ETL/ELT Engine for Systems Integration & Data Pipelines
JBE Data Integration Platform. One engine for every source and target.
An ETL/ELT engine developed by JBE in Python for systems integration and data pipelines between heterogeneous sources and targets: Amazon S3, PostgreSQL, Oracle, SQL Server, SQLite, any SQL database, SAP S/4HANA, SAP OData, SAP RFC, SharePoint and CSV, Excel or TXT files.
The problem
Why JBE Data Integration Platform exists
Enterprise data rarely lives in one place. SAP, relational databases, cloud storage, SharePoint libraries and spreadsheets all feed the same reports and processes, and each new connection tends to become another one-off script. Without a common engine, logging, validation and restart behaviour differ from pipeline to pipeline, and nobody can say with confidence what was loaded and when.
The platform was developed by JBE from its data engineering work on SAP and enterprise data programs. It packages the connectors, load patterns and controls we kept rebuilding into one engine, so new pipelines start from a tested base instead of a blank script.
Built for
- Data engineering and analytics teams
- SAP and ERP integration teams
- IT teams consolidating data from several systems
- Programs that need repeatable, auditable data loads
In one sentence
Connect SAP, databases, cloud storage and files through the same governed pipeline.
How it flows
From source to target
- ConnectConfigure source and target connections: SAP, databases, Amazon S3, SharePoint or files.
- ExtractRead data in full, incremental or CDC (change data capture) mode.
- TransformApply mappings, type casting and business rules in Python or SQL.
- ValidateCheck row counts, data types and quality rules before data reaches the target.
- LoadWrite to the target with logging and restart points for every run.
Capabilities
Key features
SAP connectivity
Extraction from SAP S/4HANA through OData services and RFC, side by side with non-SAP sources in the same pipeline.
Databases and universal SQL
Native connectors for PostgreSQL, Oracle, SQL Server and SQLite, plus a universal SQL connector for any SQL database.
Cloud storage, SharePoint and files
Read and write Amazon S3, SharePoint and CSV, Excel and TXT files as sources or targets.
Any source to any target
Sources and targets are interchangeable, so the same engine covers integration between systems, landing zones and analytics layers.
Full, incremental and CDC loads
Choose the load pattern per pipeline, from complete reloads to change data capture.
Logging, validation and restart
Every run is logged, validated and can be restarted from where it stopped, without reprocessing what already succeeded.
Connect your systems on a tested base.
Tell us which sources and targets you need to integrate. We will show how the platform fits your landscape.