• Products & Services

    Timescale Cloud

    A reliable PostgreSQL cloud for your workloads

    Support Services

    Support options for your use case, infrastructure, and budget

    Workloads

    Time Series

    Lightning-fast ingest and querying on PostgreSQL

    Real-Time Analytics

    The fastest real-time analytics on PostgreSQL

    AI and Vector

    Build RAG, search, and Al agents, all on PostgreSQL

    Open-Source Extensions and Tools

    Time Series and Real-Time Analytics

    A reliable PostgreSQL cloud for your workloads

    AI and Vector

    Security Scanner

    Security, reliability, and support for demanding businesses.

  • Documentation

    Timescale Docs

    Learn how to make PostgreSQL faster with our documentation

    AI and Vector

    Learn how to use PostgreSQL for Al with our documentation

    Learn PostgreSQL

    Learn PostgreSQL

    Learn the PostgreSQL basics and scale your database performance

    Timescale Benchmarks

    Timescale benchmarks

    See how Timescale performs against the competition

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Sensor data on AWS

Compared to Amazon RDS, Timescale Cloud is purpose built for massive streams of sensor data, helping you scale further, uncover insights faster, and focus more on end-user value.

Scale further

Store billions of rows of sensor data in a platform purpose-built for time-series data.

  • Achieve high, stable ingest rates, thanks to custom indexing and automatic partitioning.

  • Store high-volume and high cardinality data with ease.

  • Store data only for the time you need with fine-grained data retention policies.

Scale Further
Uncover Insights Faster

Uncover insights faster

Built-in analytical capabilities to help you gain critical insights from sensor data.

  • Quickly analyze real-time or historical sensor data with time-series SQL functions.

  • Millisecond response times for complex aggregate queries (e.g. querying devices by region, by type, by property, etc.) with continuous aggregates.

  • Power faster dashboards to save time and reduce friction for end-users.

Anybody can collect data points and put a line graph on a screen. That’s a solved problem. Your challenge is to develop all the context around the data, analyze it in that context, and present it to your users in the language and concepts they already know. Timescale can help you do that, by giving you more time to focus on end-user value, and less time focusing on things like ‘Can I connect tool x to my store?’ or ‘How am I going to scale this thing?

Nathan McMinn, CTO and co-founder at Conserv

Conserv is an preventative conservation platform that uses sensors to monitor risk factors and protect historical artifacts.

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