Streaming platforms · November 2026 Edition
Google Cloud Pub/Sub vs Amazon MSK
Zero of fourteen models named Google Cloud Pub/Sub first on the direct prompt; zero named Amazon MSK. Google Cloud Pub/Sub was named by thirteen of the fourteen models and Amazon MSK by fourteen and Google Cloud Pub/Sub carries 36 labels and Amazon MSK 37, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share5%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 12; printed, not drawn.
Labels3637A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Google Cloud Pub/Sub reading right to left. Rank and label count are printed, not drawn.Confluent Cloud was named alongside these two in eleven of the fourteen direct answers. Confluent Cloud vs Google Cloud Pub/Sub · Confluent Cloud vs Amazon MSK · Redpanda vs Google Cloud Pub/Sub
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the streaming platforms page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Google Cloud Pub/SubFirst choices, of fourteen modelsAmazon MSK
Direct00
Paraphrase01
Comparative00
Budget-constrained201 against Google Cloud Pub/Sub · 1 against Amazon MSK
Scale-constrained111 against Google Cloud Pub/Sub
Negative005 against Google Cloud Pub/Sub · 3 against Amazon MSK
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, Google Cloud Pub/Sub and Amazon MSK were named in the same answer sixty-two times, of the 112 answers naming Google Cloud Pub/Sub and the 114 naming Amazon MSK. In those answers Amazon MSK took the first choice four times and Google Cloud Pub/Sub three.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Google Cloud Pub/Sub and Amazon MSK stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | ||||
| Grok 4.20 | | | | | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | ||
| Kimi K2 | | | | |||
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | |||||
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | |
Google Cloud Pub/Sub Amazon MSK first choice named as an alternative argued againstblank: not namedEach cell is one answer, Google Cloud Pub/Sub on the left and Amazon MSK on the right.The direct prompt
The plain question, one answer per model, grouped by where Google Cloud Pub/Sub and Amazon MSK stood in it.
Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashConfluent Cloud alternatives: AWS EventBridge, Aiven for Apache Kafka, Amazon Kinesis Data Streams, Google Cloud Pub/Sub, Redpanda, Upstash Kafka
Grok 4.20Confluent Cloud alternatives: Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub, Redpanda
DeepSeek V4 FlashConfluent Cloud alternatives: Aiven for Apache Kafka, Amazon MSK, Redpanda
Qwen 3.7 FlashConfluent Cloud alternatives: Amazon Kinesis Data Streams, Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub
GLM 4.7 FlashXConfluent Cloud alternatives: Amazon MSK, Apache Pulsar, Google Cloud Pub/Sub
GPT-6 LunaConfluent Cloud alternatives: Amazon MSK, Redpanda
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Apache Kafka alternatives: Aiven for Apache Kafka, Amazon Kinesis Data Streams, Confluent Cloud
GPT-5.4 miniConfluent Cloud alternatives: Apache Kafka, Redpanda
Perplexity SonarConfluent Cloud alternatives: Amazon Kinesis Data Streams, Azure Event Hubs, Bizzabo, Estuary, Redpanda
Mistral SmallAiven for Apache Kafka, Redpanda alternatives: Airmeet, Livestorm, Sequel
Llama 4 MaverickAirmeet alternatives: Goldcast, Livestorm
Kimi K2Demio alternatives: Confluent Cloud, Contrast, Goldcast, Livestorm, Redpanda
MiniMax M2.5Bizzabo alternatives: Livestorm, ON24
Muse Glimmer 30BConfluent Cloud alternatives: Redpanda
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Google Cloud Pub/Sub leads by seven points.
Google Cloud Pub/Sub7%#3 of 13Amazon MSK0%#10 of 13Mid-marketThe figures above
Google Cloud Pub/Sub leads by two points.
Google Cloud Pub/Sub5%#4 of 12Amazon MSK3%#6 of 12Enterprise
Level: the same share of first choices.
Google Cloud Pub/Sub0%#8 of 9Amazon MSK0%#7 of 9What the models said about Google Cloud Pub/Sub
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid or rethink Kinesis (legacy API) and Pub/Sub if you need long‑term replay or durable event logs.” GLM 4.7 FlashX · negative prompt · hard negative
“What to Avoid on a Tight Budget ... Google Pub/Sub” Grok 4.20 · budget prompt · hard negative
“If it uses a proprietary API (like AWS Kinesis or GCP Pub/Sub), are you comfortable with vendor lock-in and potential limitations in client library features?” Gemini 3.5 Flash · scale prompt · soft negative
“All-in on one hyperscaler with a lean platform team → Native cloud service Kinesis, Event Hubs, Pub/Sub.” Muse Glimmer 30B · scale prompt · first choice
“Google Cloud: Pub/Sub is a strong low-operations option for variable workloads.” GPT-6 Luna · budget prompt · first choice
“🏆 Top Pick: Google Cloud Pub/Sub” DeepSeek V4 Flash · budget prompt · first choice
What the models said about Amazon MSK
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Apache Kafka (including Confluent Cloud, MSK, Redpanda, etc.) ... Can become complex to operate at scale” GLM 4.7 FlashX · negative prompt · soft negative
“Amazon MSK has seen a decline in preference among some mid-market companies due to cost and complexity” Mistral Small · negative prompt · soft negative
“AWS MSK Serverless has a free tier for testing, but avoid full managed for cost” Grok 4.20 · budget prompt · soft negative
“Choose AWS MSK if 100% of your stack is on AWS and you want simple IAM security and consolidated cloud billing.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Start with managed Kafka (Confluent Cloud or MSK) for 6-12 months to validate use cases” GLM 4.7 FlashX · scale prompt · first choice
“Great if you are heavily locked into AWS infra and want to keep vendor procurement simple, though developer tooling & UI are basic.” Gemini 3.5 Flash · scale prompt · alternative
Also compared
Confluent Cloud vs Google Cloud Pub/SubConfluent Cloud vs Amazon MSKRedpanda vs Google Cloud Pub/SubRedpanda vs Amazon MSKApache Kafka vs Google Cloud Pub/SubApache Kafka vs Amazon MSKGoogle Cloud Pub/Sub vs NATS JetStreamGoogle Cloud Pub/Sub vs Aiven for Apache KafkaGoogle Cloud Pub/Sub vs Amazon Kinesis Data StreamsNATS JetStream vs Amazon MSKAmazon MSK vs Aiven for Apache KafkaAmazon MSK vs Amazon Kinesis Data StreamsAll twenty-eight head-to-head pages and the full streaming standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.