Streaming platforms for enterprise buyers
Asked as “event streaming platform”, and as “managed Kafka or streaming service”, on behalf of an enterprise B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
61%
Clear leader
61Confluent Cloud09Apache Kafka09Redpanda20others
61% of first choices, clear leader.
Since September 2026=heldSince September 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Confluent Cloud held the lead, ±0 points on 60%, 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.Standing →EnterpriseConfluent Cloud61%Clear leader=heldSince September 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
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.Standing →EnterpriseConfluent Cloud61%Clear leader=heldSince September 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Confluent Cloud61%17%70endorsed leader=heldSince September 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.60% → 60%
Confluent Cloud61%17%70endorsed leader=heldSince September 2026: 60% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.60% → 60%02
Redpanda9%10%40accepted challenger▲+1Since September 2026: 10% → 11%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 11%
Redpanda9%10%40accepted challenger▲+1Since September 2026: 10% → 11%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 11%03
Apache Kafka9%34%47criticized challenger▼−6Since September 2026: 14% → 9%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 9%
Apache Kafka9%34%47criticized challenger▼−6Since September 2026: 14% → 9%, −6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 9%04
Aiven for Apache Kafka6%0%19accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 6%
Aiven for Apache Kafka6%0%19accepted challenger▲+6Since September 2026: 0% → 6%, +6 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 6%05
Amazon MSK4%2%44accepted challenger▼−1Since September 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 4%
Amazon MSK4%2%44accepted challenger▼−1Since September 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.5% → 4%06
Azure Event Hubs2%27%44criticized 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%27%44criticized 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 four products at 0%, ordered by negative rate
10
Amazon Kinesis Data Streams0%40%30criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Amazon Kinesis Data Streams0%40%30criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%09
Apache Pulsar0%31%29criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Apache Pulsar0%31%29criticized challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%07
Google Cloud Pub/Sub0%27%33criticized 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/Sub0%27%33criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08IBM Event Streams0%9%11accepted 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
One product takes 61% of first choices here, so the chart would put nine markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Five products carry a negative rate above 25% in this category.
What they warned about
Eight of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Mistral Small, Llama 4 Maverick, GLM 4.7 FlashX, 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%
16 of 47 labels negative · 12 of 14 models
“**Avoid DIY self-hosting** unless event streaming infrastructure is your company's core product. Instead, opt for enterprise-managed Kafka distributions” Gemini 3.5 Flash, negative prompt
Azure Event Hubs27%
12 of 44 labels negative · 10 of 14 models · 1 hard negative
“Migrating away from AWS Kinesis or Azure Event Hubs is notoriously difficult” Qwen 3.7 Flash, negative prompt
Confluent Cloud17%
12 of 70 labels negative · 10 of 14 models · 1 hard negative
“**Avoid if Predictability is Critical:** - Pure usage-based models like Confluent Cloud Basic/Standard tiers” Kimi K2, budget prompt
Apache Pulsar31%
9 of 29 labels negative · 9 of 14 models · 4 hard negative
“"Unless you are a massive enterprise with strict multi-tenancy needs, steer clear of self-hosting Pulsar."” Muse Glimmer 30B, 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
77 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. 1163 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.
38 answers · 69 citations · 13 models
vendor site · Guideflow31 answers · 41 citations · 11 models
vendor site · Airbyte27 answers · 29 citations · 11 models
26 answers · 30 citations · 12 models
vendor site · Redpanda24 answers · 37 citations · 10 models
vendor site · Dacast24 answers · 35 citations · 9 models
vendor site · AutoMQ24 answers · 28 citations · 11 models
21 answers · 26 citations · 11 models
vendor site · Amazon18 answers · 26 citations · 11 models
vendor site · G217 answers · 23 citations · 8 models
vendor site · Apidog17 answers · 19 citations · 7 models
vendor site · Estuary16 answers · 18 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.
