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The First-Ever
 UI-Driven

Data Flow
Management Tool

Sarah Chen DFM is fundamentally simplifying and strengthening how NiFi operations are run. Sarah Chen, VP of Data Engineering at 2degrees
Introducing the Capabilities You Always Wanted NiFi to Have
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Centralised NiFi Flow Deployments

A single dashboard shows every environment, Dev, UAT, Production, and lets you push a flow to any of them without opening that cluster's NiFi UI. Export, import, and reconfigure happen in one action instead of three manual steps repeated per cluster.

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Scheduled NiFi Flow Deployments

Set a date and time for a deployment, and DFM triggers it automatically when that window arrives. No engineer needs to be logged in or awake to start it.

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Flow Validation & Sanity Checks

Before a flow deploys, DFM checks it against the target environment for missing dependencies, broken references, configuration mismatches, and flags anything that would fail before the deployment happens, not after.

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Controller Service Management

Controller services (database connections, credentials, shared configs) get rebound automatically to match each target environment during deployment, instead of someone manually reconnecting each one by hand, per cluster, every time.

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Approval Workflows & RBAC

Every deployment can be routed to a specific person or role for sign-off before it proceeds. Permissions are set per user, so who can view, deploy, or approve is controlled directly inside DFM.

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Audit Logs

Every deployment action, who triggered it, what changed, and which environment, gets recorded automatically in a tamper-evident log, searchable later for compliance review or rollback.

Trusted by Top leaders

Enterprises Trust DFM for Mission-Critical NiFi

~88%

Faster Deployments

Telecom Provider (New Zealand)

Struggling with manual, error-prone NiFi deployments and frequent production incidents, this telecom provider partnered with DFM to bring governance and automation to their real-time data platform. The result: 20–30 min per flow, down from 3-4 hrs, near-zero failed deployments, and full audit readiness across Dev, QA, and Production.

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70%

Reduction in Operational Effort

Global Fintech Platform

Scaling customer onboarding meant scaling NiFi operations too, but this multi-tenant fintech platform was stuck with manual cluster setups and risky VM-based deployments. Partnering with DFM, the team automated cluster provisioning, migrated safely to managed Kubernetes, and brought governance to every release across their customer environments.

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70%

Reduction in Licensing Costs

Global Shipping Company

Running 50+ NiFi clusters and 400+ flows on a costly, vendor-managed ETL platform, this logistics provider needed to break free from licensing costs and vendor dependency without losing enterprise-grade control. With DFM, they moved to self-managed, 4x higher operational throughput with a smaller team, RBAC, and validation checks across every environment.

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60%

Faster, Error-Free Deployments

Global Bank

Processing over 1 billion transactions daily across North America, Europe, and APAC, this bank was struggling with manual NiFi deployments, limited visibility into cluster health, and complex access governance across its environments. With DFM 2.0's Agentic AI layer, the bank moved to centralized configuration, automated validation, and real-time predictive monitoring, unlocking massive scale without compromising compliance or uptime.

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70%

Cost Savings

IT Services and Consulting Firm

Compliance reporting deadlines were slipping under the weight of manual NiFi deployments, configuration drift, and heavy dependency on specialized experts and IT operations for every release. With Data Flow Manager, the client moved to self-service deployments, scheduled releases with approval workflows, and full audit logging with rollback, freeing teams to focus on higher-value work.

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Your First 10 Flows Are Free

Deploy, validate, and audit up to 10 NiFi flows at no cost.

Data Flow Manager dashboard Data Flow Manager dashboard

Custom Capabilities: For Teams That Need More

These features are available as scoped, priced add-ons for teams that need them, quoted separately based on your setup.

Cluster Setup & Upgrade

Get your NiFi cluster stood up, configured, or upgraded to a new version, handled as a scoped engagement rather than a self-serve feature.

Registry Setup & Upgrade

Set up or upgrade NiFi Registry, and get it configured to work cleanly with your DFM deployment pipeline.

Registry Association

Connect your existing NiFi Registry instance to DFM, so version-controlled flows work seamlessly with centralized deployment.

Custom NAR & Binary Uploads

Upload and manage custom NiFi processors (NAR files) and binaries as part of your deployment pipeline.

Cluster Stop/Start

Start, stop, or restart NiFi clusters directly, for teams that want cluster lifecycle control alongside flow deployment.

Agentic AI (Knowe)

Ask Knowe about your NiFi setup in plain English, and get cluster health, CPU, memory, and heap diagnostics across every cluster, consolidated in one view, no Grafana or Prometheus required.

The Blueprint of Trust: Our Global Compliance Framework

ISO certification
SOC 2 Type 2 certification
GDPR compliance
CMMI level certification
HIPAA compliance

Listen & Hear from
Our Clients

“DFM fundamentally changed how we manage Apache NiFi. Deployments are faster, safer, and fully auditable, giving our team confidence to scale NiFi across the enterprise.”

