Streaming platforms
Asked as “event streaming platform”, and as “managed Kafka or streaming service”, on behalf of a mid-market B2B company. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
39%
Contested · Redpanda 21%
39Confluent Cloud21Redpanda07Apache Kafka33others
39% of first choices, contested.
Since September 2026▲+5Since September 2026: 32% → 37%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Confluent Cloud held the lead, +5 points on 32%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Confluent Cloud21%Contested↗new leaderNew leader since September 2026: Confluent Cloud (22%) replaces Redpanda (30% then, 12% now), 10 points clear, inside the 11-point floor.Standing →Mid-marketConfluent Cloud39%Contested▲+5Since September 2026: 32% → 37%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterpriseConfluent Cloud61%Clear leader=heldSince September 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →
Confluent Cloud21%Contested↗new leaderNew leader since September 2026: Confluent Cloud (22%) replaces Redpanda (30% then, 12% now), 10 points clear, inside the 11-point floor.Standing →Mid-marketConfluent Cloud39%Contested▲+5Since September 2026: 32% → 37%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageEnterpriseConfluent Cloud61%Clear leader=heldSince September 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Confluent Cloud39%18%61endorsed leader▲+5Since September 2026: 32% → 37%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.32% → 37%
Confluent Cloud39%18%61endorsed leader▲+5Since September 2026: 32% → 37%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.32% → 37%02
Redpanda21%2%51accepted challenger▲+3Since September 2026: 17% → 20%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 20%
Redpanda21%2%51accepted challenger▲+3Since September 2026: 17% → 20%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.17% → 20%03
Apache Kafka7%34%53criticized challenger▼−11Since September 2026: 17% → 6%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.17% → 6%
Apache Kafka7%34%53criticized challenger▼−11Since September 2026: 17% → 6%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.17% → 6%04
YouTube Live4%31%13criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%
YouTube Live4%31%13criticized challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 4%05
Amazon MSK2%10%42accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 2%
Amazon MSK2%10%42accepted challenger▼−4Since September 2026: 6% → 2%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 2%06
Aiven for Apache Kafka2%0%16accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%
Aiven for Apache Kafka2%0%16accepted challenger▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 2%07
Apache Pulsar2%21%33accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Apache Pulsar2%21%33accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%08
Google Cloud Pub/Sub2%23%30accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Google Cloud Pub/Sub2%23%30accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Azure Event Hubs2%24%33accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Azure Event Hubs2%24%33accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%10
Amazon Kinesis Data Streams2%34%38criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Amazon Kinesis Data Streams2%34%38criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%Show the one product at 0%, ordered by negative rate
11
RabbitMQ0%43%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
RabbitMQ0%43%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%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
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Head to head
All twenty-eight head-to-head pages: the top eight products, each against each
Confluent Cloud vs Amazon MSKConfluent Cloud vs Aiven for Apache KafkaConfluent Cloud vs Apache PulsarConfluent Cloud vs Google Cloud Pub/SubRedpanda vs Apache KafkaRedpanda vs YouTube LiveRedpanda vs Amazon MSKRedpanda vs Aiven for Apache KafkaRedpanda vs Apache PulsarRedpanda vs Google Cloud Pub/SubApache Kafka vs YouTube LiveApache Kafka vs Amazon MSKApache Kafka vs Aiven for Apache KafkaApache Kafka vs Apache PulsarApache Kafka vs Google Cloud Pub/SubYouTube Live vs Amazon MSKYouTube Live vs Aiven for Apache KafkaYouTube Live vs Apache PulsarYouTube Live vs Google Cloud Pub/SubAmazon MSK vs Aiven for Apache KafkaAmazon MSK vs Apache PulsarAmazon MSK vs Google Cloud Pub/SubAiven for Apache Kafka vs Apache PulsarAiven for Apache Kafka vs Google Cloud Pub/SubApache Pulsar vs Google Cloud Pub/Sub
