Automated workload transformation from Informatica to Databricks

Convert and rearchitect your legacy code, ETL scripts, and business logic seamlessly

For businesses, moving to the cloud is about staying updated to the ever-evolving digital landscape. Migrating to Databricks can enable businesses to unlock their true potential, but they can encounter unwanted obstacles in their modernization journey.

LeapLogic can change that.

Automate Informatica to Databricks migration up to 95% with LeapLogic’s intelligent grammar engine.

Let’s see how LeapLogic automates end-to-end Databricks migration with its proven 4-step approach:


LeapLogic starts the ETL migration to Databricks journey by assessing the existing Informatica scripts and provides comprehensive complexity analysis and end-to-end data and process lineage. This helps in offloading workloads to Databricks Lakehouse in a phased manner. Furthermore, LeapLogic identifies code gaps and offers actionable recommendations to ensure efficient performance of the workloads on Databricks Lakehouse.

LeapLogic also offers a graphical view of data and process lineage that illustrates complex interdependencies between workloads. The detailed assessment ensures improved data security, privacy, transparency, quality, and regulatory compliance.


LeapLogic performs an end-to-end transformation of Informatica workloads to Databricks in three stages:


Automates the conversion of the entire legacy schema to Databricks-equivalent PySpark code and migrates all the data into Databricks cloud data warehouse tables

Data validation

Authenticates all the migrated data and certifies it seamlessly


Modifies the Informatica code and business logic to Databricks-equivalent code

LeapLogic’s intelligent transformation engine significantly reduces manual effort in mapping and converting all source qualifiers, keywords, filters, functions, lookups, Informatica expressions, and constructs during Informatica migration to Databricks.


Once LeapLogic transforms all the legacy code, it further optimizes the data on the cloud by auto-generating reconciliation scripts and offering unit and integration testing.

LeapLogic also provides cell-to-cell validation reports, data type, file-to-file validation, and entity-level matching.


When we say end-to-end, we mean it!

LeapLogic integrates legacy tools and existing processes to Databricks-native orchestrators using target executable packaging. When migrating workloads from Informatica to Databricks, it also ensures operationalization of the migrated workloads on Databricks.

It provides a DevOps-ready environment, an optimal cost-performance ratio, accelerates the decommissioning of legacy workloads, and ensures stabilization on Databricks.

What value do you get out of these?

Automated, fast, risk-free, dependable, secure, and affordable Databricks modernization experience.

For over a decade, we have helped Fortune 500 companies take data-driven decisions with absolute confidence and drive powerful business outcomes they had never even imagined.

We are here to accelerate your modernization journey!