83
Pinecone17 of 83
Weaviate4 of 83
Elasticsearch1 of 83
Milvus1 of 83
Milvus / Zilliz Cloud1 of 83
PostgreSQL plus `pgvector`1 of 83
The full mid-market standing →
EnterpriseRedis Vector Search is #12 of 13 here at 0% of first choices, 10 labels.

Eighty-three of the eighty-four answers did not name Redis Vector Search; it was the first choice in zero. The first choices in those eighty-three answers, ten products in all, the eight most named:

Pinecone37 of 83
Qdrant17 of 83
Weaviate7 of 83
pgvector6 of 83
Milvus5 of 83
MongoDB Atlas Vector Search2 of 83
Elastic1 of 83
Milvus / Zilliz Cloud1 of 83
2 more in the record.The full enterprise standing →

How to read this

A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled Redis Vector Search neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named Redis Vector Search only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from Redis Vector Search's side.

The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Redis Vector Search was named by a model, not endorsed by anyone.

Redis Vector Search's pageAll products