IT AI Index

Index › Vendors › Amazon DocumentDB · September 2026 Edition

Amazon · 2 categories · Named, not ranked

Amazon DocumentDB

13Judge labels

1First choices

1Negative labels

10 of 12Models named it

2Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

7 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Amazon DocumentDB was named 7 times in NoSQL and 1 other category, where MongoDB led with 59%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market15 of 72

under the label threshold

Enterprise8 of 48

under the label threshold

In nosql · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Amazon DocumentDB 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%	15 of 72	0%	5	under 10 labels · led by MongoDB at 59%
Managed relational databases	Data platform	0%	63 of 73	50%	2	under 10 labels · led by Amazon RDS at 32%

Movement

This is the first edition on this tier, so no move can be computed for Amazon DocumentDB 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 DocumentDB across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct0 labelsNone

Paraphrase5 labels1

Comparative2 labelsNone

Budget-constrained0 labelsNone

Scale-constrained3 labelsNone

Negative3 labelsNone

First choiceAlternativeMentionNegative13 labels in all, every segment counted; 1 of the 1 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.

“choose this if you're heavily invested in AWS and want MongoDB's API with tight AWS-native integration” DeepSeek V4 Flash · NoSQL · paraphrase prompt · alternative

“Choose Amazon DocumentDB if you want a managed AWS document service with MongoDB compatibility” Perplexity Sonar · NoSQL · paraphrase prompt · alternative

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.

“be very careful with DocumentDB if you ever want real MongoDB” DeepSeek V4 Flash · Managed databases · negative prompt · hard negative

Named alongside

The products named in the same answers as Amazon DocumentDB, over the 13 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon DocumentDB was named but was not.

ProductSame answerTook the first choice insteadHead to head

MongoDB10 of 135Not in the top three

Amazon DynamoDB10 of 132Not in the top three

Redis7 of 130Not in the top three

Azure Cosmos DB6 of 131Not in the top three

Couchbase6 of 130Not in the top three

Apache Cassandra5 of 131Not in the top three

Neo4j5 of 130Not in the top three

Amazon Neptune4 of 130Not in the top three

Apache HBase4 of 130Not in the top three

ScyllaDB4 of 130Not 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 DocumentDB. 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 13 answers that named Amazon DocumentDB and are not a share of its labels.

Domains cited

mongodb.com3

aerospike.com2

aws.amazon.comYour site2

cloud.google.com2

docs.aws.amazon.comYour site2

g2.com2

infoq.com2

learn.microsoft.com2

planetscale.com2

rapydo.io2

Seventeen of the twenty-one domain citations in answers naming Amazon DocumentDB came from somebody else's page.

Pages cited

slashdot.org/software/document-databases/f-mid-size-business2

worldmetrics.org/best/document-database-software2

1bench.dev/databases/document1

1bench.dev/databases/key-value1

acloudfan.com/2023/03/11/nosql-databases-are-for-large-companies-only1

advisionit.cloud/aws-cloud-databases-rds-aurora-dynamodb-documentdb1

aerospike.com/blog/redis-vs-dynamodb1

aerospike.com/blog/ten-best-nosql-cloud-databases1

Pages are listed as the models cited them.

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 DocumentDB'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 DocumentDB, 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.