Informatica to Databricks Migration
As organizations adopt cloud-native data platforms, many are migrating from Informatica PowerCenter to Databricks Lakehouse architecture.
Why Migrate Informatica to Databricks?
Unlock the full potential of your data with the Databricks Lakehouse platform.
Lower Licensing Costs
Reduce expensive legacy ETL tool licensing fees by moving to a unified, open analytics platform.
Spark-Based Scalability
Leverage the limitless scalability of Apache Spark for high-volume data processing and transformations.
Lakehouse Architecture
Combine the best elements of data lakes and data warehouses for simplified data management and governance.
AI & ML Integration
Seamlessly integrate ETL pipelines with advanced machine learning and AI capabilities.
Our Informatica to Databricks Migration Strategy
Step 1 – Workflow Assessment
- Comprehensive mapping inventory of all Informatica workflows
- Analysis of complex transformations and logic
- Review of scheduling dependencies
Step 2 – Conversion to Spark
- PySpark development to replace Informatica logic
- Implementation of Delta Lake for data reliability
- Setting up job orchestration in Databricks Workflows
Step 3 – Validation
- Rigorous data reconciliation between old and new systems
- Performance optimization for Spark jobs
Business Impact
Cost Reduction
Significantly lower total cost of ownership by modernizing your data stack.
Performance Improvement
Accelerate data processing times with the speed of Databricks Photon engine.
Advanced Analytics Readiness
Prepare your data for predictive analytics and data science initiatives.
Start Your Informatica to Databricks Migration
Modernize your ETL pipelines with Pulse Convert.
