Entity
  • Timescale

    Created in 2015
  • BETA

    Up & running (A)
    Existing signals show a regular activity
  • Social networks

    7,282 1,725 9,055
  • Activities

  • Technologies

  • Entity types

  • Location

    335 Madison Ave Floor 5, Suite E, New York, NY 10017, USA

    New York

    United States of America

  • Employees

    Scale: 51-200

    Estimated: 130

  • Engaged corporates

    3
    1 15
  • Added in Motherbase

    1 year, 2 months ago
Description
  • Value proposition

    Timescale is the modern cloud platform built on PostgreSQL for time series, events, and analytics.

    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 humans and their machines are generating in copious amounts.

    TimescaleDB is the only open-source time-series database that natively supports full-SQL, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL systems. It is built on PostgreSQL and optimized for fast ingest and complex queries. TimescaleDB is deployed for powering mission-critical applications, including industrial data analysis, complex monitoring systems, operational data warehousing, financial risk management, and geospatial asset tracking across industries as varied as manufacturing, space, utilities, oil & gas, logistics, mining, ad tech, finance, telecom, and more.

    Timescale is backed by NEA, Benchmark, Icon Ventures, Redpoint Ventures, Two Sigma Ventures, and Tiger Global.

    Documentation: https://docs.timescale.com
    GitHub: https://github.com/timescale/timescaledb
    Twitter: https://twitter.com/timescaledb

    RDBMS, OpenTelemetry, Observability, Promscale, Technology, PostgreSQL, SQL, Data Historian, Geospatial Data, Time-Series Data, Databases, IoT, Sensor Data, Metrics, Developer Community, Software Development, Open Source, Software, and Data Management

  • PostgreSQL ++ for time series and events | Timescale

    Engineered to handle demanding workloads, like time series, vector, events, and analytics data. Built on PostgreSQL, with expert support at no extra charge.

  • https://www.timescale.com/
Corporate interactions BETA
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