Index › IT › Data platform › Time series DBs · November 2026 Edition

Time series databases

Asked as “time series database”, and as “database for metrics and sensor data”, on behalf of a mid-market B2B company. 47 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
64%
Clear leader
64TimescaleDB13InfluxDB11VictoriaMetrics13others

64% of first choices, clear leader.

Since October 2026▲+1Since October 2026: 63% → 64%, +1 point. Inside the 11-point floor: within noise.TimescaleDB held the lead, +1 point on 63%, inside the 11-point floor.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01TimescaleDB64%6%69endorsed leader▲+1Since October 2026: 63% → 64%, +1 point. Inside the 11-point floor: within noise.63% → 64%
02InfluxDB13%25%76criticized challenger▼−3Since October 2026: 16% → 13%, −3 points. Inside the 11-point floor: within noise.16% → 13%
03VictoriaMetrics11%4%57accepted challenger▲+3Since October 2026: 8% → 11%, +3 points. Inside the 11-point floor: within noise.8% → 11%
04QuestDB4%0%38accepted challenger=heldSince October 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise.4% → 4%
05Prometheus2%17%58accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%
Show the five products at 0%, ordered by negative rate
10OpenTSDB0%53%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
08Amazon Timestream0%6%17accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
06ClickHouse Cloud0%2%50accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
07TDengine0%0%15accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
09Thanos0%0%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All ten head-to-head pages: the top five products, each against each

One product takes 64% of first choices here, so the chart would put nine markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Two products carry a negative rate above 25% in this category.

What they warned about

Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Mistral Small, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
InfluxDB
25%
19 of 76 labels negative · 12 of 14 models · 2 hard negative
“avoid InfluxDB 3 Core (OSS) for production unless your use case genuinely fits within 72-hour retention and 5 databases” Claude Haiku 4.5, negative prompt
Prometheus
17%
10 of 58 labels negative · 9 of 14 models
“Prometheus as a primary long-term, large-scale TSDB... be cautious if you need multi-year retention, high availability, or broad analytical queries.” Perplexity Sonar, negative prompt
OpenTSDB
53%
8 of 15 labels negative · 8 of 14 models · 5 hard negative
“Why avoid: Built on top of Hadoop and HBase, OpenTSDB requires a massive infrastructure footprint” Gemini 3.5 Flash, negative prompt
KairosDB
100%
5 of 5 labels negative · 5 of 14 models · 2 hard negative
“Why avoid: An older Cassandra-backed time-series database that has largely been surpassed” Gemini 3.5 Flash, negative prompt

What they cite

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.

Sites the answers cite

67 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 749 links across 154 sites, every framing counted. Ranked by the number of answers carrying the site or page. 53 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.

vendor site · TigerData44 answers · 78 citations · 13 models
vendor site · InfluxData37 answers · 71 citations · 12 models
vendor site · GitHub36 answers · 92 citations · 11 models
20 answers · 23 citations · 8 models
vendor site · QuestDB19 answers · 20 citations · 9 models
vendor site · SourceForge17 answers · 20 citations · 8 models
vendor site · VictoriaMetrics13 answers · 24 citations · 6 models
vendor site · Guideflow13 answers · 13 citations · 7 models
vendor site · InfluxData12 answers · 17 citations · 6 models
vendor site · G212 answers · 17 citations · 8 models
vendor site · VictoriaMetrics12 answers · 13 citations · 6 models
vendor site · Prometheus11 answers · 12 citations · 5 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best time series database”, “time series database”, “time series databases”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
TimescaleDB tigerdata.com64%1753,60014723,549$658272
InfluxDB influxdata.com
InfluxDB 13%, InfluxData 0%
13%1774,40035046,684443
VictoriaMetrics victoriametrics.com11%1321,300524,09706
QuestDB questdb.com4%106880614,28924
PostgreSQL postgresql.org
PostgreSQL with TimescaleDB 4%
4%1174,00014,143465,585 company
Prometheus prometheus.io2%280246,00011,81922,996
TimescaleDB, now marketed as Tiger Cloud / TigerData2%
ClickHouse Cloud clickhouse.com0%1681,0001543,80547
TDengine tdengine.com0%3339041,59225
Amazon parent site
Amazon Timestream 0%
0%54151,000,0001,380,939

