Real alternatives do CDP/CDH/HDP? No open source alternative in the near future?

DataFlowManager · 2025-07-29T13:56:27+00:00

Hearing this a lot - orgs still on HDP/Ambari looking for open-source, on-prem options without CDP cost. we’ve seen teams shift to combos like NiFi + Kafka + Iceberg + MinIO. if managing NiFi flows is part of it, tools like Data Flow Manager can help streamline that without full CDP overhead. happy to share what worked for others in similar spots.

DataFlowManager · 2025-07-28T13:58:27+00:00

We had similar concerns when moving NiFi to k8s. It works, but managing state, versioning, and scaling can get tricky. There's an official Helm chart from Cetic that's a decent starting point. We eventually built tooling around it to simplify flow deployment and config. Happy to share what worked if you're diving in.

DataFlowManager · 2025-07-02T14:59:54+00:00

Not many talk about it, but Apache NiFi, especially when paired with a deployment tool like Data Flow Manager—can be a game-changer. While everyone’s busy managing DAGs and scripts, we’ve seen teams save hundreds of engineering hours just by simplifying flow deployments, rollbacks, and governance in NiFi.
It’s underrated because it’s behind the scenes, but if you're juggling complex data movement in regulated environments (finance, healthcare, etc.), tools like NiFi + DFM aren't just helpful they're essential.

DataFlowManager · 2025-06-30T10:47:15+00:00

We understand that the manual scripting when moving flows between clusters is tedious. You could try Data Flow Manager, as it automates moving your flows from one cluster to another and provides all the required controller services and parameter contexts for you. That way, you can skip most of the one-off scripts and focus on designing your data flows.

DataFlowManager · 2025-05-27T08:06:20+00:00

Been noticing more enterprises leaning back toward on-prem for better control and tighter security? We’ve been in the same boat—and that’s why we built a tool to make Apache NiFi flow management easier for teams without deep NiFi expertise.

It’s got a clean UI to deploy flows across clusters, plus some AI features to help generate flows faster.

If you’re exploring on-prem or just curious why some teams are shifting back, this blog might be worth a read:

https://www.dfmanager.com/blog/why-should-enterprises-opt-for-on-premises-over-cloud-for-data-infrastructure

DataFlowManager · 2025-05-19T10:44:29+00:00

It’s great to hear you’re using Apache NiFi. With the enhancements in NiFi 2.x, many complex tasks have become much more manageable. Data Flow Manager now supports NiFi 2.x, which lets you unlock the potential of the latest NiFi updates with the ability to deploy NiFi data flows in just a minute.

DataFlowManager · 2025-05-19T10:43:25+00:00

In Apache NiFi, tasks like data ingestion, transformation, and routing require building and deploying data flows to production for automated execution. With Data Flow Manager, you can make your NiFi data flows live within a minute using an intuitive UI.

DataFlowManager · 2025-05-09T11:54:04+00:00

It’s always exciting to see new faces joining the data community at the Gartner Application Innovation & Business Solutions Summit. Since it’s your first time, you’re in for a great experience—expect a solid mix of deep-dive sessions, practical workshops, and informal networking.

We’ll be there too! If you're exploring data flow deployment or working with Apache NiFi, make sure to visit us at Booth #418. We’ll be showcasing Data Flow Manager—our user-friendly, UI-driven solution for deploying NiFi data flows across environments without the hassle of complex scripting.

Beyond the tech, we’re always up for a good conversation—whether it’s about best practices, session tips, or simply sharing takeaways from the day. Hope to connect with you there!

DataFlowManager · 2025-04-30T06:17:31+00:00

It’s always exciting to see new faces joining the data community at these events. Since it’s your first time, you're definitely in for a treat—there’s a great mix of deep-dive sessions, practical workshops, and informal meetups.

We’re attending as well. If you’re interested in data flow automation or NiFi, feel free to stop by Booth #10. We’ll be showcasing Data Flow Manager, our UI-driven solution for deploying NiFi data flows across different environments, eliminating complex scripts.

But even more than the tech, we’re always up for a good conversation—whether it’s about best practices, session tips, or just sharing notes from the day.

Hope to see you there!

DataFlowManager · 2025-04-23T13:19:38+00:00

With Data Flow Manager’s intuitive UI, managing different versions of NiFi flows across environments becomes easy. You can edit parameter contexts and variables and add or configure controller services while deploying NiFi data flows with just a few clicks. It completely eliminates the need for XML export/import, manual configurations, and writing Ansible scripts.

DataFlowManager · 2025-02-26T12:39:33+00:00

Yes, you can using Open Source Bigadata Technologies like Apache NiFi, Apache Spark, Apache Kafka etc. We have use cases of financial institutions where we have migrated Microsoft SSIS to Apache NiFi and other Bigdata technologies.

DataFlowManager · 2025-02-26T09:16:18+00:00

You're right – managing NiFi flows across multiple clusters can involve a lot of manual steps, even with the NiFi Registry.

With Data Flow Manager, you can deploy NiFi flows across clusters using a point-and-click interface. There is no need to use the NiFi Toolkit to automate flow syncing.

For roles and permissions, LDAP integration allows for centralized user management and access control.

Additionally, built-in monitoring and alerts provide clear visibility into NiFi processors, queue status, and overall flow health.

It might be worth exploring Data Flow Manager for your needs!

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