Every category where a model named Amazon Kinesis Data Streams 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
Streaming platforms	Data platform	2%	9 of 78	25%	36	criticized challenger

Movement

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

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

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

Direct17 labels2

Paraphrase5 labels1

Comparative32 labels1not counted in share

Budget-constrained17 labels2

Scale-constrained15 labelsNone

Negative22 labelsNone

First choiceAlternativeMentionNegative108 labels in all, every segment counted; 5 of the 6 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.

“Start with your cloud provider's native tool (Kinesis/Event Hubs) to validate your product-market fit and data usage.” Qwen 3.7 Flash · Streaming · direct prompt · first choice

“Amazon Kinesis | AWS teams, serverless | Zero-ops, seamless AWS integration | Lock-in, less flexible scaling” Grok 4.1 Fast · Streaming · scale prompt · alternative

“Cloud-native → Kinesis (AWS), Event Hubs (Azure), Pub/Sub (GCP) if you're deeply invested in one cloud” DeepSeek V4 Flash · Streaming · scale prompt · alternative

“If you're already in the AWS ecosystem, the on-demand pricing model means you only pay for what you use” Claude Haiku 4.5 · Streaming · budget 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.

“Don't force Kinesis or low-tier managed queues.” DeepSeek V4 Flash · Streaming · negative prompt · hard negative

“Kinesis is worth considering only if your needs are simple, AWS-locked, and under ~50k events/sec with short retention” DeepSeek V4 Flash · Streaming · paraphrase prompt · soft negative

“Cloud Managed Services (AWS Kinesis, Azure Event Hubs, GCP Pub/Sub) Verdict: CAUTION (Vendor Lock-in & Cost)” GLM 4.7 FlashX · Streaming · negative prompt · soft negative

“Kinesis is not a general-purpose event streaming platform... may not be the best fit.” Mistral Small · Streaming · negative prompt · soft negative

Named alongside

The products named in the same answers as Amazon Kinesis Data Streams, over the 108 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Kinesis Data Streams was named but was not.

ProductSame answerTook the first choice insteadHead to head

Apache Kafka93 of 10840Not in the top three

Redpanda81 of 10818Not in the top three

Confluent Cloud80 of 10827Not in the top three

Google Cloud Pub/Sub72 of 1081Not in the top three

Apache Pulsar65 of 1082Not in the top three

Azure Event Hubs56 of 1080Not in the top three

Amazon MSK34 of 1083Not in the top three

Aiven for Apache Kafka25 of 1083Not in the top three

RabbitMQ22 of 1080Not in the top three

NATS JetStream17 of 1080Not 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 Kinesis Data Streams. 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 91 of the 108 answers that named Amazon Kinesis Data Streams and are not a share of its labels.

Domains cited

guideflow.com61

devopsschool.com50

automq.com42

confluent.io38

gartner.com38

cotocus.com35

redpanda.com25

risingwave.com25

gravitee.io24

bestdevops.com23

361 of the 361 domain citations in answers naming Amazon Kinesis Data Streams came from somebody else's page.

Pages cited

guideflow.com/blog/event-streaming-software60

devopsschool.com/blog/top-10-event-streaming-platforms-features-pros-cons-comparison42

gartner.com/reviews/market/event-stream-processing38

cotocus.com/blog/top-10-event-streaming-platforms-features-pros-cons-comparison34

automq.com/blog/top-10-event-streaming-platforms-confluent-msk-redpanda-alternatives33

gravitee.io/blog/best-event-streaming-solutions23

bestdevops.com/top-10-event-streaming-platforms-tools-in-2025-features-pros-cons-compariso22

eltherion.com/blog/event-streaming-architecture-kafka-kinesis-pulsar22

Pages are listed as the models cited them.

Names read as Amazon Kinesis Data Streams

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

Amazon Kinesis 17AWS Kinesis 7Kinesis 2AWS Kinesis Data Streams 1AWS Kinesis on-demand 1Kinesis Data Streams 1

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 Kinesis Data Streams'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 Kinesis Data Streams, 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.