Google's top ten for the three searches hold 24 sites; 5 of them are among the sites the models cited here (db-engines.com, influxdata.com, questdb.com, tigerdata.com, victoriametrics.com). The first result for “best time series database” is reddit.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
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ModelDirect“What is the best time series database for a mid-market B2B company?”Paraphrase“Which database for metrics and sensor data would you recommend to a mid-sized B2B company?”Comparative“What are the top time series databases and how do they differ?”Budget-constrained“What is the best time series database for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a time series database. What should we look at?”Negative“Which time series databases should I avoid or be cautious about?”
Claude Haiku 4.5no first choice
Four alternativesInfluxDB, QuestDB, TimescaleDB, VictoriaMetrics
TimescaleDBChanged
Three alternativesClickHouse Cloud, InfluxDB, VictoriaMetrics
InfluxDB
Five alternativesClickHouse Cloud, QuestDB, TDengine, TimescaleDB, VictoriaMetrics
InfluxDB, TimescaleDB
Three alternativesPrometheus, QuestDB, VictoriaMetrics
no first choiceagainst: ClickHouse Cloud, InfluxDB, OpenTSDB, Prometheus, TimescaleDB, VictoriaMetrics
GPT-5.4 miniTimescaleDB
Four alternativesAmazon Timestream, ClickHouse Cloud, InfluxDB, VictoriaMetrics
InfluxDBChanged
Two alternativesClickHouse Cloud, TimescaleDB
InfluxDB, TimescaleDB
Three alternativesClickHouse Cloud, Prometheus, QuestDB
Prometheus
Two alternativesInfluxDB 3 Core, VictoriaMetrics
no first choiceagainst: InfluxDB, Prometheus
Gemini 3.5 FlashTimescaleDB
Four alternativesClickHouse Cloud, InfluxDB, QuestDB, VictoriaMetrics
against: Flux
TimescaleDBHeld
Two alternativesClickHouse Cloud, VictoriaMetrics
against: InfluxDB
no first choice
Six alternativesClickHouse Cloud, InfluxDB, Prometheus, QuestDB, TimescaleDB, VictoriaMetrics
against: kdb+
TimescaleDB, VictoriaMetrics
Two alternativesClickHouse Cloud, QuestDB
no first choiceagainst: Amazon DynamoDB, Apache Cassandra, Elasticsearch, InfluxDB, KairosDB, OpenSearch, OpenTSDB, Prometheus, ScyllaDB, TimescaleDB, Whisper / RRDtool
Perplexity SonarTimescaleDB
Five alternativesAmazon Timestream, ClickHouse Cloud, InfluxDB, Prometheus, VictoriaMetrics
TimescaleDBHeld
Five alternativesClickHouse Cloud, InfluxDB, SQLite, TDengine, VictoriaMetrics
TimescaleDB
Five alternativesClickHouse Cloud, InfluxDB, Prometheus, QuestDB, VictoriaMetrics
TimescaleDB
Five alternativesInfluxDB OSS, Prometheus, QuestDB, TDengine, VictoriaMetrics
against: InfluxDB
no first choice
Two alternativesPostgreSQL, Prometheus
against: Graphite, InfluxDB, MySQL, OpenTSDB, PostgreSQL, Prometheus
Grok 4.20TimescaleDB
Three alternativesClickHouse Cloud, InfluxDB, VictoriaMetrics
against: kdb+
TimescaleDBHeld
Five alternativesAmazon Timestream, Azure Data Explorer, ClickHouse Cloud, InfluxDB, Prometheus
InfluxDB
Eight alternativesAmazon Timestream, Apache Druid, ClickHouse Cloud, Prometheus, QuestDB, TDengine, TimescaleDB, VictoriaMetrics
against: Apache Cassandra
TimescaleDB
Five alternativesClickHouse Cloud, InfluxDB, QuestDB, TDengine, VictoriaMetrics
against: kdb+
InfluxDB
Five alternativesApache Druid, ClickHouse Cloud, Prometheus, TimescaleDB, VictoriaMetrics
against: Amazon Timestream, Apache Cassandra, CrateDB, Elasticsearch, InfluxDB, PostgreSQL, Prometheus, RRDtool, Redis, Whisper
Mistral SmallTimescaleDB
Three alternativesAmazon Timestream, InfluxDB, VictoriaMetrics
InfluxDB, TimescaleDBChanged
Three alternativesClickHouse Cloud, Prometheus, Thanos
against: MongoDB with Time Series Collections
InfluxDB
Five alternativesClickHouse Cloud, Prometheus, QuestDB, TDengine, TimescaleDB
TimescaleDB
Two alternativesInfluxDB, QuestDB
TimescaleDB
Six alternativesAmazon Timestream, InfluxDB, M3DB, Prometheus, QuestDB, VictoriaMetrics
against: Google BigQuery
against: InfluxDB, MySQL, PostgreSQL
DeepSeek V4 FlashTimescaleDB
Three alternativesClickHouse Cloud, InfluxDB, VictoriaMetrics
TimescaleDBHeld
Two alternativesInfluxDB, VictoriaMetrics
InfluxDB
Seven alternativesAmazon Timestream, ClickHouse Cloud, Prometheus, QuestDB, TDengine, TimescaleDB, VictoriaMetrics
VictoriaMetrics
Two alternativesPrometheus, TimescaleDB
against: InfluxDB, Timescale Cloud
no first choice
Four alternativesApache IoTDB, TDengine, TimescaleDB, VictoriaMetrics
against: InfluxDB, KX, Prometheus
against: Graphite, InfluxDB, KairosDB, OpenTSDB, Prometheus
Llama 4 MaverickTimescaleDB
