How to load your data from SAP HANA to Snowflake

Pipes allows you to automatically replicate your SAP HANA data into Snowflake on your defined schedule.
Load all your data from SAP HANA to Snowflake to instantly get access to your SAP HANA data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your SAP HANA data into Snowflake. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​
1

Connect to Snowflake

This will be the destination of all data pipelines you build. Besides Snowflake, Pipes supports the most used relational databases in the cloud and on-premises.
2

Connect to SAP HANA

Just enter your credentials to allow Pipes access to the SAP HANA API. Then Pipes is able to retrieve your data from SAP HANA.
3

Create a data pipeline from SAP HANA to Snowflake

Pipes lets you select the data from SAP HANA you want to have in Snowflake. This pipeline will run automatically on your defined schedule!

About SAP HANA

SAP HANA is an in-memory computing platform deployable in the cloud or on premise which delivers more intelligence, enables to accelerate business processes, and simplify IT environments.  SAP HANA removes the burden of siloed data and maintaining separated legacy systems by providing one foundation for all data needs, so customers are able to make better business decisions.

About Snowflake

Snowflake is a high performing cloud data warehouse. It can either be used to store your data in it or / and to use it as a data source.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.