Platform Engineering Lead, Telecom

“Standardizing NiFi clusters was one of our bigger challenges. DFM helped us move from VMs to managed Kubernetes more smoothly and put basic governance in place for deployments.”

Head of Platform Engineering, FinTech

“As our data workloads grew, our ETL costs and operational overhead grew with them. DFM helped us rely more on NiFi and run hundreds of flows consistently across regions.”

Head of Data Platforms, Global Shipping Company

“With DFM, we can deploy and promote NiFi flows across all environments effortlessly. What used to take hours of manual work now happens in minutes.”

Senior Data Engineer, Healthcare Analytics

“Flow validation and sanity checks before production is a lifesaver. DFM spots issues early, so we don’t have to scramble when something breaks.”

VP of Data Engineering, Retail Technology

“Managing controller services at scale was a nightmare across NiFi clusters. DFM centralized management, simplified updates, and drastically reduced configuration errors.”

Platform Operations Manager, Logistics

“The ability to validate flows before they touch production transformed how we work. DFM ensures our pipelines are robust, saving both time and expensive troubleshooting costs.”

Lead Data Architect, FinTech

“Having centralized NiFi flow deployment has made life much easier. We know exactly what’s running where, and promoting flows across environments is no longer guesswork.”

Platform Engineer, SaaS Data Platform

“Scheduled deployments help us roll out changes during planned windows. We don’t have to manually coordinate releases anymore.”

Data Engineering Manager, Aerospace

“Scaling controller services used to be error-prone and slow. DFM made it effortless, giving our global teams a single source of truth and peace of mind for critical data operations.”

Head of Platform Engineering, Media & Entertainment

“Centralized deployment and promotion made it easier to move flows between environments without breaking things. We spend less time double-checking releases now.”

Senior Data Engineer, Enterprise Data Team
Data Flow Manager vs. Other NiFi Management Approaches
Feature comparison between Data Flow Manager and other NiFi management tools
Features Data Flow Manager DFM Other Management Tools Other Tools
UI Driven CI/CD Style Flow Deployment
Open-Source NiFi Support (1.x and 2.x)
Flow Analysis
Data Flow Generation
Support for Custom Processors
Scheduled Data Flow Deployments
Process Group-Level Monitoring & Alerts
Flow Deployment Activity History & Audit Logs
Role-Based Access Control
24x7 NiFi Support
Faster Response Time (within 2 hours)
No Vendor Lock-in
What DFM Changes for Your Team
What DFM Changes for Your Team
No more custom Java or Python just to move a flow between clusters. What used to require in-house scripting now happens through one interface.
Scheduled deployments mean production changes happen off-hours automatically, without anyone needing to be online to trigger them.
Every promotion is validated against the target environment before it ships, so Dev, QA, and Production stay in sync instead of quietly diverging over time.
Full audit trails mean a compliance review or a regulator's question gets answered in minutes, not a week of digging through logs.
Every deployment gets a second set of eyes before it goes live, without slowing the team down.
Works with open-source Apache NiFi directly, so there's no migration to a proprietary platform and no dependency on one vendor's ecosystem.
DFM Change Interface

Built for Businesses Running Multiple NiFi Instances

Your first 10 flows are free. See why teams managing dozens of instances rely on one deployment path instead of many.

Data Flow Manager dashboard Data Flow Manager dashboard

Frequently Asked Questions

This usually happens because of a controller service that wasn't reconnected correctly or a configuration mismatch between environments. DFM validates a flow against its target environment before deployment, catching this before it causes downtime, not after.

This is almost always a controller service reference that doesn't exist in the target cluster yet. DFM manages controller service bindings automatically during deployment, so flows don't land broken.

Data Flow Manager automates NiFi flow deployment across Dev, QA, and Production from a single interface, replacing custom scripts and NiFi Toolkit automation entirely.

DFM lets you schedule a flow deployment for a specific time, so it runs automatically without anyone needing to be online to trigger it.

DFM provides role-based access control and approval sign-off across every NiFi environment, so only authorized users can push a flow to Production, and nothing ships unreviewed.

DFM keeps a centralized, immutable audit log of every deployment, across every environment, including who deployed it, when, and to which cluster, built for teams that need to prove this to a regulator.

NiFi 2.0's Flow Analysis checks a flow's design quality within one running cluster. DFM validates whether a flow will survive the move between environments, checking controller service bindings and dependencies specifically at the moment of deployment. Different problem, same word.

DFM works with open-source Apache NiFi, versions 1.x and 2.x. No proprietary NiFi distribution required.

Yes. DFM doesn't modify or replace NiFi itself, flows stay entirely NiFi-native. You can export everything and leave at any time.