Index › IT › Products › kdb+ · November 2026 Edition
Time series databases · Ranked

kdb+

#62Best rank (enterprise)
11/14Models named it
0First choices
19Warnings
November 2026 Edition · all company sizes counted.
Ranked inTime series databases #62 enterprise

Why models recommend it

“Best for: Financial tick data, institutional finance and quantitative research”Muse Glimmer 30B · Comparative question · alternative

What gives them pause

“Avoid ultra-enterprise like kdb+ or pure big-data tools unless your ingest is petabyte-scale.”Grok 4.20 · Direct question · warning
“Avoid commercial-only DBs like kdb+ (very expensive)”Grok 4.20 · Budget-constrained question · warning
“Beware Vendor Lock-in and Cost: kdb+ ... licensing costs are astronomical”Qwen 3.7 Flash · Negative question · warning
“though it has a steep learning curve and high licensing costs”Gemini 3.5 Flash · Comparative question · warning

Also on the shortlist

The products named in the same answers as kdb+, over the 30 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named kdb+ came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 24 of the 30 answers that named kdb+ and are not a share of its labels.

Domains cited

influxdata.com17
tigerdata.com16
github.com14
db-engines.com12
questdb.com12
g2.com10
timestored.com9
clickhouse.com7
cratedb.com6
news.ycombinator.com6

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

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on kdb+ across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00101
Grok 4.2000123
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00011
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001