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Confluent Cloud39%
Confluent Cloud39%02Redpanda21%
Redpanda21%03Apache Kafka7%
Apache Kafka7%04YouTube Live4%
YouTube Live4%05Amazon MSK2%
Amazon MSK2%06Aiven for Apache Kafka2%
Aiven for Apache Kafka2%07Apache Pulsar2%
Apache Pulsar2%08Google Cloud Pub/Sub2%
Google Cloud Pub/Sub2%09Azure Event Hubs2%
Azure Event Hubs2%10Amazon Kinesis Data Streams2%
Amazon Kinesis Data Streams2%11RabbitMQ0%
RabbitMQ0%What they warned about
Three of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Apache Kafka34%
18 of 53 labels negative · 11 of 14 models
“Do not host raw Apache Kafka on your own EC2/Kubernetes clusters. The operational overhead ... is a massive "ops tax" your company shouldn't pay.” Gemini 3.5 Flash, scale prompt
Amazon Kinesis Data Streams34%
13 of 38 labels negative · 10 of 14 models · 2 hard negative
“AWS Kinesis & Cloud-Walled Gardens (Avoid if Multi-Cloud)” Qwen 3.7 Flash, negative prompt
Confluent Cloud18%
11 of 61 labels negative · 8 of 14 models
“**Why cautious**: High operational complexity (partition management, rebalancing, monitoring—even post-KRaft/ZooKeeper). Steep learning curve” Grok 4.1 Fast, negative prompt
Azure Event Hubs24%
8 of 33 labels negative · 7 of 14 models · 2 hard negative
“Services like **Amazon Kinesis**, **Azure Event Hubs**, and **Google Pub/Sub** are convenient "walled gardens."” Qwen 3.7 Flash, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1002 links across 276 sites, every framing counted. Ranked by the number of answers carrying the site or page. 28 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Redpanda29 answers · 39 citations · 10 models
26 answers · 30 citations · 11 models
vendor site · Dacast24 answers · 35 citations · 10 models
vendor site · AutoMQ24 answers · 31 citations · 11 models
22 answers · 35 citations · 11 models
vendor site · Guideflow20 answers · 21 citations · 11 models
19 answers · 20 citations · 10 models
vendor site · Airbyte19 answers · 19 citations · 11 models
vendor site · G218 answers · 23 citations · 9 models
vendor site · Apidog17 answers · 17 citations · 9 models
16 answers · 21 citations · 8 models
vendor site · Estuary14 answers · 16 citations · 8 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
25 answers · 11 models
19 answers · 10 models
16 answers · 9 models
16 answers · 11 models
15 answers · 10 models
13 answers · 7 models
12 answers · 9 models
10 answers · 5 models
9 answers · 5 models
9 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best event streaming platform”, “event streaming platform”, “event streaming platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Confluent Cloud confluent.io | 39% | 170 | 1,300 | 15 | 180,829 | $256 | 95 | 1 |
| Redpanda redpanda.com | 21% | 128 | 368,000 | 191 | 10,658 | $25 | 41 | 3 |
| Apache Kafka apache.org Apache Kafka 7%, Apache Pulsar 2% | 9% | 140 | 8,100 | 602 | 1,144,025 | 0 | ||
| Dacast dacast.com | 4% | 23 | 1,000 | 19 | 14,612 | 62 | ||
| YouTube Live youtube.com | 4% | 27 | 33,100 | 21,861 | 3,335,384,769 | $40 | 7 | 7 |
| Upstash upstash.com Upstash Kafka 2%, Upstash 2% | 4% | 10 | 40 | 0 | 3,489 | |||
| Amazon aws.amazon.com Amazon MSK 2% | 2% | 111 | 151,000,000 | 1,380,939 | 9,238,321 | $20,476 | ||
| Aiven aiven.io Aiven for Apache Kafka 2% | 2% | 54 | 1,600 | 21 | 10,024 company | $59 | 26 | |
| Google Cloud cloud.google.com Google Cloud Pub/Sub 2% | 2% | 83 | 165,000 | 7,596 | 7,405,347 | |||
| Azure parent site Azure Event Hubs 2% | 2% | 83 | 301,000 | 47,904 |
Google's top ten for the three searches hold 14 sites; 2 of them are among the sites the models cited here (confluent.io, redpanda.com). The first result for “best event streaming platform” is confluent.io.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best event streaming platform for a mid-market B2B company?”Paraphrase“Which managed Kafka or streaming service would you recommend to a mid-sized B2B company?”Comparative“What are the top event streaming platforms and how do they differ?”Budget-constrained“What is the best event streaming platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an event streaming platform. What should we look at?”Negative“Which event streaming platforms should I avoid or be cautious about?”
