Automated Cloud Migration Route

Migrate from SAP HANA to Databricks

Convert SAP HANA views, tables, and scripts into optimized PySpark notebooks and Delta Lake tables automatically.

SAP HANA

Databricks

Deterministic AI Compilation

Zero hallucinations. Enforced logic equivalence.

90-95%

Average Automation Rate

65%

Avg Modernization Cost Savings

70%

Timeline Reduction Time

How DataSwitch Automates SAP HANA to Databricks Migrations

Unlike traditional manual re-writing or statistical AI models, DataSwitch uses a deterministic compiler to translate logic with high precision and syntactical accuracy.

1. Discover & Analyze

Extract schema metadata and legacy code configurations from your SAP HANA environment. Generate automation complexity reports and impact mapping.

2. Compile & Translate

DataSwitch's deterministic compiler translates SAP HANA objects, queries, and business transformations directly into optimized, native Databricks code.

3. Validate & Remediate

Validate target compiled query syntax, remediate potential translation gaps, and cross-reference schema metrics using built-in data verification algorithms.

4. Deploy & Run

Packages and deploys optimized schemas, views, data pipelines, and orchestration packages directly into Databricks environment.

Frequently Asked Questions | SAP HANA to Databricks

DataSwitch translates the graphical or scripted calculation views into PySpark DataFrame operations or Spark SQL views, maintaining join structures and transformations.

HANA data types (such as ALPHANUM or VARCHAR) are converted into compatible Spark and Delta Lake types automatically, adjusting for collation and storage settings.

A typical migration of hundreds of SAP HANA views and procedures is completed within weeks rather than months of manual re-writing.

Start Your SAP HANA to Databricks Journey

Partner with DataSwitch to modernize your legacy codebases, schema layouts, and ETL pipelines into optimized Databricks systems automatically. Estimate your automation rate today.