Index › Products › kdb+ · October 2026 Edition

1 category · Named, not ranked

kdb+

10Judge labels

0First choices

4Negative labels

7 / 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. kdb+ 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 business52 of 61

under the label threshold

Mid-market23 of 66

under the label threshold

Enterprise52 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 kdb+ 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%	23 of 66	20%	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 kdb+ 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 kdb+ across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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

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

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative6 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative10 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.

“Legendary performance for financial tick data, ranked #3 on DB-Engines” DeepSeek V4 Flash · Time series DBs · comparative 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.

“Why avoid (for most): ... prohibitively expensive and difficult to hire for” Qwen 3.7 Flash · Time series DBs · negative prompt · hard negative

Named alongside

The products named in the same answers as kdb+, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and kdb+ was named but was not.

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ProductSame answerTook the first choice insteadHead to head

QuestDB10 of 101Not among the top eight

ClickHouse Cloud10 of 100Not among the top eight

InfluxDB8 of 102Not among the top eight

TimescaleDB8 of 101Not among the top eight

VictoriaMetrics7 of 101Not among the top eight

Prometheus7 of 100Not among the top eight

Amazon Timestream6 of 101Not among the top eight

TDengine3 of 100Not among the top eight

Apache Druid2 of 100Not among the top eight

Apache Cassandra1 of 100Not 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 kdb+. 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 9 of the 10 answers that named kdb+ and are not a share of its labels.

Domains cited

tigerdata.com8

guideflow.com7

questdb.com7

mgsoftware.nl6

influxdata.com5

clickhouse.com4

daily.dev4

db-engines.com4

kx.com4

viasocket.com4

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

Pages cited

tigerdata.com/learn/the-best-time-series-databases-compared8

guideflow.com/blog/time-series-database-software7

mgsoftware.nl/en/tools/best-time-series-databases6

questdb.com/blog/best-time-series-databases6

daily.dev/blog/top-10-dbaas-for-iot-and-time-series-data-20244

db-engines.com/en/ranking/time+series+dbms4

viasocket.com/discovery/blog/0q7cxp/top-time-series-databases-for-real-time-analytics4

clickhouse.com/resources/engineering/what-is-time-series-database3

Pages are listed as the models cited them.

Names read as kdb+

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

KX/kdb+ 1Kdb+ 1kdb+ (by Kx Systems) 1

Follow kdb+

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 kdb+'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 kdb+, 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 kdb+ by email, built from the raw record of the edition. It shows:

where kdb+ 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 kdb+, 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.