Automated migration from SAP HANA to Snowflake | BryteFlow (2023)

BryteFlow rapidly replicates large amounts of SAP HANA data to its Snowflake database

If your data tables are actual Godzillas, including SAP HANA data, most data replication programs will roll over and die. Not BryteFlow. It takes terabytes of data directly for SAP HANA replication.BryteFlow XL intakeis specifically designed to migrate big data from SAP HANA to Snowflake at super-fast speeds.
Secrets to Fast Loading of Big Data into Cloud Data Warehouses

How much time do database administrators have to spend managing replication?

DBAs typically spend a lot of time managing backups, managing dependencies until changes are processed, configuring full backups, etc., which increases the total cost of ownership (TCO) of the solution. The replication user should have the highest sysadmin privileges in most of these replication scenarios. BryteFlow is "set and forget". Continuous involvement of database administrators is not required, so the total cost of ownership is much lower. Also, you do not need system administrator rights for the replication user.

Create a Snowflake Data Lake or Snowflake Data Warehouse Without Coding

No coding – SAP HANA Snowflake integration is fully automated

Most data tools set up connectors and pipelines to get your data from SAP HANA to Snowflake, but coding is usually required at some point, e.g. to merge data for basic SAP HANA CDC. With BryteFlow, you will never face those hassles. SAP HANA data replication, data fusion, SCD Type 2 history, data transformation, and data reconciliation are all automated and self-service with a point-and-click interface that ordinary business users can use easily.

How to quickly load terabytes of data into Snowflake

Data from SAP HANA to Snowflake is monitored for end-to-end data integrity

BryteFlow provides end-to-end data monitoring. Reliability is our strong focus, as the success of analytical projects depends on this reliability. Unlike other software that configures connectors and pipelines for SAP HANA source applications and streams your data without verifying data accuracy or completeness, BryteFlow tracks your data. For example, if you replicate data from SAP HANA to Snowflake on Thursday, November 2019 at 2:00 p.m. m., all changes made up to that point will be replicated to the Snowflake database, with the most recent change being the latest, so the data is all inserts, deletes, and changes present in the feed at that time.
Extract data from SAP using ODP and SAP OData Services (2 easy methods)

Data maintains referential integrity

With BryteFlow, you can maintain the referential integrity of your data when integrating SAP HANA data with Snowflake. What does that mean? In a nutshell, this means that when changes occur in the SAP HANA source and when those changes are replicated to the target (Snowflake), you can accurately pinpoint the date, time, and values ​​that have changed at the level of the column.

Extract SAP data from SAP systems with business logic intact

In the Snowflake Cloud Data Warehouse, data is continually compared and verified for completeness.

With BryteFlow, the data in theSnowflake-Datawarehouseit is continuously compared with the data in the SAP HANA database, or you can select a frequency for it. Performs point-in-time data integrity checks on entire data sets, including type 2. Compares row counts and column checksums on SAP HANA database and Snowflake data at a very granular level. Very few data integration programs offer this feature.

BryteFlow for SAP

The option to archive data while preserving history of SCD Type 2

BryteFlow provides timestamped data and the version control feature allows you to pull data from any point on the timeline. This version control function is essential for the analysis of historical and predictive trends.

Replicate SAP data to Snowflake

Support for flexible connections to SAP

BryteFlow supports flexible connections to SAP, including: database protocols,ECC, HANA, S/4HANA, and SAP data services. It also supports clustered and clustered tables. Import any type of data from SAP to Snowflake with BryteFlow. It automatically creates the tables in Snowflake so you don't have to worry about hand coding.

5 ways to extract data from SAP S/4 HANA

BryteFlow creates a data lake in Snowflake so that the data model is as it is in the source, no modification required

BryteFlow converts various SAP domain values ​​into standardized and consistent data types at the destination. For example, dates are stored as separate domain values ​​in SAP, and sometimes the date and time are separated. BryteFlow provides a GUI to automatically convert to a date data type on the target or combine date and time into timestamp fields on the target. This is maintained by BryteFlow's initial sync and incremental sync.

SAP BW and the creation of a SAP OData service for data extraction

SAP HANA data can be easily merged and transformed with data from other sources, without the need for coding.

BryteFlow is fully automated. You can merge and transform any type of data from multiple sources with your SAP HANA data so that it can be used at the destination for analytics or machine learning. No coding required - just drag, drop and click.

Creating CDS views in SAP HANA

Automatic recovery after network failure

BryteFlow has built-in failover. In the event of a power or network outage, you do not need to restart SAP HANA data replication to Snowflake. You can pick up where you left off, automatically.