Claude Haiku 4.5DacastConfluent CloudChangedno first choiceFacebook Live, YouTube Liveno first choicenothing named
Four alternatives
Accelevents, Bizzabo, Goldcast, Virtual PROTwo alternatives
Amazon MSK, Azure Event HubsThree alternatives
Dacast, Restream, StreamYardGPT-5.4 miniAzure Event HubsConfluent CloudChangedApache KafkaApache Kafkaagainst: Confluent Cloudno first choiceagainst: Apache Kafka, RabbitMQ, Redpanda
Three alternatives
Amazon Kinesis Data Streams, Apache Kafka, Confluent CloudTwo alternatives
Amazon MSK, Azure Event Hubs with Kafka supportThree alternatives
Apache Pulsar, Confluent Cloud, RedpandaTwo alternatives
Amazon MSK, RabbitMQGemini 3.5 FlashRedpandaagainst: Apache Kafka, Cvent, ON24Confluent CloudChangedApache Kafka, Confluent Cloudagainst: Amazon Kinesis Data Streams, Google Cloud Pub/SubWarpStreamagainst: Amazon MSK, Apache KafkaRedpandaagainst: Amazon Kinesis Data Streams, Apache Kafka, Google Cloud Pub/Subagainst: ActiveMQ Classic, Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, Azure Event Hubs, Legacy TIBCO, MongoDB, PostgreSQL, Redis
Five alternatives
Confluent Cloud, Demio, Goldcast, Livestorm, WarpStreamFour alternatives
Aiven for Apache Kafka, Amazon MSK, Redpanda, WarpStreamFour alternatives
Apache Pulsar, AutoMQ, Redpanda, WarpStreamEight alternatives
EventLive, Luma, Microsoft, NATS JetStream, Redpanda, Twitch, YouTube Live, ZoomThree alternatives
Aiven for Apache Kafka, Confluent Cloud, WarpStreamPerplexity SonarBizzaboConfluent CloudChangedno first choiceStreamYard, YouTube Liveagainst: Dacastno first choiceagainst: Amazon Kinesis Data Streams, Apache Flink, Apache Kafka, Apache Spark, Azure Event Hubs, Confluent Cloud, Google Cloud Pub/Sub, RabbitMQ
One alternative
DacastTwo alternatives
Amazon MSK, NetApp InstaclustrOne alternative
Facebook LiveGrok 4.1 FastConfluent Cloudagainst: Apache KafkaConfluent CloudHeldagainst: UpstashAmazon MSK, Apache Kafka, Confluent CloudRedpandaagainst: Amazon MSK, Confluent CloudAmazon Kinesis Data Streams, Confluent Cloudagainst: RabbitMQagainst: Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, Confluent Cloud, NATS JetStream, Redis Streams
Three alternatives
Amazon Kinesis Data Streams, Google Cloud Pub/Sub, RedpandaTwo alternatives
Aiven for Apache Kafka, Amazon MSKFive alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, RedpandaTwo alternatives
Apache Kafka, Google Cloud Pub/SubOne alternative
Apache KafkaMistral SmallMicrosoft Teams Live Events, Zoom EventsDattell, UpstashChangedno first choiceagainst: Adobe ConnectApache Kafkano first choiceagainst: Amazon Kinesis Data Streams, Hevo Data
Four alternatives
Amazon Kinesis Data Streams, Apache Kafka, Cisco Webex Events, Vimeo LivestreamTwo alternatives
Canonical, RedpandaFive alternatives
Apache Pulsar, Confluent Cloud, Mosquitto, NATS, RedpandaDeepSeek V4 FlashRedpandaagainst: Apache KafkaConfluent CloudChangedApache KafkaRedpandaagainst: Confluent Cloudno first choiceagainst: Amazon Kinesis Data Streams, Apache Kafkaagainst: Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, Confluent Cloud, Facebook Live, Google Cloud Pub/Sub, Twitch, Wowza, YouTube Live
Two alternatives
Amazon Kinesis Data Streams, Confluent CloudTwo alternatives
Amazon MSK, RedpandaFive alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, RedpandaThree alternatives
Aiven for Apache Kafka, Amazon MSK, Apache KafkaLlama 4 MaverickDacastConfluent CloudChangedagainst: Apache Kafkano first choiceno first choiceno first choiceagainst: Apache Pulsar
Two alternatives
Contentflow, KalturaThree alternatives
Amazon MSK, Redpanda, WarpStreamQwen 3.7 FlashConfluent Cloud, RedpandaConfluent CloudChangedagainst: Azure Event HubsApache KafkaRedpandaagainst: Amazon MSK, Confluent Cloudno first choiceagainst: Amazon Kinesis Data Streams, Apache Kafka, Azure Event Hubs, Confluent Cloud, Google Cloud Pub/Sub, NATS, RabbitMQ
Three alternatives
Amazon MSK, Azure Event Hubs, Google Cloud Pub/SubThree alternatives
Aiven for Apache Kafka, Amazon MSK, RedpandaThree alternatives
Apache Pulsar, Confluent Cloud, RedpandaSix alternatives
Aiven for Apache Kafka, Facebook Live, RabbitMQ, StreamYard, Vimeo Livestream, YouTube LiveKimi K2Confluent CloudAmazon MSK, RedpandaChangedagainst: Confluent CloudApache KafkaConfluent Cloud, Upstash Kafkaagainst: Apache KafkaConfluent Cloud, Redpandaagainst: Apache Pulsaragainst: Apache Heron, Apache Kafka, Apache Pulsar, AthenaX, Facebook Live, IBM Event Streams, NATS Streaming, RabbitMQ, S4, SensorBee, YouTube Live
