Time Series Startups funded by Y Combinator (YC) 2026

April 2026

Browse 3 of the top Time Series startups funded by Y Combinator.

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  • QuestDB
    QuestDB
    Y Combinator LogoS2020
    Active • 30 employees • London, UK
    QuestDB is a high-performance, open-source database for time series data. It focuses on fast ingest, blazingly fast queries and superior developer experience with SQL and open formats. QuestDB is designed from the ground up to operate as close to the hardware as possible -- eliminating ingestion bottlenecks and lowering overall hardware requirements. QuestDB powers the infrastructure for companies in Financial Services, Crypto/Web3, Space Exploration, and Energy/Renewables.
    developer-tools
    analytics
    open-source
    time-series
  • InfluxData
    InfluxData
    Y Combinator LogoW2013
    Active • 210 employees • San Francisco, CA, USA
    InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData customers include Autodesk, Cisco, eBay, and Coupa. Visit https://www.influxdata.com.
    analytics
    open-source
    time-series
    databases
  • PipelineDB
    Y Combinator LogoW2014
    Acquired • 2 employees • Los Angeles, CA, USA
    PipelineDB is an open-source PostgreSQL extension that enables realtime reporting use cases by continuously aggregating large streams of time series data down into summary data. It shines the most at larger scales, where storing lots of raw time-series data and aggregating it over and over again becomes inefficient. The amount of value that PipelineDB adds is directly proportional to the amount of continuous aggregation that an analytics use case can benefit from. PipelineDB should be used for analytics use cases that only require summary data, like realtime reporting dashboards. PipelineDB is not a good fit for exploratory analytics on siloed datasets.
    open-source
    time-series