AI Indexes
IT AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › Data platform › Time series DBs › Small business › October 2026 Edition

Time series databases for small business buyers

Asked as “time series database”, and as “database for metrics and sensor data”, on behalf of a small B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
57%
Clear leader
57TimescaleDB11InfluxDB08PostgreSQL with TimescaleDB25others

57% of first choices, clear leader.

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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01TimescaleDB57%6%69endorsed leader
02InfluxDB11%16%68accepted challenger
03QuestDB6%6%53accepted challenger
04VictoriaMetrics4%0%32accepted challenger
05PostgreSQL4%18%22accepted challenger
06Prometheus2%22%40accepted challenger
07Amazon Timestream2%17%18accepted challenger
Show the two products at 0%, ordered by negative rate
08ClickHouse Cloud0%34%29criticized challenger
09TDengine0%27%11criticized challenger
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 fifteen head-to-head pages: the top six products, each against each

One product takes 57% of first choices here, so the chart would put eight 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

Nine of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, 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
16%
11 of 68 labels negative · 9 of 14 models · 3 hard negative
“Usage-based pricing starts cheap but escalates quickly with data volume... users report it becoming "hard to justify"” Grok 4.1 Fast, negative prompt
Apache Cassandra
100%
9 of 9 labels negative · 8 of 14 models · 4 hard negative
“Highly Distributed/Enterprise TSDBs like Apache Cassandra... overkill ops burden (multi-node clusters, tuning) for SMBs” Grok 4.1 Fast, negative prompt
ClickHouse Cloud
34%
10 of 29 labels negative · 7 of 14 models · 2 hard negative
“Databases to Avoid for Small Businesses **ClickHouse** ... operational complexity that grows with scale” Claude Haiku 4.5, negative prompt
OpenTSDB
88%
7 of 8 labels negative · 6 of 14 models · 5 hard negative
“Highly Distributed/Enterprise TSDBs like Apache Cassandra, OpenTSDB, or KairosDB: overkill ops burden” Grok 4.1 Fast, negative prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

72 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. 882 links across 147 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.

vendor site · TigerData55 answers · 103 citations · 12 models
vendor site · Guideflow51 answers · 52 citations · 12 models
vendor site · QuestDB43 answers · 49 citations · 14 models
vendor site · InfluxData34 answers · 63 citations · 12 models
vendor site · FitGap32 answers · 40 citations · 11 models
28 answers · 28 citations · 9 models
vendor site · SourceForge24 answers · 35 citations · 11 models
vendor site · G220 answers · 32 citations · 11 models
20 answers · 26 citations · 11 models
19 answers · 22 citations · 10 models
19 answers · 19 citations · 10 models
vendor site · CrateDB14 answers · 14 citations · 8 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.com57%1833,60014723,549$658272
InfluxDB influxdata.com11%1764,40035046,684443
PostgreSQL postgresql.org
PostgreSQL with TimescaleDB 8%, PostgreSQL 4%
11%8274,00014,143465,585 company
QuestDB questdb.com6%142880614,28924
VictoriaMetrics victoriametrics.com4%1071,300524,09706
Prometheus prometheus.io2%257246,00011,81922,996
Amazon parent site
Amazon Timestream 2%
2%65151,000,0001,380,939
InfluxDB 3 Core2%907
InfluxDB Open Source2%
TimescaleDB Cloud2%

Google's top ten for the three searches hold 24 sites; 4 of them are among the sites the models cited here (cratedb.com, influxdata.com, questdb.com, tigerdata.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.
ShowHide
ModelDirect“What is the best time series database for a small B2B company?”Paraphrase“Which database for metrics and sensor data would you recommend to a small business that sells to other businesses?”Comparative“What are the top time series databases for a small team and how do they differ?”Budget-constrained“What is the best time series database for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a time series database. What should we look at?”Negative“Which time series databases should a small business avoid or be cautious about?”
Claude Haiku 4.5InfluxDB, TimescaleDB
One alternativeTDengine
InfluxDBChanged
Two alternativesTDengine, TimescaleDB
InfluxDB, TimescaleDB
Three alternativesClickHouse Cloud, Prometheus, QuestDB
InfluxDB Open Source, TimescaleDB
One alternativePrometheus
no first choiceagainst: Apache Druid, ClickHouse Cloud, Prometheus, kdb+
GPT-5.4 miniPostgreSQL with TimescaleDB
Two alternativesClickHouse Cloud, InfluxDB
InfluxDB 3 CoreChanged
Three alternativesClickHouse Cloud, InfluxDB 3 Enterprise, PostgreSQL
TimescaleDB
Four alternativesClickHouse Cloud, InfluxDB, QuestDB, VictoriaMetrics
Prometheus
Two alternativesGrafana, InfluxDB
no first choiceagainst: Prometheus, TimescaleDB
Gemini 3.5 FlashTimescaleDB
Three alternativesClickHouse Cloud, InfluxDB, VictoriaMetrics
TimescaleDBHeld
Two alternativesInfluxDB, VictoriaMetrics
TimescaleDB
Three alternativesInfluxDB, QuestDB, VictoriaMetrics
TimescaleDB
Two alternativesQuestDB, VictoriaMetrics
TimescaleDB
Three alternativesClickHouse Cloud, InfluxDB, VictoriaMetrics
against: Apache Cassandra
against: Amazon Timestream, Apache Cassandra, Apache Druid, Apache Pinot, ClickHouse Cloud, Grafana Mimir, InfluxDB, OpenTSDB, Palo Alto Networks Cortex Cloud, ScyllaDB, Thanos
Perplexity SonarPostgreSQL with TimescaleDB
Two alternativesInfluxDB, QuestDB
PostgreSQL with TimescaleDBHeld
Two alternativesInfluxDB, TDengine
InfluxDB
Five alternativesAmazon Timestream, ClickHouse Cloud, PostgreSQL, QuestDB, TimescaleDB
PostgreSQL, TimescaleDB
One alternativeInfluxDB
no first choiceagainst: Apache Cassandra, Apache Druid, ClickHouse Cloud, InfluxDB, MongoDB, MySQL, PostgreSQL
Grok 4.1 FastTimescaleDB
Four alternativesInfluxDB, Prometheus, QuestDB, VictoriaMetrics
against: ClickHouse Cloud
TimescaleDBHeld
Four alternativesInfluxDB, Prometheus, QuestDB, VictoriaMetrics
InfluxDB, Prometheus
Three alternativesClickHouse Cloud, QuestDB, TimescaleDB
VictoriaMetrics
Three alternativesInfluxDB, Prometheus, TimescaleDB
against: ClickHouse Cloud
InfluxDB, TimescaleDB Cloud
Three alternativesAmazon Timestream, ClickHouse Cloud, QuestDB
against: Apache Cassandra, CrateDB, InfluxDB, KairosDB, MySQL, OpenTSDB, Oracle, PostgreSQL, TigerData
Mistral SmallTimescaleDB
One alternativePostgreSQL
against: QuestDB
TimescaleDBHeld
Three alternativesInfluxDB, PostgreSQL, Prometheus + Grafana
against: MongoDB
InfluxDB, TimescaleDB
Three alternativesPrometheus, QuestDB, VictoriaMetrics
against: TDengine
TimescaleDB
Two alternativesInfluxDB, VictoriaMetrics
TimescaleDB
Five alternativesInfluxDB, M3DB, Prometheus, QuestDB, VictoriaMetrics
against: Amazon DynamoDB, Apache Cassandra, InfluxDB, MongoDB, MySQL, Oracle, PostgreSQL, TDengine
DeepSeek V4 FlashTimescaleDB
One alternativeInfluxDB
against: QuestDB
TimescaleDBHeld
Two alternativesInfluxDB, plain PostgreSQL
TimescaleDB
Three alternativesInfluxDB, Prometheus, QuestDB
against: ClickHouse Cloud
TimescaleDB
Four alternativesInfluxDB, Prometheus, QuestDB, VictoriaMetrics
PostgreSQL
Three alternativesQuestDB, TimescaleDB, VictoriaMetrics
against: InfluxDB
against: Apache Cassandra, Apache Druid, ClickHouse Cloud, Graphite, InfluxDB, OpenTSDB
Llama 4 Maverickno first choiceno first choiceHeldno first choiceQuestDB
Two alternativesPostgreSQL, TimescaleDB
no first choiceagainst: Amazon DynamoDB, Apache Cassandra, MongoDB, MySQL, Oracle
Qwen 3.7 FlashTimescaleDB
Four alternativesAmazon Timestream, Azure Time Series Insights, InfluxDB, Prometheus
TimescaleDBHeld
Two alternativesInfluxDB, QuestDB
against: MongoDB, MySQL
TimescaleDB
Four alternativesInfluxDB, Prometheus, QuestDB, VictoriaMetrics
QuestDB
Two alternativesTimescaleDB, VictoriaMetrics
against: InfluxDB v3 Core, TDengine
TimescaleDB
Three alternativesInfluxDB, QuestDB, VictoriaMetrics
against: Prometheus
against: Apache Cassandra, Apache Druid, Chronosphere, InfluxDB, Kylin, OpenTSDB, Prometheus, RethinkDB, ScyllaDB
Kimi K2TimescaleDB
Six alternativesClickHouse Cloud, InfluxDB, PostgreSQL, Prometheus, QuestDB, SQLite
TimescaleDBHeld
One alternativeInfluxDB
TimescaleDB
Two alternativesInfluxDB, QuestDB
against: Prometheus
VictoriaMetrics
Two alternativesQuestDB, TimescaleDB
against: InfluxDB, Prometheus
TimescaleDB
Three alternativesInfluxDB, Prometheus, QuestDB
against: Amazon Timestream, ClickHouse Cloud, InfluxDB, Prometheus, Tiger Cloud, TimescaleDB
GLM 4.7 FlashXInfluxDB
Three alternativesPrometheus, TimescaleDB, VictoriaMetrics
TimescaleDBChanged
Three alternativesClickHouse Cloud, InfluxDB, MongoDB with Time-Series Collection
Prometheus, VictoriaMetrics
Four alternativesInfluxDB, PostgreSQL, QuestDB, TimescaleDB
against: OpenTSDB
TimescaleDB
Five alternativesFreeTSDB, InfluxDB, Prometheus, QuestDB, VictoriaMetrics
InfluxDB
Four alternativesApache IoTDB, Prometheus, QuestDB, TimescaleDB
against: Apache Cassandra, Graphite, InfluxDB, MongoDB, OpenTSDB, Standard MySQL / PostgreSQL, TimescaleDB
MiniMax M2.5TimescaleDB
Two alternativesAmazon Timestream, InfluxDB
against: QuestDB
TimescaleDBHeld
Two alternativesInfluxDB, Traditional PostgreSQL
InfluxDB, TimescaleDB
Three alternativesClickHouse Cloud, QuestDB, VictoriaMetrics
InfluxDB
Two alternativesPrometheus + Grafana, TimescaleDB
no first choiceagainst: Amazon Timestream, TimescaleDB
GPT-6 LunaTimescaleDB
Two alternativesInfluxDB, PostgreSQL
against: ClickHouse Cloud
PostgreSQL with TimescaleDBChanged
One alternativeInfluxDB
TimescaleDB
Four alternativesInfluxDB, Prometheus, QuestDB, VictoriaMetrics
against: ClickHouse Cloud
TimescaleDB
Two alternativesInfluxDB 3 Core, VictoriaMetrics single-node
no first choice
Five alternativesClickHouse Cloud, InfluxDB, Prometheus, QuestDB, Timescale Cloud
against: Graphite, InfluxDB 1.x or 2.x, InfluxDB 3 Core, OpenTSDB, Prometheus
