Exploring the InfluxDB Ecosystem Integrations, Libraries, and Plugins
summary
Overview of concrete tooling and outcomes: InfluxDB IOx adds Flight SQL + Arrow/parquet to enable SQL queries, lower storage costs, and support metrics, logs, and traces; data collection uses Telegraf (≈300 plugins) or language client libraries (Python, Go, Java); a typical Python example uses the Flight client to return a table, convert to pandas and perform pandas downsampling in ~10 lines, then optionally write a downsampled bucket back. Integrations include Grafana (Flight SQL datasource), Superset, Tableau (JDBC), and an upcoming Power BI connector.
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chapters (9)
- 0:00Introduction and agenda
- 1:07Time series databases overview
- 3:37Why time series databases matter
- 7:09InfluxDB 3.0 features
- 7:31Telegraf integrations explained
- 9:18Client libraries and pandas
- 14:30Grafana integration setup
- 18:02Superset and Tableau integrations
- 20:33Resources and Q&A
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