Project Name
How Ksolves Replaced Informatica PowerCenter with NiFi and Reduced Job Execution Time by 65%
Our client is a global retail and distribution enterprise operating multiple sales channels, including physical stores, eCommerce platforms, mobile apps, and partner marketplaces. Their business relies heavily on timely, accurate data movement for inventory planning, pricing decisions, customer engagement, and executive reporting. The organization previously used Informatica PowerCenter for ETL workflows. However, the increasing data volume from growing digital operations led to performance delays, high operational costs, and an inability to support real-time data insights.
The client aimed to adopt a scalable, cost-effective data platform that fit their long-term cloud and analytics vision. Facing performance bottlenecks and high operational costs with Informatica PowerCenter, they approached Ksolves to help modernize their data infrastructure.
The client was experiencing key operational and technical barriers:
- Long ETL Processing Windows: PowerCenter batch jobs often took 4–8 hours to complete, delaying business reporting and decision-making.
- High Licensing and Maintenance Costs: Scaling PowerCenter required additional licenses and proprietary hardware, significantly increasing TCO.
- Lack of Real-Time Data Support: Existing architecture was batch-focused and could not support real-time analytics, inventory visibility, or customer activity tracking.
- Slow Change Implementation: Enhancing or modifying workflows required long development cycles, restricting agility.
- Scaling Limitations: The increasing data volume during peak seasons led to performance bottlenecks and operational inefficiencies.
To resolve these challenges, Ksolves executed a phased modernization initiative, delivering a scalable and future-ready integration layer:
- Apache NiFi Deployment: Implemented Apache NiFi on a high-availability Kubernetes cluster, enabling horizontal scaling, load balancing, and fault tolerance.
- NiFi Flow Migration: Re-engineered all major PowerCenter data workflows into NiFi using native processors for data ingestion, transformation, routing, and streaming.
- Real-Time + Batch Hybrid Architecture: Enabled real-time data streaming via Apache Kafka, while retaining scheduled NiFi flows for historical and bulk workloads.
- Security & Governance: Enabled NiFi Registry for version control and configured data lineage tracking for full visibility and auditability.
- Modern Data Ecosystem Integration: Connected NiFi pipelines to AWS S3 (data lake) and Snowflake/Redshift (analytics) for faster analytics and simplified reporting.
- 65% Faster Data Processing: Batch processing reduced from 4–8 hours to 1.4–2.5 hours, ensuring analytics were refreshed in business hours.
- 45% Cost Reduction: Eliminated PowerCenter license expenses and lowered operational overhead.
- Real-Time Data Availability: Enabled live insight into inventory, customer behavior, and transactions.
- Scalable and Resilient Infrastructure: The NiFi cluster scaled automatically to handle peak seasonal loads.
- Faster Enhancement and Delivery Cycles: Visual flow-based configuration reduced change deployment time from weeks to hours.
By migrating from Informatica PowerCenter to Apache NiFi, the client gained a modern, secure, scalable, and real-time data integration platform aligned with future business growth. The solution improved performance, strengthened analytics capabilities, reduced operational costs, and provided the organization with agility to adapt to evolving data needs rapidly. This transformation not only solved current bottlenecks but also created a strong foundation for advanced analytics, automation, and digital scaling initiatives.
Transform Your Legacy ETL Workflows Into Scalable, Real-Time Pipelines.