Muse Glimmer 30BAmazon Timestream, TimescaleDB
One alternativeQuestDB
TimescaleDBChanged
One alternativeInfluxDB
InfluxDB, QuestDB, TimescaleDB
Two alternativesClickHouse Cloud, Prometheus
QuestDB, TimescaleDB Community Edition
Two alternativesInfluxDB 3 Core, VictoriaMetrics
no first choice
Five alternativesAmazon Timestream, InfluxDB, QuestDB, TDengine, TimescaleDB
against: MySQL, PostgreSQL, Prometheus
against: InfluxDB
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. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 01:21yes97 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:03yes36 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-05 01:42yes1328 s
Direct recommendationPerplexity Sonarsonar2026-10-04 22:52yes163 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:26yes2310 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-05 01:21yes54 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 01:19yes1735 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 01:05yes52 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 01:49yes523 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-05 01:49yes533 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 23:24yes1486 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 22:18yes513 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-05 00:58yes318 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 01:36yes1014 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 01:34yes98 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 01:28yes48 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-04 22:39yes1227 s
ParaphrasePerplexity Sonarsonar2026-10-05 00:02yes184 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:06yes1910 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-04 22:09no04 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:33yes1635 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:42yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 23:39no022 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-05 01:00yes2433 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:51no011 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 23:50yes523 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-04 23:50yes212 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 01:49yes1321 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:52yes1610 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:00yes78 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:14yes1328 s
ComparativePerplexity Sonarsonar2026-10-05 00:54yes154 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:17yes1911 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-05 00:13yes1012 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 23:03yes1741 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:19yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:58yes923 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-05 00:25yes2332 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-04 23:58yes18140 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 00:23yes1119 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-04 23:48yes617 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 01:31yes1120 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:00no05 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:42yes35 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-05 01:46yes1025 s
Budget constrainedPerplexity Sonarsonar2026-10-05 01:12yes143 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:12yes2011 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-05 01:48yes147 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 01:16yes2036 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:21yes54 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 01:01yes522 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:43yes1722 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:27yes1653 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 00:16no08 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-04 22:35yes39 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 01:32yes1323 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:28no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:48no05 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:07no016 s
Scale constrainedPerplexity Sonarsonar2026-10-04 22:17yes154 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 22:34yes149 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-05 01:25no08 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:19yes2242 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 01:48yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 01:56no032 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-05 01:06yes1745 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 01:17yes1238 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 00:55no032 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-04 23:50yes620 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 23:25yes1318 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 01:37yes178 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 22:34yes48 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:29yes1830 s
Negative framingPerplexity Sonarsonar2026-10-05 00:06yes207 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:18yes1710 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-05 01:31yes109 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:25yes2171 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:54yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 23:59no029 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-05 00:16yes2224 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 01:16yes2248 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 01:51yes1752 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-05 01:50yes416 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:47yes2135 s

Normalization in this category

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

ShowHide
Category-scoped readings
AWS Timestream read as Amazon Timestream
Unresolved, counted raw
FreeTSDB
InfluxDB Core
InfluxDB Open Source
InfluxDB v3 Core
Kylin
MongoDB with Time-Series Collection
Self-hosted InfluxDB OSS
Standard MySQL / PostgreSQL
TimescaleDB Cloud
TimescaleDB Community Edition
Traditional PostgreSQL
VictoriaMetrics single-node
plain PostgreSQL
Discontinued, still offered
No shut-down product was recommended here.
← StreamingVector databases →