Features that Simplify, Secure, and Scale Your Data Pipelines
Scheduled Deployments & Approval
Schedule data flow deployments during off-business hours to
avoid disruptions. Maintain control over data flows with
built-in admin approvals.
Activity and Process Group-Level Monitoring
Track and monitor every activity related to data flows with
detailed insights at the process group level for better
control and performance.
Automatic Creation of Controller Services
Simplify the data flow deployment process by enabling the
automatic creation of controller services within your data
flows.
Granular Access Roles and Permissions
Define user-specific roles and permissions to provide
precise access to clusters, ensuring each user has the
appropriate access based on their responsibilities.
LDAP Integration
Seamlessly integrate with LDAP for improved authentication
and centralized user management, ensuring secure and
efficient access control.
Ready-To-Use Flows
Choose from a collection of preconfigured data flows,
including transfers from Kafka to PostgreSQL and MongoDB to
PostgreSQL, to save time and effort.
Create Data Flows with GenAI
Simply enter the source, destination, and a natural language
description to instantly generate data flows – no manual
configuration required.
Centralized Cluster Management
Manage all your clusters from a single dashboard. Reduce
administrative overhead and streamline monitoring in
multi-cluster environments.
Real-Time Dashboard
Access a user-friendly dashboard that provides real-time
insights into key performance indicators (KPIs), helping you
monitor the health and efficiency of your data flows.
See How We’re Empowering Businesses Across Industries
The Impact of Data Flow Manager
Without DFM
With DFM
What Data Flow Manager Users Experience
50%
Reduction in data flow
deployment time
Improved scalability by
easily managing data
flows across 10+
environments
30%
Improvement in
operational efficiency
Less downtime during
flow upgrades
Simplify Data Flow Deployments, Unlock Greater Value
With automated data flow deployment, you’re not just adopting a tool – you’re embracing a smarter way to run your business.
Effortless Data Flow Deployments, Maximum Impact
Spend less time configuring and more time scaling your business.
Free Your Team from Repetitive Tasks
Focus on innovation to seize new business opportunities & accelerate growth.
Eliminate Human Error, Guarantee Precision
Trust that your flows will be executed flawlessly every time, boosting reliability.
Real-Time Insights into Data Flows: Control at Your Fingertips
Stay ahead of potential issues and optimize performance across your data flows.
Customization at a Fraction of the Cost
Get the tool tailored to your business requirements without spending high costs.
Get More with Less: Optimize Resource Efficiency
Utilize your resources wisely, leaving you with more capital for innovation.
Transforming Data Operations across Industries
Telecom
Shipping
Cable
BFSI
E-Commerce
E-Tender
Experience faster, smoother, and more efficient data
operations with Data Flow Manager!
operations with Data Flow Manager!
Frequently Asked Questions
What is Data Flow Manager?
Data Flow Manager is a robust UI-based tool to streamline data flow management
across Apache NiFi clusters. With the point-and-click interface, it simplifies the deployment &
promotion of data flows from one cluster to another. Simply put, Data Flow Manager simplifies the
transfer of NiFi workflows across environments, from development to production.
What are the benefits of data flow deployment automation?
Data flow deployment automation saves significant time, improves operational
efficiency, accelerates data operations, reduces manual errors, improves data quality, and optimizes
resource utilization.
How does data flow deployment automation work?
To deploy a particular data flow, first log in to the respective cluster. Under the Process
Groups tab:
- Click the Deploy button on the top-right corner.
- Choose Bucket and Flow Name.
- Decide whether or not to keep the existing Parameter Contexts.
- Select the flow version and continue.
Can I deploy custom data workflows?
Yes, you can deploy custom data workflows in Data Flow Manager. To do this, you need to manually add
their binary files to the respective cluster where the processors will be used.
Why choose Data Flow Manager?
Data Flow Manager comes with out-of-box-features – schedule flow deployments &
approval, track data flow activities at the process group level, centralize user management with LDAP
integration, define user roles & permissions, generate data flows using GenAI, ready-to-use data
flows, and track KPI with a unified dashboard.
What is the difference between manual and automated data flow deployments?
Manual data flow deployment requires you to export the data flow from one cluster,
save it locally, and import it to the target cluster. In addition, it involves configuring flow
parameters and variables unique to the target cluster. The manual approach is time-consuming and
error-prone. On the contrary, the automated data flow deployment using Data Flow Manager eliminates
this manual process and simplifies it with a point-and-click interface.
Achieve Operational Agility & Scalability
while Minimizing Overhead with Data
Flow Manager!
while Minimizing Overhead with Data
Flow Manager!
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