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OneTick

#34 of 36 in Time-Series Databases

OneTick: A specialized platform for capturing, replaying, analyzing, and querying market tick data. Ranked #34 of 36 in Time-Series Databases by our editors (6.0/10); pricing: Pricing on request · 30-day trial; best for financial tick data and market analytics.

6.0/10Editor score
OneTick6.0 Visit OneTick

At a glance

  • Editor score
    6.0 / 10
  • Pricing
    Pricing on request · 30-day trial
  • Best for
    Financial tick data and market analytics
  • Free plan
    No
  • Deployment
    Both
  • Founded
    2005 · Hoboken, New Jersey, United States
  • Facts checked
    22 Sep 2026
OneTick screenshot
  • Where it wins

    • Captures, stores, archives, and retrieves real-time and historical tick data
    • Combines replay, back-testing, streaming analytics, and event processing
    • Supports SQL, Python, REST, dashboards, alerts, and on-premises or cloud deployment
  • Where it doesn't

    • Pricing uses a contact-sales model rather than self-serve purchase
    • Its primary focus is financial-market data, not general-purpose time-series workloads
    • Teams may need to support SQL, Python, and a directed-graph query language

Our verdict on OneTick

OneTick is a time-series data management and analytics platform for financial institutions such as hedge funds, banks, brokerages, exchanges, and market makers. It is designed for real-time, intraday, and historical tick data, covering capture, storage, archival, retrieval, streaming analytics, event processing, market-data replay, back-testing, transaction-cost analysis, surveillance, and dashboards. Financial teams that need market-data research, monitoring, or analysis in one environment are the clearest fit.

Its strongest area is the depth of its market-data workflow. OneTick supports order-book replay and depth analysis, historical replay, configurable alert workflows, machine-learning event processors, and visual dashboards for both historical and real-time queries. Data can be ingested through FIX, Kafka, AMQP, and proprietary market-data feeds. Query access spans SQL, Python, REST, client tools, a graphical query designer, and the OneTick directed-graph query language, giving quantitative and engineering teams several ways to work with the platform.

Deployment flexibility is another practical consideration: OneTick supports web, Windows, API, and self-hosted access, with on-premises or cloud deployment options. The pricing model is contact sales, so organizations should expect a sales-led buying process rather than self-serve checkout. OneTick is a strong choice for market participants centered on tick-data capture, replay, back-testing, streaming analytics, alerts, and financial dashboards. Teams seeking a simpler time-series database for broader non-financial workloads, or a straightforward self-serve purchase path, should consider a more narrowly scoped alternative.

OneTick pricing

Plans Pricing on request · 30-day trial No free plan — trial or paid only. Prices checked 22 Sep 2026.
See plans on onetick.com

OneTick fact sheet

Free planNo
Paid fromNot verified
DeploymentBoth
SQL supportYes
Retention policiesNot verified
Horizontal scalingNot verified
Query languagesOneTick SQL, Python
Ingestion methodsTick data collection
Free trial30 days
DeploymentCloud, Self-hosted
PlatformsWeb, Windows, Linux
Compliance & securityGDPR
SupportPhone, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations5 integrations: REST API, Python, SQL, Arrow Flight, JupyterLab
PricingPricing on request · 30-day trial
Websiteonetick.com
Facts checked22 Sep 2026

OneTick integrations

OneTick lists 5 integrations on its own site.

  • REST API
  • Python
  • SQL
  • Arrow Flight
  • JupyterLab

Alternatives to OneTick

See all OneTick alternatives →

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Featured on iTechGuides

Featured on iTechGuides — OneTick 6.0/10

OneTick is listed in our Time-Series Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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