| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Streaming platforms | Data platform | 2% | 12 of 98 | 34% | 38 | criticized challenger | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Telemetry pipelines | IT operations and endpoint | 0% | 77 of 124 | 0% | 1 | under 10 labels · led by OpenTelemetry Collector at 37% |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Streaming | 2% | 2% | =heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 9 → 12 of 98 |
| Telemetry pipelines | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 3 | 3 |
| Perplexity Sonar | 0 | 0 | 2 | 1 | 3 |
| Grok 4.20 | 1 | 2 | 0 | 1 | 4 |
| Mistral Small | 0 | 1 | 1 | 1 | 3 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 2 | 4 |
| Llama 4 Maverick | 0 | 0 | 2 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 2 | 1 | 3 |
| Kimi K2 | 0 | 3 | 0 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 0 | 2 | 1 | 1 | 4 |
| GPT-6 Luna | 0 | 0 | 2 | 1 | 3 |
| Muse Glimmer 30B | 0 | 1 | 1 | 1 | 3 |
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
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
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.
319 of the 319 domain citations in answers naming Amazon Kinesis Data Streams came from somebody else's page.
Pages are listed as the models cited them.
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.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What Amazon Kinesis Data Streams's own pages state, read September 28, 2026: advertising.amazon.com/resources/whats-new/create-custom-audiences-with-ncs-cpg-insights-stream-data, advertising.amazon.com/tr-tr/resources/whats-new/create-custom-audiences-with-ncs-cpg-insights-stream-data, advertising.amazon.com/es-es/resources/whats-new/create-custom-audiences-with-ncs-cpg-insights-stream-data, advertising.amazon.com/nl-nl/resources/whats-new/create-custom-audiences-with-ncs-cpg-insights-stream-data, advertising.amazon.com/de-de/resources/whats-new/create-custom-audiences-with-ncs-cpg-insights-stream-data. A claimed page can correct any of them.
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.
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: