Overview
The best part of NiFi data flow deployment is that it’s fully managed via the UI, making it easy for anyone. The Data Flow Manager
(DFM) exports NiFi data flows from development (via NiFi Registry) and imports them into the target environment with version control.
Deployment options include Standalone, Clustered, Docker, Kubernetes, and Cloud setups for scalability.
Choose the target cluster where the flow will be deployed.
Pick the bucket that contains the desired flow and then flow.
Modify parameters, variables, controller services, and other necessary configurations.
Select the location on the NiFi canvas where you'd like to place your flow.
Modify parameters, variables, controller services, and other necessary configurations.
Deploy the flow immediately or schedule it for future deployment based on access rights.
Deploy NiFi Data Flows Across Multiple Environments In
| Features | Data Flow Manager | Other Enterprise Solutions |
|---|---|---|
| UI based One Click NiFi Data Flow Deployment & Rollbacks | ||
| Scheduled NiFI Data Flow Deployments with Approval Workflow | ||
| Flow Deployment Activity History & Audit Logs | ||
| Role-Based Access Control | ||
| Process Group-Level Monitoring & Alerts | ||
| Open-Source NiFi Support (1.x and 2.x) | ||
| Support for Custom Processors | ||
| 24x7 NiFi Support | ||
| Faster NiFI Support Response Time (within 30 minutes) |
Experience error-free NiFi data flow deployments, monitoring, governance, and automation – all at a fraction of what others charge.
| Parameters | Data Flow Manager | Ansible |
|---|---|---|
| Purpose-built for NiFi | Specifically for NiFi data flow deployments. | No – a general-purpose automation tool. |
| Ease of Use for Managing NiFi Data Flows | GUI-based, intuitive interface | Requires writing YAML scripts |
| Flow Versioning | Built-in version control via NiFi Registry. | Manual – requires managing flow.xml.gz or templates. |
| NiFi Data Flow Changes & Versions Tracking | Automatic | Custom logic or manual tracking |
| Rollback to Previous NiFi Data Flow Versions | Easy | Manual and error-prone |
| Integration with NiFi Registry | Native and seamless | Needs extra scripting |
| Validation Before NiFi Data Flow Deployment | Built-in | Manual |
| Real-time Feedback | No – requires checking logs manually | |
| Error Handling | User-friendly UI | Script/log-based |
| Team Collaboration | Supports collaborative flow development with versioning. | Limited – harder to collaborate via code/scripts. |
| Security & Access Control | Integrated with NiFi's user policies. | Manual |
| NiFi Data Flow Deployment Automation | Yes, via Registry integration | Complex and effort-intensive |
Automated NiFi Cluster Installation
Rolling NiFi Cluster Upgrade & Patch Management
SSO, Kerberos, LDAP Integration
NiFi Cluster Logging, Monitoring & Alerts
Performance Tuning & Load Balancing
Automated Backup & Disaster Recovery
NiFi Configuration Management & Version Control
Flow
Optimization
NiFi
Registry
Data
Encryption
MiNiFi
Resource Usage Reports
Role-Based Access Control with Ranger
Integration Support for Kafka, Spark, RDBMS, NOSQL, etc.
NiFi Audit
Logging
Deployment of Custom Processors
Our exclusive video library shows you the speed, simplicity, and power of UI-driven NiFi data flow
deployment across environments.
Smarter NiFi Data Flow Deployment, Zero Hassle
A user-friendly, intuitive interface enables the deployment of NiFi data flows with just a click, eliminating the need for Ansible scripts.
UI-driven NiFi data flow deployments reduce human errors and prevent flow configuration inconsistencies, maintaining data integrity.
Automated NiFi data flow deployments maintain uniform data across all environments, reducing costly inconsistencies.
Tailor the solution to your unique business needs, while keeping costs low.
Reduce operational costs and resource usage by eliminating manual processes and errors.
Effortlessly scale data operations as your business grows, without added complexity or downtime.
Testimonials
Automate NiFi data flow deployments, reduce downtime, and drive smarter data operations – all with Data Flow Manager.
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