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Timescale

United States
New York
2015
Private
< $10m
11 - 50
Open website
TimescaleDB is an open-source time-series database optimized for fast ingest and complex queries, available on GitHub under the Apache 2 license.

TimescaleDB is engineered up from PostgreSQL (packaged as an extension) and yet scales to 100+ billion rows even on a single server. It natively supports standard SQL and the features you expect from a relational database. The company's team includes top researchers and industry veterans with experience building scalable systems at a variety of large and small companies. TimescaleDB is backed by top tier investors with a track record of success in the industry.
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TimescaleDB provides the best possible experience when working with time-series data with the power and convenience of SQL. Built on PostgreSQL and proven for mission critical workloads in the most demanding environments, TimescaleDB provides a familiar operational experience and works with any tool in the rich and vibrant PostgreSQL ecosystem.

Because of these characteristics and built-in time-series analytical features, TimescaleDB increases developer productivity and optimizes resource efficiency, all while minimizing operational costs. And now with distributed operation across many servers, TimescaleDB scales to your ingest, query, and storage needs.
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Timescale is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, and cybersecurity and privacy technologies.
Technologies
Platform as a Service (PaaS)
Data Management Platforms
Infrastructure as a Service (IaaS)
Cloud Computing
Cybersecurity & Privacy
Identity & Authentication Management
Application Infrastructure & Middleware
Data Exchange & Integration
Analytics & Modeling
Real Time Analytics
Timescale’s Technology Stack maps Timescale’s participation in theinfrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, and cybersecurity and privacy IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting
    Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
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