Tutorials
We’ve created a host of code-focused tutorials that will help you get started with TimescaleDB.
Most of these tutorials require a working installation of TimescaleDB.
Common scenarios for using TimescaleDB
- Start Here - Hello Timescale: If you are new to TimescaleDB or even SQL, check out our tutorial with NYC taxicab data to get an idea of the capabilities our database has to offer.
- Time-series Forecasting: Use R, Apache MADlib and Python to perform data analysis and make forecasts on your data.
- Analyze Cryptocurrency Data: Use TimescaleDB to analyze historic cryptocurrency data. Learn how to build your own schema, ingest data, and analyze information in TimescaleDB.
How to use specific TimescaleDB features
- Scaling out TimescaleDB: Distribute data across multiple nodes to scale out your TimescaleDB cluster.
- Replication: TimescaleDB takes advantage of well established PostgreSQL methods for replication. Here we provide a detailed guide along with additional resources for setting up streaming replicas.
- Continuous Aggregates: Getting started with continuous aggregates.
Integrating with Prometheus
- Setup a Prometheus endpoint to monitor Timescale Cloud: Configure Prometheus to collect monitoring data about your Timescale Cloud instance.
- Monitoring Django with Prometheus: Learn how to monitor your Django application using Prometheus.
Integrating with Grafana
- Creating a Grafana dashboard and panel: Basic tutorial on using Grafana to visualize data in TimescaleDB.
- Visualize Geospatial data in Grafana: Use the Grafana WorldMap visualization to view your TimescaleDB data.
- Use Grafana variables: Filter and customize your Grafana visualizations.
- Visualizing Missing Data with Grafana: Learn how to visualize and aggregate missing time-series data in Grafana.
- Setting up Grafana alerts: Configure Grafana to alert you in Slack, PagerDuty, and more.
Integrating with other products
- Collecting metrics with Telegraf: Collecting metrics with the PostgreSQL and TimescaleDB output plugin for Telegraf.
- Visualize Time-Series Data using Tableau: Learn how to configure Tableau to connect to TimescaleDB and visualize your time-series data.
- Migrate from InfluxDB with Outflux: Use our open-source migration tool to transfer your data from InfluxDB to TimescaleDB.
Language quick-starts
- Node and TimescaleDB: A quick start guide for Node developers looking to use TimescaleDB.
- Python and TimescaleDB: A quick start guide for Python developers looking to use TimescaleDB.
- Ruby on Rails and TimescaleDB: A quick start guide for Ruby on Rails developers looking to use TimescaleDB.
- Golang and TimescaleDB: A quick start guide for Golang developers looking to use TimescaleDB.
Additional resources
- Sample data sets: And if you want to explore on your own with some sample data, we have some ready-made data sets for you to explore.
- Simulate IoT Sensor Data: Simulate a basic IoT sensor dataset on PostgreSQL or TimescaleDB.
- psql installation:
psql
is a terminal-based front-end for PostgreSQL. Learn how to installpsql
on Mac, Ubuntu, Debian, Windows, and pick up some valuablepsql
tips and tricks along the way.
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