IBM DB2 integration
IBM DB2 data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.table
type: ingestr
parameters:
source_connection: ibm_db2
source_table: '<table>'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/ibm_db2.asset.yml
- extract · IBM DB2 dataincremental
- load · snowflake raw.datamerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Enterprise-grade relational database management system from IBM, designed for high-performance transactional and analytical workloads.
- 01
Add a IBM Db2 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
- DB2 username
- password
- DB2 password
- host
- DB2 server hostname
- port
- DB2 port (default: 50000)
- database
- Database name
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 IBM DB2.
Does Bruin have a built-in IBM DB2 integration?
Yes. Built-in ingestr source.
Where can IBM DB2 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 IBM DB2?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.