Two alternatives
Amazon Kinesis Data Streams, RedpandaOne alternative
StreamNativeFive alternatives
Amazon Kinesis Data Streams, Amazon MSK, Apache Pulsar, Confluent Cloud, RedpandaThree alternatives
Amazon MSK, Self-Hosted NATS + JetStream, Self-Hosted RedpandaThree alternatives
Amazon Kinesis Data Streams, Amazon MSK, Azure Event HubsGLM 4.7 FlashXConfluent Cloudagainst: Amazon MSK, Azure Event Hubs, Google Cloud Pub/SubConfluent CloudHeldApache KafkaApache Pulsaragainst: Confluent Cloudno first choiceagainst: Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, Facebook Live, IBM Event Streams, Instagram Live, RabbitMQ, YouTube Live
One alternative
Aiven for Apache KafkaTwo alternatives
Aiven for Apache Kafka, Amazon MSKNine alternatives
Amazon Kinesis Data Streams, Amazon MSK, Apache Pulsar, Azure Event Hubs, Confluent Cloud, Google Cloud Pub/Sub, NATS, RabbitMQ, RedpandaTwo alternatives
Aiven for Apache Kafka, RabbitMQMiniMax M2.5Aiven for Apache Kafka, RedpandaConfluent CloudChangedApache KafkaApache Kafka, Confluent Cloudno first choiceagainst: Amazon Kinesis Data Streams, Apache Kafka, Azure Event Hubs
Five alternatives
Apache Flink, Google Cloud Dataflow, Google Cloud Pub/Sub, Restream, WebExTwo alternatives
Amazon MSK, Azure Event HubsFour alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Google Cloud Pub/Sub, RedpandaFour alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Google Cloud Pub/Sub, RabbitMQGPT-6 LunaConfluent CloudConfluent CloudHeldno first choiceGoogle Cloud Pub/Subno first choiceagainst: Amazon Kinesis Data Streams, Apache Kafka, Azure Event Hubs
Three alternatives
Amazon MSK, Azure Event Hubs, RedpandaThree alternatives
Aiven for Apache Kafka, Amazon MSK, RedpandaTwo alternatives
Apache Kafka, RedpandaMuse Glimmer 30BApache Kafka, Confluent Cloud, RedpandaConfluent CloudChangedApache KafkaRedpandaagainst: Confluent Cloudno first choiceagainst: Amazon Kinesis Data Streams, Azure Event Hubs, Facebook Live, Google Cloud Pub/Sub, X / formerly Twitter, YouTube Live, Zoom
Six alternatives
Amazon MSK, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, Vimeo Livestream, YouTube LiveTwo alternatives
Amazon MSK, Azure Event Hubs for Apache KafkaFive alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, RedpandaFour alternatives
Aiven for Apache Kafka, Apache Kafka, NATS JetStream, StreamHouseBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:53 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:59 | yes | 3 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:03 | yes | 21 | 22 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:05 | yes | 20 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:32 | yes | 25 | 11 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:29 | yes | 9 | 9 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:22 | yes | 23 | 40 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:02 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:43 | no | 0 | 37 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:18 | yes | 25 | 22 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:04 | yes | 24 | 115 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:28 | yes | 5 | 19 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:11 | yes | 4 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:46 | yes | 14 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 13:44 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:07 | yes | 3 | 7 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:51 | yes | 16 | 27 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 09:00 | yes | 20 | 3 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:48 | yes | 17 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:09 | yes | 10 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:09 | yes | 24 | 30 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:54 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:42 | no | 0 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:14 | yes | 10 | 24 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:22 | yes | 25 | 34 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:34 | yes | 10 | 30 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:14 | yes | 5 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:50 | yes | 15 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:47 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:00 | yes | 5 | 7 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:13 | yes | 18 | 26 