InfluxDB integration
InfluxDB data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.table
type: ingestr
parameters:
source_connection: influxdb
source_table: '<table>'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/influxdb.asset.yml
- extract · InfluxDB dataincremental
- load · snowflake raw.datamerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Time series database designed for handling high write and query loads of time-stamped data, ideal for IoT, monitoring, and analytics applications.
- 01
Add a InfluxDB connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- username
- InfluxDB username
- password
- InfluxDB password
- host
- InfluxDB host
- port
- InfluxDB port (default: 8086)
- database
- InfluxDB database name
- ssl
- Enable SSL connection
Step-by-step
Pick a destination.
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about InfluxDB.
Does Bruin have a built-in InfluxDB integration?
Yes. Built-in ingestr source.
Where can InfluxDB data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect InfluxDB?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.