27 answers · 11 models
26 answers · 10 models
17 answers · 7 models
17 answers · 11 models
13 answers · 8 models
13 answers · 6 models
13 answers · 7 models
12 answers · 7 models
11 answers · 8 models
11 answers · 8 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 BYOC confluent.io Confluent Cloud 61%, Confluent BYOC 2% | 63% | 170 | 1,300 | 15 | 180,829 | $256 | 95 | 1 |
| Redpanda redpanda.com | 9% | 128 | 368,000 | 191 | 10,658 | $25 | 41 | 3 |
| Apache Kafka apache.org Apache Kafka 9%, Apache Pulsar 0% | 9% | 140 | 8,100 | 602 | 1,144,025 | 0 | ||
| Aiven aiven.io Aiven for Apache Kafka 6% | 6% | 54 | 1,600 | 21 | 10,024 company | $59 | 26 | |
| Amazon aws.amazon.com Amazon MSK 4% | 4% | 111 | 151,000,000 | 1,380,939 | 9,238,321 | $20,476 | ||
| Azure parent site Azure Event Hubs 2% | 2% | 83 | 301,000 | 47,904 | ||||
| WarpStream warpstream.com | 2% | 18 | 880 | 26 | 463 | $191 | 40 | |
| Bizzabo bizzabo.com | 2% | 4 | 2,400 | 41 | 13,809 | $8 | 15 | |
| Amazon MSK Provisioned | 2% | |||||||
| Managed Apache Pulsar | 2% |
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 an enterprise B2B company?”Paraphrase“Which managed Kafka or streaming service would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade event streaming platforms and how do they differ?”Budget-constrained“What is the best event streaming platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an event streaming platform. What should we look at?”Negative“Which event streaming platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5BizzaboConfluent CloudChangedApache KafkaConfluent Cloudagainst: Amazon Kinesis Data Streams, Apache Kafka, Azure Event Hubsno first choiceagainst: Apache Pulsar, RabbitMQ, Redis Streams
Four alternatives
EnterpriseTube, Goldcast, ON24, Vimeo LivestreamOne alternative
Amazon MSKFive alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Confluent Cloud, EventBridgeGPT-5.4 miniConfluent CloudConfluent CloudHeldApache Kafka, Confluent Cloudagainst: Apache PulsarRedpandaagainst: Confluent CloudConfluent Cloudagainst: Apache Kafka, Azure Event Hubs, Self-managed Kafka clusters, ksqlDB
Three alternatives
Amazon Kinesis Data Streams, Amazon MSK, RedpandaThree alternatives
Amazon MSK, Azure Event Hubs, Google Cloud Pub/SubFour alternatives
Amazon MSK, Google Cloud Managed Service for Apache Kafka, Google Cloud Pub/Sub, RedpandaOne alternative
Apache KafkaTwo alternatives
Aiven for Apache Kafka, RedpandaGemini 3.5 FlashConfluent CloudConfluent CloudHeldApache Kafkaagainst: Amazon Kinesis Data Streams, Azure Event Hubs, Google Cloud Pub/SubRedpanda, WarpStreamagainst: Amazon MSK, Apache Kafka, Confluent CloudConfluent Cloudagainst: ActiveMQ, Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, Google Cloud Pub/Sub, NATS JetStream, RabbitMQ, Redis Streams
Five alternatives
Apache Pulsar, Bizzabo, Cvent, Goldcast, RedpandaThree alternatives
Aiven for Apache Kafka, Amazon MSK, RedpandaThree alternatives
Apache Pulsar, Redpanda, Solace PubSub+Three alternatives
Aiven for Apache Kafka, Sequel.io, TrueConf ServerThree alternatives
Aiven for Apache Kafka, Amazon MSK, RedpandaPerplexity SonarConfluent Cloudagainst: Apache KafkaConfluent CloudHeldApache Kafka, Confluent CloudApache Kafkano first choiceagainst: ActiveMQ, RabbitMQ
One alternative
IBM Event StreamsFour alternatives
Amazon MSK, Google Cloud Managed Service for Apache Kafka, Instaclustr for Apache Kafka, RedpandaFive alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, Solace Event MeshOne alternative
Confluent CloudGrok 4.1 FastConfluent Cloudagainst: Apache KafkaConfluent CloudHeldagainst: Azure Event Hubs, Google Cloud Pub/SubApache Kafka, Confluent CloudAmazon MSKagainst: Amazon Kinesis Data Streams, Apache Kafka, Confluent Cloud, Google Cloud Pub/SubConfluent Cloudagainst: Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, Basic Pub/Sub Systems, Google Cloud Pub/Sub, RabbitMQ, Redis Streams
Two alternatives
Amazon MSK, RedpandaThree alternatives
Aiven for Apache Kafka, Amazon MSK, Instaclustr for Apache KafkaFive alternatives
Amazon Kinesis Data Streams, Amazon MSK, Apache Pulsar, Azure Event Hubs, RedpandaOne alternative
Azure Event HubsThree alternatives
Aiven for Apache Kafka, Amazon MSK, RedpandaMistral SmallApache KafkaConfluent CloudChangedApache Kafka, Confluent CloudAiven for Apache Kafka, Redpandaagainst: Apache Kafka, Confluent Cloudno first choiceagainst: Apache Flink, Apache Pulsar
Two alternatives
Amazon MSK, Confluent CloudFour alternatives
Aiven for Apache Kafka, Amazon MSK, Azure Event Hubs, Google Cloud Pub/SubFive alternatives
Amazon MSK, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, RedpandaDeepSeek V4 FlashConfluent CloudConfluent CloudHeldApache KafkaRedpandaagainst: Amazon Kinesis Data Streams, Azure Event Hubs, Confluent Cloud, Google Cloud Pub/SubConfluent Cloudagainst: Apache Kafkaagainst: Amazon Kinesis Data Streams, Apache Kafka, Azure Event Hubs, Confluent Cloud, Google Cloud Pub/Sub, KubeMQ, NATS JetStream, RabbitMQ, Redis Pub/Sub, Redpanda
Two alternatives
Apache Kafka, RedpandaTwo alternatives
