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Index › Products › Amazon Kinesis Data Streams · October 2026 Edition
Amazon · 2 categories · Ranked

Amazon Kinesis Data Streams

95Judge labels
4First choices
30Negative labels
14 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
5% in Streaming for small business buyers
Rank 12 of 98 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 34% of its 38 labels there were negative.
What the models named instead of Amazon Kinesis Data Streams →
By buyer segmentRead the same way at every buyer size.
In streaming · 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 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Streaming platformsData platform2%12 of 9834%38criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Telemetry pipelinesIT operations and endpoint0%77 of 1240%1under 10 labels · led by OpenTelemetry Collector at 37%

Movement

Since September 2026, Amazon Kinesis Data Streams held within the floor in all two categories: no change cleared 11 points.

Best category · Streaming · by segment

Small business=heldSince September 2026: 6% → 5%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
5%from 6% in September 2026
Inside the floor by 11 pointsRank 5 → 7 of 84
Mid-market=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 2% in September 2026
Inside the floor by 11 pointsRank 9 → 11 of 94
Enterprise▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 2% in September 2026
Inside the floor by 9 pointsRank 6 → 19 of 64

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Streaming2%2%=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 9 → 12 of 98
Telemetry pipelines0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 77 of 124, unchanged

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Amazon Kinesis Data Streams across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini01102
Gemini 3.5 Flash00033
Perplexity Sonar00213
Grok 4.2012014
Mistral Small01113
DeepSeek V4 Flash02024
Llama 4 Maverick00202
Qwen 3.7 Flash00213
Kimi K203003
GLM 4.7 FlashX01012
MiniMax M2.502114
GPT-6 Luna00213
Muse Glimmer 30B01113

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
Direct16 labelsNone
Paraphrase2 labels1
Comparative27 labels2not counted in share
Budget-constrained9 labelsNone
Scale-constrained17 labels3
Negative24 labelsNone
First choiceAlternativeMentionNegative95 labels in all, every segment counted; 4 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.

“or Kinesis (if AWS-heavy)” Grok 4.20 · Streaming · scale prompt · first choice
“AWS fully managed real-time streaming service... though it has lower throughput limits per shard compared to Kafka partitions.” Muse Glimmer 30B · Streaming · comparative prompt · alternative
“Auto-scaling, deep AWS integration (Lambda, Firehose), real-time ingestion | Vendor lock-in, higher cost for retention” Grok 4.20 · Streaming · comparative prompt · alternative
“Use Kinesis Data Streams \u2013 the free tier will let you ingest a few GB per month at no cost.” MiniMax M2.5 · 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.

“AWS Kinesis & Cloud-Walled Gardens (Avoid if Multi-Cloud)” Qwen 3.7 Flash · Streaming · negative prompt · hard negative
“AWS Kinesis, Azure Event Hubs (Vendor lock-in)” Gemini 3.5 Flash · Streaming · negative prompt · hard negative
“Kinesis has its own shard-based capacity model, quotas, and pricing dimensions; uneven partition keys can cause throughput exceptions.” GPT-6 Luna · Streaming · negative prompt · soft negative
“Simple, but comes with heavy cloud lock-in and lacks the rich open-source ecosystem of Kafka (e.g., AWS Kinesis, GCP Pub/Sub).” Gemini 3.5 Flash · Streaming · scale prompt · soft negative

Named alongside

The products named in the same answers as Amazon Kinesis Data Streams, over the 95 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.
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ProductSame answerTook the first choice insteadHead to head
Apache Kafka85 of 9524Not among the top eight
Confluent Cloud74 of 9523Not among the top eight
Redpanda68 of 9515Not among the top eight
Google Cloud Pub/Sub63 of 952Not among the top eight
Azure Event Hubs59 of 951Not among the top eight
Apache Pulsar51 of 950Not among the top eight
Amazon MSK42 of 954Not among the top eight
Aiven for Apache Kafka20 of 954Not among the top eight
RabbitMQ20 of 953Not among the top eight
NATS JetStream12 of 951Not among the top eight
A head-to-head page exists where both products are among a category's top eight. 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, five of the fourteen in this edition, so these counts come from 84 of the 95 answers that named Amazon Kinesis Data Streams and are not a share of its labels.

Search and answers

Where Amazon Kinesis Data Streams stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
720 a month (“amazon kinesis data streams”)
AI search demand for its name, est.
16 a month
Its own site
It sits on Amazon's site (amazon.com), so there are no site figures for it alone

In answers

This edition
Share of first choices
2%
rank 12 of 98 in streaming
Segment leader
39%
Confluent Cloud
First choices
4 across its categories
Named in
95 answers
Its own site cited
in 84 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

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.
AWS Kinesis 10Amazon Kinesis 10Kinesis 6

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The company

Amazon is the company behind Amazon Kinesis Data Streams.
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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.

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A new claim receives the current edition's vendor brief for Amazon Kinesis Data Streams by email, built from the raw record of the edition. It shows:

  • where Amazon Kinesis Data Streams is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Amazon Kinesis Data Streams, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
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A verification link goes to your work email; an address at amazon.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.