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Index › Products › Apache Druid · October 2026 Edition
2 categories · Named, not ranked

Apache Druid

19Judge labels
0First choices
8Negative labels
10 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, 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. Apache Druid was named 3 times in Time series DBs and 1 other category, where TimescaleDB led with 63%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
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 Apache Druid 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 rateLabelsQuadrantSince September 2026
Time series databasesData platform0%37 of 6650%2under 10 labels · led by TimescaleDB at 63%
Telemetry pipelinesIT operations and endpoint0%53 of 1240%1under 10 labels · led by OpenTelemetry Collector at 37%

Movement

This is the first edition on this tier, so no move can be computed for Apache Druid 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 Apache Druid across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500011
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Paraphrase2 labelsNone
Comparative5 labelsNone
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative9 labelsNone
First choiceAlternativeMentionNegative19 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.

“such as VictoriaMetrics, TimescaleDB, QuestDB, or Druid” Qwen 3.7 Flash · Telemetry pipelines · negative 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.

“Druid does not support short frequent insertions, making it unsuitable for high-frequency streaming scenarios.” Claude Haiku 4.5 · Time series DBs · negative prompt · hard negative

Named alongside

The products named in the same answers as Apache Druid, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Apache Druid was named but was not.
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ProductSame answerTook the first choice insteadHead to head
ClickHouse Cloud16 of 190Not among the top eight
TimescaleDB15 of 199Not among the top eight
InfluxDB14 of 195Not among the top eight
QuestDB13 of 191Not among the top eight
Prometheus10 of 191Not among the top eight
Amazon Timestream8 of 192Not among the top eight
VictoriaMetrics7 of 191Not among the top eight
PostgreSQL5 of 191Not among the top eight
Apache Cassandra5 of 190Not among the top eight
OpenTSDB5 of 190Not 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 Apache Druid. 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 14 of the 19 answers that named Apache Druid and are not a share of its labels.

Search and answers

druid.apache.org is not in Google's top ten for any of the category's searches. In the answers, Apache Druid takes 0% of first choices and TimescaleDB takes 63%.
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In search

Google, US estimates
Position for “time series database”
–
not in the top ten
Position for “time series databases”
–
not in the top ten
Searches for its name, Google
880 a month (“apache druid”)
AI search demand for its name, est.
27 a month
Organic visits to its site
about 796 a month
Searches its site ranks for
109 · 20 in the top three
Sites linking to it
1,828
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
0%
rank 37 of 66 in time series dbs
Segment leader
63%
TimescaleDB
First choices
0 across its categories
Named in
19 answers
Its own site cited
in 14 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on druid.apache.org
275
subdomains included
Content
6
counted in the table below
Documentation
258
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Comparison6undated
How it is countedHide how it is counted

Every page druid.apache.org exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.

Names read as Apache Druid

What the judge wrote, as written, with how often. The vendor table decides that these count as Apache Druid; a claim can dispute any of them.
Druid 2

Follow Apache Druid

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.

The company

Apache Druid is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
A high performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale and under load.
For
Developers and analysts
Not stated on the pages read
Price, starting price, free plan or trial, integrations, certifications, hosting, customers

What Apache Druid's own pages state, read October 5, 2026: druid.apache.org, druid.apache.org/docs/latest/multi-stage-query/security. A claimed page can correct any of them.

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 Apache Druid'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 Apache Druid, 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 Apache Druid by email, built from the raw record of the edition. It shows:

  • where Apache Druid 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 Apache Druid, 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.
The subscriber app

A verification link goes to your work email; an address at druid.apache.org is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.