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 11:26 | yes | 18 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:42 | yes | 20 | 7 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:46 | yes | 9 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:04 | yes | 23 | 39 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:49 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:41 | no | 0 | 41 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:18 | yes | 9 | 25 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:51 | yes | 10 | 82 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:00 | yes | 5 | 16 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:39 | yes | 8 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:54 | yes | 13 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:37 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:17 | yes | 4 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:29 | yes | 16 | 22 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:44 | yes | 19 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:58 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:41 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:20 | yes | 24 | 42 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:14 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:37 | yes | 10 | 41 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:30 | yes | 20 | 24 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:21 | yes | 23 | 86 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:52 | no | 0 | 55 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:25 | yes | 3 | 13 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:01 | yes | 15 | 24 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:28 | yes | 9 | 8 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:26 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:34 | yes | 11 | 28 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 09:02 | yes | 19 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:21 | yes | 17 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:18 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:51 | yes | 18 | 46 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:10 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:30 | yes | 5 | 27 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:43 | yes | 14 | 19 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:46 | yes | 14 | 18 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:03 | yes | 5 | 32 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:36 | yes | 4 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:54 | no | 0 | 1 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:09 | no | 0 | 2 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:02 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:22 | yes | 15 | 22 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 12:11 | yes | 18 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:53 | yes | 21 | 7 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:57 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:37 | yes | 20 | 28 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:53 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:59 | yes | 15 | 42 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:35 | yes | 25 | 24 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:46 | yes | 25 | 26 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:43 | yes | 15 | 27 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:22 | yes | 4 | 15 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:24 | yes | 14 | 46 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Aiven read as Aiven for Apache Kafka
Amazon Kinesis read as Amazon Kinesis Data Streams
Instaclustr read as Instaclustr for Apache Kafka
Vimeo read as Vimeo Livestream
Vimeo Start read as Vimeo Livestream
YouTube read as YouTube Live
Unresolved, counted raw
ActiveMQ Classic
Adobe Connect
Apache Heron
AthenaX
Azure Event Hubs for Apache Kafka
Azure Event Hubs with Kafka support
Brightcove Live
Canonical's Managed Kafka
Cisco Webex Events
Cloud Temple's Managed Kafka
Contentflow
Converve
Factor House
Flink SQL
Google Cloud's managed Kafka service
JW Player
JWP Connatix
Kafka Streams
Legacy TIBCO
Luma (lu.ma)
Mosquitto (MQTT)
NetApp Instaclustr
Red Hat AMQ Streams
S4
Self-Hosted NATS + JetStream
Self-Hosted Redpanda
SensorBee
SproutVideo
Virtual PRO
X / formerly Twitter
Discontinued, still offered
No shut-down product was recommended here.