Three alternativesInfluxDB, QuestDB, VictoriaMetrics
no first choiceChangedno first choiceTimescaleDB
Three alternativesInfluxDB, QuestDB, VictoriaMetrics
no first choicenothing named
Qwen 3.7 FlashTimescaleDB
Three alternativesInfluxDB, Prometheus, QuestDB
TimescaleDBHeld
Two alternativesClickHouse Cloud, InfluxDB
against: MySQL, PostgreSQL
no first choice
Four alternativesInfluxDB, Prometheus, QuestDB, TimescaleDB
TimescaleDB
Three alternativesPrometheus, TDengine, VictoriaMetrics
against: InfluxDB OSS
no first choice
Seven alternativesDatadog, Dynatrace, New Relic, Prometheus, QuestDB, TimescaleDB, VictoriaMetrics
against: CrateDB, Elasticsearch, InfluxDB, OpenTSDB, Prometheus, TimescaleDB, kdb+
Kimi K2InfluxDB
Two alternativesTimescaleDB, VictoriaMetrics
TimescaleDBChanged
One alternativeInfluxDB
InfluxDB
Five alternativesClickHouse Cloud, Prometheus, QuestDB, TimescaleDB, VictoriaMetrics
VictoriaMetrics
One alternativeTimescaleDB
against: InfluxDB 3 Core
VictoriaMetrics
Three alternativesClickHouse Cloud, Grafana Mimir, TimescaleDB
against: Mimir
against: AWS Timestream for LiveAnalytics, Blueflood, Heroic, InfluxDB 2.x / Flux, KairosDB, OpenTSDB, QuestDB Cloud
GLM 4.7 FlashXTimescaleDB
Four alternativesAmazon Timestream, Azure Data Explorer, InfluxDB, VictoriaMetrics
InfluxDBChanged
Two alternativesClickHouse Cloud, TimescaleDB
no first choiceno first choiceno first choiceagainst: Chronograf, InfluxDB, KairosDB, LinDB, OpenTSDB
MiniMax M2.5TimescaleDB
Three alternativesAmazon Timestream, InfluxDB, VictoriaMetrics
TimescaleDBHeld
Two alternativesClickHouse Cloud, InfluxDB
no first choiceQuestDB, TimescaleDB
Two alternativesApache IoTDB, VictoriaMetrics
against: InfluxDB
no first choiceagainst: Graphite, InfluxDB, OpenTSDB, TimescaleDB
GPT-6 LunaTimescaleDB
Two alternativesClickHouse Cloud, InfluxDB
PostgreSQL with TimescaleDBChanged
Three alternativesClickHouse Cloud, InfluxDB, Prometheus
no first choice
Seven alternativesApache IoTDB, ClickHouse Cloud, InfluxDB, Prometheus, QuestDB, TimescaleDB, VictoriaMetrics
PostgreSQL with TimescaleDB
One alternativeVictoriaMetrics
no first choice
Three alternativesClickHouse Cloud, Prometheus, QuestDB
against: Amazon Timestream for LiveAnalytics, InfluxDB
against: InfluxDB, InfluxDB 1.x or 2.x, Prometheus, VictoriaMetrics
Muse Glimmer 30BTimescaleDB, now marketed as Tiger Cloud / TigerData
Two alternativesClickHouse Cloud, InfluxDB
TimescaleDBChanged
Three alternativesClickHouse Cloud, InfluxDB, InfluxData
against: Prometheus
no first choice
Seven alternativesClickHouse Cloud, InfluxDB, Prometheus, QuestDB, TimescaleDB, VictoriaMetrics, kdb+
QuestDB, VictoriaMetrics
Two alternativesInfluxDB, TimescaleDB
no first choiceagainst: Amazon Timestream for LiveAnalytics, Chronix, Graphite, InfluxDB, KairosDB, OpenNMS Newts / Cassandra backend, TimescaleDB extension on PostgreSQL 17+, abhot – KairosDB fork
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 16:28yes99 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:18no04 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:58yes1126 s
Direct recommendationPerplexity Sonarsonar2026-11-01 09:57yes103 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 15:26yes1513 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 09:28yes54 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 17:21yes2063 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 14:20yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 13:22no034 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 13:22yes1725 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 15:24yes1547 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 19:31yes1035 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 18:09yes314 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:18yes1418 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 17:43yes1811 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:27yes45 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 08:44no015 s
ParaphrasePerplexity Sonarsonar2026-11-01 16:33yes104 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 18:23yes511 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 09:08no03 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:46yes1929 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:15yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 12:52yes529 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 08:47yes2125 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 08:47yes1443 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:22yes551 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 12:44yes315 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:15yes1523 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 17:12yes99 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:20yes58 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 16:21no020 s
