IT AI Index
Index Vendors › Instaclustr for Apache Kafka · September 2026 Edition
Instaclustr · 1 category · Named, not ranked

Instaclustr for Apache Kafka

9Judge labels
0First choices
0Negative labels
7 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
3 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Instaclustr for Apache Kafka was named 3 times in Streaming, where Confluent Cloud led with 32%. The labels and the evidence are below, counted exactly.
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 Instaclustr for Apache Kafka 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 rateLabelsQuadrant
Streaming platformsData platform0%17 of 780%3under 10 labels · led by Confluent Cloud at 32%

Movement

This is the first edition on this tier, so no move can be computed for Instaclustr for Apache Kafka yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Instaclustr for Apache Kafka across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick01001
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.501001

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
Direct0 labelsNone
Paraphrase9 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative9 labels in all, every segment counted; 0 of the 0 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.

“managed Kafka solution that provides open source, multi-cloud deployments, and strong SLAs” Llama 4 Maverick · Streaming · paraphrase prompt · alternative
“if your top priorities are strong SLAs, open-source control” Perplexity Sonar · Streaming · paraphrase prompt · alternative
“Best for Open-Source Flexibility” MiniMax M2.5 · Streaming · paraphrase 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.

No model argued against it.

Named alongside

The products named in the same answers as Instaclustr for Apache Kafka, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Instaclustr for Apache Kafka was named but was not.
ProductSame answerTook the first choice insteadHead to head
Confluent Cloud9 of 99Not in the top three
Amazon MSK8 of 90Not in the top three
Aiven for Apache Kafka6 of 90Not in the top three
Azure Event Hubs3 of 90Not in the top three
Google Cloud Pub/Sub3 of 90Not in the top three
Redpanda2 of 90Not in the top three
Amazon Kinesis Data Streams1 of 90Not in the top three
Brightcove1 of 90Not in the top three
Google Cloud’s managed Kafka service1 of 90Not in the top three
IBM Video Streaming1 of 90Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Instaclustr for Apache Kafka. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 9 of the 9 answers that named Instaclustr for Apache Kafka and are not a share of its labels.

Domains cited

instaclustr.comYour site9
inteca.com8
confluent.io6
automq.com4
risingwave.com4
aws.amazon.com3
redpanda.com3
acemq.com2
axonops.com2
canonical.com2

Thirty-four of the forty-three domain citations in answers naming Instaclustr for Apache Kafka came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Instaclustr for Apache Kafka

What the judge wrote, as written, with how often. The vendor table decides that these count as Instaclustr for Apache Kafka; a claim can dispute any of them.
Instaclustr (NetApp) 1NetApp Instaclustr for Apache Kafka 1
Is this your product?

Claim this page

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 Instaclustr for Apache Kafka'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 Instaclustr for Apache Kafka, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at instaclustr.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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