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Vector databases · October 2026 Edition

Pinecone vs Weaviate

Five of fourteen models named Pinecone first on the direct prompt; two named Weaviate. Both were named by all fourteen models and Pinecone carries 70 labels and Weaviate 67, so the shares are not directly comparable.

Pinecone

criticized challenger

Named in one category this edition.

Weaviate

accepted challenger

Named in one category this edition.

First-choice share25%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate26%10%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 10; printed, not drawn.
Labels7067A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pinecone reading right to left. Rank and label count are printed, not drawn.pgvector was named alongside these two in ten of the fourteen direct answers. pgvector vs Pinecone · pgvector vs Weaviate · Pinecone vs Qdrant

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.
PineconeFirst choices, of fourteen modelsWeaviate
Direct521 against Pinecone
Paraphrase71
Comparative101
Budget-constrained006 against Pinecone · 2 against Weaviate
Scale-constrained401 against Pinecone · 1 against Weaviate
Negative0010 against Pinecone · 4 against Weaviate
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, Pinecone and Weaviate were named in the same answer 192 times, of the 218 answers naming Pinecone and the 203 naming Weaviate. In those answers Weaviate took the first choice six times and Pinecone eighty.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Pinecone and Weaviate stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Pinecone Weaviate first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pinecone on the left and Weaviate on the right.

The direct prompt

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

Both were the first choice

1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.
Claude Haiku 4.5Pinecone, Weaviate

Pinecone first, Weaviate an alternative

4 of 14 modelsWeaviate was named in the answer but not as the choice, or not at all.
GPT-5.4 miniPinecone alternatives: Qdrant, Weaviate
Qwen 3.7 FlashPinecone alternatives: MongoDB Atlas Vector Search, Weaviate
MiniMax M2.5Pinecone alternatives: Elasticsearch, Milvus, Weaviate
Muse Glimmer 30BPinecone, pgvector alternatives: Qdrant, Weaviate

Weaviate first, Pinecone not the choice

1 of 14 modelsPinecone was named in the answer but not as the choice, or not at all.
GLM 4.7 FlashXQdrant, Weaviate alternatives: pgvector

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 Flashpgvector alternatives: Pinecone, Qdrant, Weaviate
Perplexity SonarQdrant, pgvector alternatives: Pinecone, Weaviate
Grok 4.1 Fastpgvector alternatives: Pinecone, Qdrant, Weaviate
DeepSeek V4 FlashQdrant, pgvector alternatives: Pinecone, Weaviate
Kimi K2pgvector alternatives: Pinecone, Qdrant, Weaviate
GPT-6 LunaQdrant alternatives: Pinecone, pgvector

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Mistral Smallpgvector alternatives: pgvectorscale
Llama 4 Maverickpgvector

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
Pinecone leads by nineteen points.
Pinecone24%#2 of 7
Weaviate5%#4 of 7
The full small business standing →
Mid-marketThe figures above
Pinecone leads by twenty points.
Pinecone25%#2 of 10
Weaviate5%#5 of 10
The full mid-market standing →
Enterprise
Pinecone leads by fifty-two points.
Pinecone59%#1 of 10
Weaviate7%#4 of 10
The full enterprise standing →

What the models said about Pinecone

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

“Pinecone operates as a "black box" with no infrastructure access or visibility into underlying systems. It's notably expensive” MiniMax M2.5 · negative prompt · hard negative
“Be cautious about closed-source managed vendors (especially Pinecone) where you risk lock-in and escalating costs” DeepSeek V4 Flash · negative prompt · hard negative
“Pinecone (serverless) | Unpredictable costs, vendor lock-in, known outages” GLM 4.7 FlashX · negative prompt · hard negative
“The lowest operational overhead. You pay purely for what you write and read, with zero cluster management or pod sizing. Ideal if you want to ship fast.” Gemini 3.5 Flash · scale prompt · first choice
“For most teams, Pinecone is recommended if you want zero-ops managed deployment, and Qdrant if you want open-source performance and cost control.” Claude Haiku 4.5 · comparative prompt · first choice
“I'd recommend either Pinecone (if you prioritize ease and managed infrastructure) or Weaviate (if you want flexibility and cost control)” Claude Haiku 4.5 · direct prompt · first choice

What the models said about Weaviate

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

“Weaviate's own security checklist says self-managed deployments allow anonymous queries by default unless you configure auth. That's fine for local dev, but risky for production.” GPT-5.4 mini · negative prompt · soft negative
“Weaviate Cloud if your costs need to be especially simple and predictable: Pricing can depend on vector dimensions...” GPT-6 Luna · negative prompt · soft negative
“*Proprietary (e.g., Pinecone, Weaviate Cloud):* Easier to start, harder to leave later (vendor lock-in).” Qwen 3.7 Flash · scale prompt · soft negative
“I'd recommend either Pinecone ... or Weaviate (if you want flexibility and cost control)” Claude Haiku 4.5 · direct prompt · first choice
“I'd suggest beginning with Weaviate or pgvector if you're already invested in PostgreSQL” Claude Haiku 4.5 · paraphrase prompt · first choice
“Weaviate (open‑source + managed cloud, built‑in multimodal & GraphQL APIs)” GLM 4.7 FlashX · direct prompt · first choice
Also compared

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.