From SAP HANA to DuckLake using AWS S3

Configure your LakeXpress data pipeline with the selected components

LakeXpress Orchestrator

Manages end-to-end pipelines
Orchestrates FastBCP extracts with retries & logging
Handles incremental sync and schema-aware metadata

Control DB for increments/custom rules & logsMetadata-drivenLinux or Windows

Data

FastBCPEngine

Parquet

Data or Link

Terminal

./LakeXpress config create \
  -a data/ds_credentials.json \
  --log_db_auth_id log_db_ms \
  --source_db_auth_id datasource_sap-hana_01 \
  --source_db_name sales \
  --source_schema_name "sales,dim" \
  --fastbcp_dir_path ./FastBCP_linux-x64/latest/ \
  --fastbcp_p 2 \
  --n_jobs 4 \
  --target_storage_id s3_lake_prd \
  --generate_metadata \
  --sub_path /ingest/bronze \
  --incremental_table "sales.orders:o_orderdate:date" \
  --incremental_table "sales.lineitem:l_shipdate:date" \
  --publish_method internal \
  --publish_target ducklake_tgt

# First sync - full load
./LakeXpress sync

# Subsequent syncs - incremental updates (much faster!)
./LakeXpress sync

Documentation

Get LakeXpress

Source - SAP HANA

SAP HANA is a high-performance in-memory database platform. LakeXpress optimizes extractions from HANA using FastBCP to leverage its in-memory capabilities.

Features:

•Native SAP HANA connector via FastBCP
•Support for views and columnar tables
•Optimized for in-memory data
•High-speed parallel extraction

Format - Apache Parquet

Parquet is the industry-standard columnar file format for analytics. LakeXpress uses FastBCP to extract data from source databases and convert it to Parquet format, ensuring optimal compression, query performance, and compatibility with all modern data platforms.

Advantages:

•Columnar format optimized for analytics
•Efficient compression (typically 3-10x)
•Schema evolution support
•Predicate pushdown for fast queries
•Universal compatibility with cloud platforms
•Preserves data types and precision

Cloud Stage - Amazon Simple Storage Service

AWS S3 is the industry-leading object storage service. LakeXpress stages Parquet files in S3 for scalable, durable, and cost-effective cloud storage before publishing to your target platform.

Features:

•Unlimited scalability
•99.999999999% durability
•Lifecycle policies for cost optimization
•Server-side encryption
•Integration with AWS Glue Data Catalog

Destination - DuckLake

DuckLake is an open lakehouse platform powered by DuckDB. LakeXpress stages Parquet files that DuckLake can access directly for fast analytical queries.

Publishing method:

DuckDB External Tables or COPY

Features:

•Open lakehouse architecture
•Native Parquet and Delta Lake support
•ACID transactions with DuckDB
•Fast local and remote queries
•No vendor lock-in

Related Pipelines

Teradata → ABS → DuckLake

PostgreSQL → S3 → Snowflake

PostgreSQL → S3 → Fabric

MariaDB → S3 → Redshift

Teradata → S3 → DuckLake

MySQL → S3 → DuckLake