ComparativePerplexity Sonarsonar2026-11-01 15:56yes106 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 19:19yes516 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 11:09yes57 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 15:22yes1843 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 14:21yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:03no030 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 17:46yes1557 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 13:59no0108 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:14yes1026 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 09:43yes721 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:11yes1525 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 16:37no05 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:23yes35 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 11:09yes1125 s
Budget constrainedPerplexity Sonarsonar2026-11-01 15:14yes103 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 15:36yes814 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 19:41yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:33yes1425 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 13:12yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 09:56no028 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 17:37yes2526 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 15:42yes1379 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 12:49yes939 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 13:24yes210 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 10:25yes2230 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 10:08no05 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 17:05no08 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 19:10yes1128 s
Scale constrainedPerplexity Sonarsonar2026-11-01 12:53yes107 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 19:08yes514 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 09:57no011 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 19:18yes2541 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:35yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 18:19no035 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:45yes1952 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 14:16no057 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 09:26no033 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 17:18yes520 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 09:33no04 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:39yes1510 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 14:59yes55 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 18:30yes1025 s
Negative framingPerplexity Sonarsonar2026-11-01 12:46yes104 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 19:05yes1511 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 17:44yes56 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:12yes2334 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 12:58yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 15:53no033 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 12:03yes2445 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 14:43yes25149 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:45yes2542 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 15:59yes311 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 15:40yes1523 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

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Category-scoped readings
AWS Timestream read as Amazon Timestream
Unresolved, counted raw
AWS Timestream for LiveAnalytics
Blueflood
Chronix
Chronograf
GCP Memorystore
Hadoop
Heroic
InfluxDB 2.x / Flux
InfluxDB 3.x
InfluxDB IOx/3.0
IoTDB
LinDB
MongoDB with Time Series Collections
OpenNMS Newts / Cassandra backend
QuestDB Cloud (managed SaaS)
TimescaleDB extension on PostgreSQL 17+
TimescaleDB → Tiger Data
TimescaleDB, now marketed as Tiger Cloud / TigerData
Whisper (Graphite)
Whisper / RRDtool (Graphite ecosystem)
abhot – KairosDB fork
Discontinued, still offered
No shut-down product was recommended here.
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