Every category where a model named Amazon Timestream 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%	11 of 66	17%	18	accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Amazon Timestream 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 Amazon Timestream 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	3	0	1	4
Grok 4.1 Fast	0	1	1	2
Mistral Small	0	2	0	2
DeepSeek V4 Flash	0	2	1	3
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	1	0	1
Kimi K2	0	0	0	0
GLM 4.7 FlashX	1	1	0	2
MiniMax M2.5	1	1	0	2
GPT-6 Luna	0	1	0	1
Muse Glimmer 30B	1	0	0	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

Direct12 labels1

Paraphrase9 labels1

Comparative17 labels1not counted in share

Budget-constrained10 labels1

Scale-constrained17 labelsNone

Negative7 labels1not counted in share

First choiceAlternativeMentionNegative72 labels in all, every segment counted; 3 of the 5 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 services (Amazon Timestream, InfluxDB Enterprise, etc.) - If you want to minimize operational burden” GLM 4.7 FlashX · Time series DBs · scale prompt · alternative

“best if you are already deep in AWS and want a managed, serverless option” Perplexity Sonar · Time series DBs · direct prompt · alternative

“Fully managed, auto-scaling - Good if you're already in AWS ecosystem” MiniMax M2.5 · Time series DBs · direct prompt · alternative

“Choose Amazon Timestream if you want a managed AWS option.” Perplexity Sonar · 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.

“AWS deprecated the LiveAnalytics feature ... vendor lock-in, unpredictable costs, and weaker query flexibility” Grok 4.1 Fast · Time series DBs · negative prompt · soft negative

“If you want zero ops and are cloud-locked | Less portable; vendor lock-in” DeepSeek V4 Flash · Time series DBs · scale prompt · soft negative

“not typically the cheapest choices for a budget-conscious team” Perplexity Sonar · Time series DBs · budget prompt · soft negative

Named alongside

The products named in the same answers as Amazon Timestream, over the 72 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amazon Timestream was named but was not.

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ProductSame answerTook the first choice insteadHead to head

InfluxDB66 of 7216Not among the top eight

TimescaleDB64 of 7235Not among the top eight

QuestDB49 of 725Not among the top eight

Prometheus36 of 720Not among the top eight

ClickHouse Cloud35 of 720Not among the top eight

VictoriaMetrics31 of 7210Not among the top eight

TDengine11 of 720Not among the top eight

PostgreSQL9 of 721Not among the top eight

Thanos9 of 720Not among the top eight

Apache Druid8 of 720Not 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 Amazon Timestream. 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 65 of the 72 answers that named Amazon Timestream and are not a share of its labels.

Domains cited

tigerdata.com57

guideflow.com52

influxdata.com39

questdb.com37

mgsoftware.nl34

viasocket.com30

us.fitgap.com26

aws.amazon.comYour site24

sourceforge.net24

clickhouse.com21

320 of the 344 domain citations in answers naming Amazon Timestream came from somebody else's page.

Pages cited

guideflow.com/blog/time-series-database-software52

tigerdata.com/learn/the-best-time-series-databases-compared47

mgsoftware.nl/en/tools/best-time-series-databases34

questdb.com/blog/best-time-series-databases30

tigerdata.com/learn/best-managed-time-series-databases-in-202627

viasocket.com/discovery/blog/0q7cxp/top-time-series-databases-for-real-time-analytics27

clickhouse.com/resources/engineering/what-is-time-series-database19

influxdata.com/comparison17

Pages are listed as the models cited them.

Search and answers

Where Amazon Timestream stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 320 a month (“amazon timestream”)
AI search demand for its name, est.: 14 a month
Its own site: It sits on Amazon's site (amazon.com), so there are no site figures for it alone

In answers

This edition

Share of first choices

rank 11 of 66 in time series dbs

Segment leader

63%

TimescaleDB

First choices: 3 across its categories
Named in: 72 answers
Its own site cited: in 65 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.

Names read as Amazon Timestream

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

AWS Timestream 2

Follow Amazon Timestream

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

Amazon is the company behind Amazon Timestream.

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On record

Company records

Also from Amazon: Amazon API Gateway, Amazon API Gateway HTTP APIs, Amazon AppStream 2.0, Amazon Athena, Amazon Athena Federated Query, Amazon Aurora, Amazon Aurora Serverless, Amazon Bedrock and 46 more

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 Amazon Timestream'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 Amazon Timestream, 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 Amazon Timestream by email, built from the raw record of the edition. It shows:

where Amazon Timestream 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 Amazon Timestream, 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.