Every category where a model named Amazon Neptune for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
NoSQL databases	Data platform	0%	16 of 72	0%	7	under 10 labels · led by MongoDB at 59%
Managed relational databases	Data platform	0%	48 of 73	0%	1	under 10 labels · led by Amazon RDS at 32%
ML platforms	Data platform	0%	81 of 99	100%	1	under 10 labels · led by Azure Machine Learning at 17%
Vector databases	Data platform	0%	18 of 24	0%	1	under 10 labels · led by Qdrant at 37%

Movement

This is the first edition on this tier, so no move can be computed for Amazon Neptune yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Amazon Neptune across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	1	2
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	1	0	1
DeepSeek V4 Flash	1	0	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	3	0	3
Kimi K2	1	0	1
GLM 4.7 FlashX	1	0	1
MiniMax M2.5	1	0	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct1 labelNone

Paraphrase0 labelsNone

Comparative3 labelsNone

Budget-constrained1 labelNone

Scale-constrained8 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative14 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

No positive label carried a quote.

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“competitors like Weights & Biases or Neptune (which can quickly cost $50–$150+ per user per month)” Gemini 3.5 Flash · ML platforms · budget prompt · soft negative

Named alongside

The products named in the same answers as Amazon Neptune, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Neptune was named but was not.

ProductSame answerTook the first choice insteadHead to head

MongoDB11 of 145Not in the top three

Amazon DynamoDB11 of 142Not in the top three

Apache Cassandra10 of 140Not in the top three

Couchbase10 of 140Not in the top three

Neo4j10 of 140Not in the top three

Redis10 of 140Not in the top three

ScyllaDB7 of 140Not in the top three

Azure Cosmos DB6 of 141Not in the top three

Apache HBase6 of 140Not in the top three

ArangoDB5 of 140Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Amazon Neptune. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 7 of the 14 answers that named Amazon Neptune and are not a share of its labels.

Domains cited

sourceforge.net4

aerospike.com3

couchbase.com3

mongodb.com3

6sense.com2

aws.amazon.comYour site2

azure.microsoft.com2

companyview.io2

datavid.com2

g2.com2

Twenty-three of the twenty-five domain citations in answers naming Amazon Neptune came from somebody else's page.

Pages cited

aerospike.com/blog/ten-best-nosql-cloud-databases3

sourceforge.net/software/nosql-database/for-small-business3

6sense.com/tech/nosql-databases2

companyview.io/software/nosql-databases2

couchbase.com/blog/nosql-database-evaluation-guide2

datavid.com/blog/best-nosql-databases2

g2.com/categories/nosql-databases2

guideflow.com/blog/nosql-database-software2

Pages are listed as the models cited them.

Names read as Amazon Neptune

What the judge wrote, as written, with how often. The vendor table decides that these count as Amazon Neptune; a claim can dispute any of them.

Neptune 2

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Amazon Neptune's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Amazon Neptune, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at amazon.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.