Company lists · Data refreshed September 2026
Top 16 Time series database companies based in the United States
RevenueBase identified 30 time series database companies headquartered in the United States as of September 2026 and tracks 1,617 professional contacts across them, including 770 with verified work emails and 474 with mobile numbers. San Francisco is the largest hub.
This list covers time series database companies headquartered in the United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 6, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 16 largest time series database companies based in the United States
Ranked by team size| # | Company | RevenueBase Smart Search | Contacts | ||
|---|---|---|---|---|---|
| 1 | Indirect evidence | 522 contacts → | |||
“The core of all AI, business intelligence and applications is data, various bits and bytes that come in all different formats.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 2 | Strong evidence | 286 contacts → | |||
“Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 3 | Strong evidence | 155 contacts → | |||
“InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 4 | Indirect evidence | 113 contacts → | |||
“StarTree, powered by Apache Pinot™, is the platform for continuous insights at scale.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 5 | Strong evidence | 105 contacts → | |||
“DolphinDB is dedicated to developing the most powerful and advanced time-series database.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 6 | Strong evidence | 89 contacts → | |||
“TDengine® is an AI-powered data historian that combines a high-performance time-series database with an AI-native industrial data management platform.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 7 | Partial evidence | 58 contacts → | |||
“Kurrent provides an event-native data platform that feeds real-time, business-critical data with historical context in fine-grained streams from origination to destination…” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 8 | Partial evidence | 49 contacts → | |||
“Timescale is addressing one of the largest challenges (and opportunities) in databases for years to come: helping developers, businesses, and society make sense of the data that…” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 9 | Indirect evidence | 47 contacts → | |||
“Simple, reliable, efficient observability!” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 10 | Indirect evidence | 24 contacts → | |||
“Deltix is a software company specializing in solutions for buy- and sell-side customers, ranging from low-latency trading ecosystems to white-label platforms for exchanges and…” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 11 | Strong evidence | 21 contacts → | |||
“PingThings is a software company focused on one problem: helping organizations make full use of the all frequencies of time series data their physical systems already produce.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 12 | Partial evidence | 20 contacts → | |||
“Founded in 2021 and headquartered in Santa Clara, California, Timeplus is a pioneering technology company specializing in real-time analytics and stream processing.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 13 | Partial evidence | 14 contacts → | |||
“GreptimeDB is the open-source Observability 2.0 database, treating metrics, logs, and traces as unified wide events instead of three separate pillars.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 14 | Indirect evidence | 11 contacts → | |||
“DataSet is limitless enterprise infrastructure for live data queries, analytics, insights, and retention.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 15 | Strong evidence | 7 contacts → | |||
“MACHBASE is the fastest time series database, verified by a TPC Certified Auditor (https://bit.ly/3lVH19b).” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
| 16 | Indirect evidence | 2 contacts → | |||
“Shakti is designed to manage streaming, in-memory and historical data in any format.” Source: company website · checked Sep 6, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: time series database companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names time series database companies.
- Partial evidence
- Its own public description names part of time series database companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name time series database companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 16 of 30 time series database companies based in the United States
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Time series database companies based in the United States at a glance
As of Sep 6, 2026Companies by employee count
Freshness & accuracy
How recently the business emails on this list were verified
Email last verified
How this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among time series database companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in the United States whose own description of what they do matches “time series database companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names time series database companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among time series database companies, and records with no verified work email. Companies headquartered outside United States are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 770 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 6, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names time series database companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many time series database companies are there based in the United States?
RevenueBase identified 30 time series database companies headquartered in the United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Singlestore, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most time series database companies?
San Francisco leads with 7 headquartered companies, followed by Mountain View (3) and New York (2).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 770 verified decision-maker contacts tracked across these 30 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 6, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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