Aiven for Apache Kafka, Amazon MSKSix alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Confluent Cloud, Google Cloud Pub/Sub, RedpandaOne alternative
Apache KafkaTwo alternatives
IBM Event Streams, RedpandaLlama 4 MaverickApache Kafka, Confluent Cloudno first choiceChangedno first choiceno first choiceno first choiceagainst: Apache Kafka, Confluent Cloud
Qwen 3.7 FlashConfluent CloudConfluent CloudHeldno first choiceAiven for Apache Kafka, Confluent BYOCno first choiceagainst: ActiveMQ, Amazon Kinesis Data Streams, Apache Flink, Apache Pulsar, Azure Event Hubs, RabbitMQ, Raw Apache Kafka, Spark Structured Streaming
Three alternatives
Aiven for Apache Kafka, Amazon MSK, Azure Event HubsOne alternative
Amazon MSKOne alternative
RedpandaKimi K2Confluent Cloudagainst: Apache KafkaConfluent CloudHeldApache KafkaRedpandaagainst: Confluent Cloud, RedpandaAzure Event Hubs, Confluent Cloudagainst: Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub
Two alternatives
Amazon MSK, Azure Event HubsTwo alternatives
Amazon MSK, RedpandaFive alternatives
Amazon MSK, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, RedpandaThree alternatives
Amazon MSK, Apache Kafka, Confluent CloudTwo alternatives
Amazon MSK, RedpandaGLM 4.7 FlashXAiven for Apache Kafka, Confluent CloudConfluent CloudChangedApache KafkaManaged Apache Pulsarno first choiceagainst: ActiveMQ, Apache Kafka, Azure Event Hubs, IBM Event Streams, RabbitMQ
Four alternatives
Amazon Kinesis Data Streams, Apache Kafka, Azure Event Hubs, IBM Event StreamsFour alternatives
Amazon MSK, Azure Event Hubs, IBM Event Streams, Red Hat StreamsNine alternatives
Aiven for Apache Kafka, Amazon Kinesis Data Streams, Amazon MSK, Apache Pulsar, Azure Event Hubs, Confluent Cloud, Google Cloud Pub/Sub, NATS JetStream, RedpandaFour alternatives
Amazon MSK, Confluent Cloud, Databricks, DattellMiniMax M2.5Amazon MSK, Apache Kafka, Confluent CloudConfluent CloudChangedApache KafkaConfluent Cloudagainst: Shoutcast Netno first choiceagainst: Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, Confluent Cloud
Three alternatives
Amazon Kinesis Data Streams, Azure Event Hubs, Google Cloud Pub/SubThree alternatives
Amazon MSK, Azure Event Hubs, Google Cloud Pub/SubFive alternatives
Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, RedpandaTwo alternatives
Apache Kafka, Oracle Cloud StreamingGPT-6 LunaConfluent CloudConfluent CloudHeldConfluent CloudAmazon MSK Provisionedagainst: Confluent Cloudno first choiceagainst: Amazon Kinesis Data Streams, Apache Kafka, Apache Pulsar, self-hosted, Azure Event Hubs, Google Cloud Pub/Sub, Redpanda
Three alternatives
Amazon MSK, Azure Event Hubs, Google Cloud Pub/SubTwo alternatives
Amazon MSK, Azure Event HubsSix alternatives
Amazon MSK, Apache Pulsar, Azure Event Hubs, Google Cloud Managed Service for Apache Kafka, Google Cloud Pub/Sub, RedpandaOne alternative
Azure Event HubsMuse Glimmer 30BApache Kafka, Confluent CloudConfluent CloudChangedApache Kafka, Confluent CloudConfluent Cloudagainst: Azure Event Hubs, Confluent Cloud, Redpandano first choiceagainst: Amazon Kinesis Data Streams, Apache Pulsar, Azure Event Hubs, Confluent Cloud, LinkedIn, RabbitMQ, Redis Streams, YouTube Live
Four alternatives
Amazon Kinesis Data Streams, Azure Event Hubs, LinkedIn Live, Microsoft Teams Live EventsTwo alternatives
Amazon MSK, Azure Event HubsSix alternatives
Amazon Kinesis Data Streams, Amazon MSK, Apache Pulsar, Azure Event Hubs, Google Cloud – Pub/Sub, Redpanda DataTwo alternatives
Oracle Streaming, RedpandaBold 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 07:39 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:19 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:28 | yes | 21 | 28 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 09:15 | yes | 15 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:05 | yes | 24 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:39 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:34 | yes | 24 | 34 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:06 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:48 | no | 0 | 26 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:16 | yes | 15 | 26 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:53 | yes | 24 | 24 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:14 | no | 0 | 56 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 07:57 | yes | 4 | 18 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:15 | yes | 14 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:41 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:28 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:51 | no | 0 | 17 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:47 | yes | 19 | 5 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:47 | yes | 25 | 16 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:46 | no | 0 | 6 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:06 | yes | 25 | 39 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:57 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 12:29 | yes | 20 | 75 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:39 | yes | 15 | 22 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:51 | yes | 15 | 61 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:39 | yes | 5 | 21 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:05 | yes | 3 | 9 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:43 | yes | 20 | 37 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:04 | yes | 18 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:36 | yes | 8 | 12 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:36 | yes | 18 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 12:12 | yes | 17 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:53 | yes | 24 | 59 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:45 | yes | 14 | 10 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:18 | yes | 24 | 53 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:33 | yes | 5 | 1 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:52 | yes | 10 | 26 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:23 | yes | 20 | 34 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:14 | yes | 21 | 115 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:33 | yes | 14 | 21 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:44 | yes | 8 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:57 | yes | 15 | 34 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:28 | yes | 28 | 11 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:57 | yes | 5 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:41 | yes | 19 | 32 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 07:51 | yes | 17 | 2 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:04 | yes | 24 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:00 | yes | 20 | 24 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:16 | yes | 22 | 28 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:28 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:28 | yes | 22 | 92 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:37 | yes | 24 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:20 | yes | 24 | 104 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:27 | yes | 20 | 59 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:06 | yes | 3 | 18 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:20 | yes | 23 | 37 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:54 | yes | 26 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:24 | yes | 5 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:51 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:30 | yes | 18 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:48 | yes | 19 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:30 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:39 | yes | 24 | 56 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:04 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:50 | yes | 8 | 62 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:07 | yes | 15 | 23 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:39 | yes | 24 | 229 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:43 | yes | 5 | 64 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:43 | yes | 2 | 24 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:44 | yes | 23 | 43 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:43 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:00 | yes | 3 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:27 | yes | 14 | 35 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 11:07 | yes | 16 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:16 | yes | 19 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:07 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:53 | yes | 24 | 34 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:08 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:44 | yes | 12 | 40 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:59 | yes | 24 | 23 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:44 | yes | 25 | 45 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:20 | yes | 9 | 29 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:02 | yes | 5 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:27 | yes | 21 | 42 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
Amazon Managed Streaming for Kafka (MSK) read as Amazon MSK
Instaclustr read as Instaclustr for Apache Kafka
Vimeo read as Vimeo Livestream
Vimeo Enterprise read as Vimeo Livestream
YouTube read as YouTube Live
Unresolved, counted raw
Ably Realtime
Amazon MSK Provisioned
Apache Pulsar, self-hosted
Basic Pub/Sub Systems (e.g., plain Redis Pub/Sub or lightweight brokers)
Cloudera DataFlow
Confluent BYOC
DataStax Astra
EnterpriseTube
Event Grid
Event Tech Stack
EventBridge
Google Cloud – Pub/Sub
IBM Cloud Video
IBM Confluent
Inteca
Keen IO
KubeMQ
LinkedIn
Live Group
Managed Apache Pulsar (StreamNative)
Oracle Cloud Streaming
Oracle Streaming
Raw Apache Kafka
Red Hat Streams
Redpanda Data
SAS Event Stream Processing
Self-managed Kafka clusters
Sequel.io
Service Bus
Shoutcast Net
Solace Event Mesh
Spark Structured Streaming
Striim
TIBCO Software
TrueConf Server
Twebcast
Discontinued, still offered
No shut-down product was recommended here.