SparkLake helps enterprises escape costly Informatica PowerCenter licenses and legacy RDBMS warehouses. Migrate to Databricks and Azure Data Factory — cutting infrastructure costs by 70% while unlocking modern, scalable data capabilities.
Every quarter you stay on expensive Informatica licenses or aging Oracle/SQL Server warehouses, your competitors on modern cloud platforms pull further ahead.
Informatica’s per-connector, per-core licensing model means costs scale with your data volume — not your business value. Most enterprises overpay by 300–500% for data pipelines that could run for a fraction of the price on open-source alternatives like Databricks and Azure Data Factory.
Avg. $800K–$2M/yr in licensing feesTraditional Oracle, SQL Server, and Teradata warehouses weren’t built for petabyte-scale analytics or real-time processing. Your data teams spend more time managing capacity and tuning indexes than delivering business insights.
10–100× slower than modern lakehousesProprietary Informatica mappings and ETL logic create deep coupling to expensive vendor tooling. Data warehouse migrations become multi-year projects — giving vendors enormous leverage at renewal time.
Average 3.5 yr contract commitmentsYour best data engineers are babysitting fragile Informatica workflows and legacy warehouse performance instead of building new capabilities. Legacy infrastructure consumes 60–70% of data team capacity just to keep systems running.
~65% of team time on maintenanceSparkLake replaces your expensive Informatica PowerCenter and legacy RDBMS warehouse with a proven, open-source architecture built on Databricks and Azure Data Factory.
From Legacy to Modern
We inventory every PowerCenter mapping, workflow, and data dependency before writing a single line of code. You get a complete migration roadmap with no surprises mid-project.
Our proprietary tooling converts Informatica mappings and workflows to Azure Data Factory pipelines and Spark notebooks at speed — dramatically reducing manual effort and human error in the migration process.
We run legacy Informatica and modern Databricks systems in parallel until full data parity is confirmed — then execute a zero-downtime cutover on your timeline.
Your data engineering team gets hands-on Databricks and Azure Data Factory training plus comprehensive documentation so they fully own the new platform from day one. No black-box handoffs.
A proven methodology that de-risks your migration from Informatica PowerCenter to Databricks at every stage.
We inventory every Informatica mapping, workflow, data source, and dependency in your PowerCenter environment. You receive a complete Databricks migration roadmap with effort estimates and risk flags before any commitment to proceed.
Automated conversion of Informatica workflows to Azure Data Factory pipelines and Databricks notebooks, followed by rigorous data reconciliation testing. Legacy PowerCenter and new Databricks systems run in parallel throughout.
Zero-downtime cutover from Informatica to Databricks on your schedule. Post-migration we tune Databricks performance, establish monitoring, and enable your team to fully own and extend the new lakehouse platform.
Databricks and Azure Data Factory aren’t just cheaper than Informatica — they’re faster, more capable, and future-proof for AI and machine learning workloads.
Eliminate expensive per-core and per-connector Informatica licensing. Pay only for Databricks compute you actually use with auto-scaling clusters that spin down when idle.
Databricks’ Delta Lake columnar storage and Photon engine deliver order-of-magnitude performance improvements over traditional Oracle, SQL Server, and Teradata warehouses.
Delta Lake, Parquet, and Apache Spark are open-source standards. Your data and business logic are completely portable — no vendor lock-in like Informatica PowerCenter.
Auto-scaling Databricks clusters handle petabyte workloads on demand. No more capacity planning, maintenance windows, or performance tuning like legacy RDBMS warehouses.
Databricks Unity Catalog and MLflow give your data science teams the governed, centralized foundation they need for production machine learning and generative AI workloads.
Azure Data Factory integrates natively with your existing Azure services — Synapse, Purview, Key Vault, and 90+ built-in connectors out of the box.
Tell us about your current Informatica PowerCenter and data warehouse environment. We’ll respond within 48 hours with a high-level Databricks migration scope, estimated cost savings, and proposed timeline — at no cost or obligation.