timescaledb

by timescale · Data

A time-series database for high-performance real-time analytics packaged as a Postgres extension

New0 ratings23,471 starsActive
DataDeveloper ToolCPLpgSQL
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About this project

TimescaleDB is a PostgreSQL extension for high-performance real-time analytics on time-series and event data Quick Start with TimescaleDB Get started with TimescaleDB in under 10 minutes. This guide will help you run TimescaleDB locally, create your first hypertable with columnstore enabled, write data to the columnstore, and see instant analytical query performance. What You'll Learn — How to run TimescaleDB with a one-line install or Docker command — How to create a hypertable with columnstore enabled — How to insert data directly to the columnstore — How to execute analytical queries Prerequisites — Docker installed on your machine — 8GB RAM recommended — psql client…

Technologies

PythonCPLpgSQLCMakeRubyanalyticsdatabasefinancial-analysis

Project health

Actively maintained
Last update2 days ago
Contributors118
Latest release2.29.2
Open issues & PRs392
LicenseOther
On GitHubsince 2017

GitHub

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