- Industry: Shipping & Logistics
- Geography: United States
- Operating Model: Centralized logistics platform supporting multiple regions and shipping lanes
- Over 50 NiFi clusters distributed across regions.
- More than 400 active data flows handling shipment, tracking, routing, and operational data.
- Dedicated Dev, QA, UAT, and Production environments.
- Mix of real-time and batch ETL workloads.
- Apache NiFi acts as the core ETL and data movement layer, ingesting, transforming, and routing high-volume logistics and shipment data in real time. These pipelines power container tracking, route optimization, and operational reporting, making reliability and deployment accuracy business-critical.
- Escalating licensing and renewal costs.
- Strong dependence on the vendor for upgrades, fixes, and changes.
- Costly scale-out as clusters and flows increased.
- Slow customization and integration cycles.
- Delayed vendor support impacting critical ETL workflows.
The client initially adopted a commercial enterprise ETL platform and later a vendor-managed NiFi offering to meet enterprise requirements. While functional, the solution became increasingly restrictive and expensive at scale.
Key issues included:
As the number of clusters and flows grew, costs rose sharply, operational flexibility declined, and the platform team struggled to maintain reliability at scale.
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Operational Metrics
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Before DFM
|
|---|---|
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ETL platform
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Commercial / vendor-managed
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|
Licensing model
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High recurring costs
|
|
Cluster count
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50 clusters, vendor-controlled
|
|
Flow scale
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400+ flows, hard to govern
|
|
Deployment process
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Manual / vendor-dependent
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|
Deployment failures
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Frequent
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Support response
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Slow, vendor-dependent
|
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Operational effort
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High, large team required
|
- Enabled a clean exit from managed ETL and managed NiFi offerings while continuing to use open-source Apache NiFi as the core data integration engine.
- Preserved NiFi’s flexibility and extensibility, while introducing the missing enterprise controls required at scale.
- Provided centralized management for 50 NiFi clusters and 400+ flows, eliminating fragmented tooling and cluster-by-cluster operations.
- Removed license costs that scaled with usage, allowing the platform to grow without proportional increases in ETL spend.
- Introduced governance and auditability into the flow deployment lifecycle, including role-based access, sanity and validation checks, and audit logs.
- Reduced reliance on vendor support and manual operational effort, improving response times and day-to-day stability.
The platform team needed to break out of vendor lock-in without sacrificing the operational controls expected from an enterprise ETL platform. Replacing Apache NiFi was not an option – the challenge was how to operate it reliably and consistently at scale.
After evaluating alternatives, DFM was selected because it:
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ETL Platform Modernization
- Migrated from a commercial enterprise ETL platform and vendor-managed NiFi to self-managed, open-source Apache NiFi.
- Introduced DFM as a centralized control plane to manage 50 NiFi clusters across regions.
- Standardized cluster configurations to eliminate configuration drift and ensure consistent runtime behavior.
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Flow Deployment & Governance
- Centralized governance of 400+ ETL flows across all environments.
- Implemented role-based access control (RBAC) to enforce separation of duties.
- Introduced pre-deployment validation and sanity checks to prevent faulty releases.
- Enabled a complete audit trail for flow changes, deployments, and rollbacks.
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Multi-Environment Management
- Established controlled flow promotion across Development → QA → UAT → Production.
- Replaced ad-hoc scripts and manual steps with repeatable, policy-driven deployment workflows.
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Operational Automation & Support
- Automated flow creation, configuration, scheduling, deployment, and health monitoring.
- Reduced day-to-day operational dependency to 1–2 NiFi engineers, freeing the broader team for higher-value work.
- Enabled 24×7 expert NiFi support, ensuring faster incident response and minimal disruption to critical ETL pipelines.
| Metrics | Before DFM | After DFM |
|---|---|---|
| ETL licensing costs | Very high | Reduced by ~70% |
| Deployment time | Hours | Minutes |
| Deployment failures | Frequent | Near zero |
| Flow scale | Difficult to manage | 400+ flows governed centrally |
| Vendor dependency | High | Eliminated |
- 70% reduction in operational costs by eliminating enterprise licensing.
- 4× higher operational throughput with a significantly smaller team.
- Zero failed deployments due to built-in validations.
- Faster release cycles, improving responsiveness to logistics demands.
- Full ownership of ETL operations, removing long-term vendor dependence.
The organization moved from a high-cost, vendor-controlled ETL model to an open, governed, and scalable data integration platform powered by Apache NiFi and Data Flow Manager.
“DFM allowed us to move away from expensive enterprise ETL, regain control over our NiFi platform, and operate hundreds of flows reliably at global scale.”
— Head of Data Platforms, Global Shipping Company
- Shipping and logistics organizations with high-volume ETL workloads.
- Enterprises replacing costly commercial ETL platforms.
- Teams running NiFi at multi-cluster, multi-environment scale.
- Organizations seeking vendor independence with enterprise-grade control.
See how DFM can Reduce Your NiFi Operational Effort by up to 70%