Index › Products › KairosDB · October 2026 Edition

1 category · Named, not ranked

KairosDB

9Judge labels

0First choices

8Negative labels

6 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

5 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. KairosDB was named 5 times in Time series DBs, where TimescaleDB led with 63%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business43 of 61

under the label threshold

Mid-market65 of 66

under the label threshold

Enterprise61 of 69

under the label threshold

In time series dbs · 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 KairosDB 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Time series databases	Data platform	0%	65 of 66	100%	5	under 10 labels · led by TimescaleDB at 63%

Movement

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

By model

How each model treated KairosDB across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	1	1
Perplexity Sonar	0	0
Grok 4.1 Fast	1	1
Mistral Small	0	0
DeepSeek V4 Flash	1	1
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	1	1
GPT-6 Luna	0	0
Muse Glimmer 30B	1	1

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

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative8 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.

No positive label carried a quote.

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.

“these are aging, Cassandra-backed engines that have seen very little development activity” Gemini 3.5 Flash · Time series DBs · negative prompt · hard negative

“generally discouraged for new greenfield work. They are operationally heavy” Muse Glimmer 30B · Time series DBs · negative prompt · hard negative

“Avoid abandoned projects like old KairosDB (slow imports, Cassandra quirks)” Grok 4.1 Fast · Time series DBs · negative prompt · hard negative

“Why avoid: A fork of OpenTSDB without the community backing” DeepSeek V4 Flash · Time series DBs · negative prompt · hard negative

Named alongside

The products named in the same answers as KairosDB, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and KairosDB was named but was not.

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ProductSame answerTook the first choice insteadHead to head

TimescaleDB9 of 95Not among the top eight

QuestDB8 of 91Not among the top eight

InfluxDB8 of 90Not among the top eight

VictoriaMetrics7 of 91Not among the top eight

OpenTSDB7 of 90Not among the top eight

Prometheus7 of 90Not among the top eight

ClickHouse Cloud6 of 90Not among the top eight

PostgreSQL5 of 90Not among the top eight

Graphite3 of 90Not among the top eight

MySQL3 of 90Not among the top eight

A head-to-head page exists where both products are among a category's top eight. 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 KairosDB. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 8 of the 9 answers that named KairosDB and are not a share of its labels.

Domains cited

tigerdata.com8

aws.amazon.com6

guideflow.com6

honeycomb.io6

influxdata.com6

questdb.com5

github.com4

ituonline.com4

mgsoftware.nl4

docs.influxdata.com3

No domain is on file for KairosDB, so its own site is not marked.

Pages cited

tigerdata.com/learn/the-best-time-series-databases-compared7

guideflow.com/blog/time-series-database-software6

honeycomb.io/blog/time-series-database6

aws.amazon.com/marketplace/reviews/reviews-list/prodview-4e7raoxoxsl4y5

questdb.com/blog/best-time-series-databases5

github.com/influxdata/influxdb/issues4

ituonline.com/tech-definitions/what-is-a-time-series-database4

mgsoftware.nl/en/tools/best-time-series-databases4

Pages are listed as the models cited them.

Names read as KairosDB

What the judge wrote, as written, with how often. The vendor table decides that these count as KairosDB; a claim can dispute any of them.

OpenTSDB / KairosDB 1

Follow KairosDB

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.

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

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for KairosDB by email, built from the raw record of the edition. It shows:

where KairosDB is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name KairosDB, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.