SAP HANA integration
SAP HANA data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.sales_data
type: ingestr
parameters:
source_connection: sap_hana
source_table: 'SALES_DATA'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/sap_hana.asset.yml
- extract · SAP HANA SALES_DATAincremental
- load · snowflake raw.SALES_DATAmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
SAP HANA is an in-memory, column-oriented database optimized for real-time analytics.
- 01
Add a SAP HANA 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.
Tables
3 tables, ready to load.
SALES_DATACUSTOMER_MASTERINVENTORY_FACTS
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 SAP HANA.
Does Bruin have a built-in SAP HANA integration?
Yes. Built-in ingestr source. Built-in ingestr destination.
Which SAP HANA tables can Bruin load?
SALES_DATA, CUSTOMER_MASTER, INVENTORY_FACTS.
Where can SAP HANA 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 SAP HANA?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.