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Vector databases · October 2026 Edition

Chroma vs Milvus

Zero of fourteen models named Chroma first on the direct prompt; zero named Milvus. Both were named by all fourteen models and Chroma carries 36 labels and Milvus 41, so the shares are not directly comparable.

Chroma

criticized challenger

Named in one category this edition.

Milvus

accepted challenger

Named in one category this edition.

First-choice share6%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate31%20%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#4#6A position in a field of 10; printed, not drawn.

Labels3641A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, Chroma reading right to left. Rank and label count are printed, not drawn.Weaviate was named alongside these two in eleven of the fourteen direct answers. pgvector vs Chroma · pgvector vs Milvus · Pinecone vs Chroma

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the vector databases page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.

ChromaFirst choices, of fourteen modelsMilvus

Direct001 against Milvus

Paraphrase001 against Chroma

Comparative013 against Chroma · 1 against Milvus

Budget-constrained423 against Milvus

Scale-constrained00

Negative007 against Chroma · 3 against Milvus

Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Chroma and Milvus were named in the same answer sixty-four times, of the 101 answers naming Chroma and the 140 naming Milvus. In those answers Milvus took the first choice two times and Chroma seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Chroma and Milvus stood in it.

Model	Direct	Paraphrase	Comparative	Budget-constrained	Scale-constrained	Negative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B

Chroma

Milvus

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Chroma on the left and Milvus on the right.

The direct prompt

The plain question, one answer per model, grouped by where Chroma and Milvus stood in it.

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.

MiniMax M2.5Pinecone alternatives: Elasticsearch, Milvus, Weaviate

Neither was named

13 of 14 modelsThe answer made no first choice from these two in this category.

Claude Haiku 4.5Pinecone, Weaviate

GPT-5.4 miniPinecone alternatives: Qdrant, Weaviate

Gemini 3.5 Flashpgvector alternatives: Pinecone, Qdrant, Weaviate

Perplexity SonarQdrant, pgvector alternatives: Pinecone, Weaviate

Grok 4.1 Fastpgvector alternatives: Pinecone, Qdrant, Weaviate

Mistral Smallpgvector alternatives: pgvectorscale

DeepSeek V4 FlashQdrant, pgvector alternatives: Pinecone, Weaviate

Llama 4 Maverickpgvector

Qwen 3.7 FlashPinecone alternatives: MongoDB Atlas Vector Search, Weaviate

Kimi K2pgvector alternatives: Pinecone, Qdrant, Weaviate

GLM 4.7 FlashXQdrant, Weaviate alternatives: pgvector

GPT-6 LunaQdrant alternatives: Pinecone, pgvector

Muse Glimmer 30BPinecone, pgvector alternatives: Qdrant, Weaviate

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.

Small business

Chroma leads by five points.

Chroma#5 of 7

Milvus#7 of 7

The full small business standing →

Mid-marketThe figures above

Chroma leads by three points.

Chroma#4 of 10

Milvus#6 of 10

The full mid-market standing →

Enterprise

The order flips: Milvus leads at enterprise.

Milvus#3 of 10

Chroma#10 of 10

The full enterprise standing →

What the models said about Chroma

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Chroma has experienced significant production issues, including a critical memory leak... A severe cache invalidation bug in version 0.5 caused p99 latency to spike from 42ms to 542ms” MiniMax M2.5 · negative prompt · hard negative

“Only use Chroma behind a private network with auth enabled and patched, never internet exposed with defaults.” Muse Glimmer 30B · negative prompt · hard negative

“Avoid Chroma for production — it's a prototype tool, not a production database” Kimi K2 · negative prompt · hard negative

“Start with Chroma or Qdrant (self‑hosted) or pgvector if you already have PostgreSQL.” GLM 4.7 FlashX · budget prompt · first choice

“Best for small budgets: Chroma (free, self-hosted) or pgvector (free, if using PostgreSQL).” Mistral Small · budget prompt · first choice

“Chroma: Offers a free plan and is considered one of the cheapest options.” Llama 4 Maverick · budget prompt · first choice

What the models said about Milvus

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“heavy self-hosted systems like Milvus (requires Kubernetes know-how) ... neither is friendly to a limited budget” DeepSeek V4 Flash · budget prompt · hard negative

“Caution: If you run Milvus self-hosted, you must be on 2.4.24+, 2.5.21+ or 2.6.5+ and strip `sourceID` at the gateway” Muse Glimmer 30B · negative prompt · soft negative

“handles billions of vectors at lower cost; requires engineering resources... more resource-intensive to operate” Claude Haiku 4.5 · comparative prompt · soft negative

“likely to be an open-source option such as Milvus or Chroma, as they offer free or low-cost options” Llama 4 Maverick · budget prompt · first choice

“I'd recommend starting with either self-hosted Milvus/Qdrant (if you have DevOps capacity)” Claude Haiku 4.5 · budget prompt · first choice

“Massive Scale / Billions of vectors | Milvus” Qwen 3.7 Flash · comparative prompt · first choice

Also compared

pgvector vs Chroma pgvector vs Milvus Pinecone vs Chroma Pinecone vs Milvus Qdrant vs Chroma Qdrant vs Milvus Chroma vs Weaviate Chroma vs MongoDB Atlas Vector Search Weaviate vs Milvus Milvus vs MongoDB Atlas Vector Search All twenty-one head-to-head pages and the full vector databases standing

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.