Apache NiFi Reviews & Product Details

The best thing about Apache NiFi is it is one of the open-source tool which provides a large number of source to connect with and also provide the flexible options to schedule the ETL jobs easily Review collected by and hosted on G2.com.

What I don't like about Apache NiFi is it's GUI. It is elementary and can be in a better way. I feel complicated. Review collected by and hosted on G2.com.

Ease of use and solves complex batch & RT issues Review collected by and hosted on G2.com.

The nifi tool is too good and comes for free Review collected by and hosted on G2.com.

If you would like to remove boiler plate code from your application, Apache NIFI is the best tool available. Review collected by and hosted on G2.com.

There is always an issue with debugging past events on NIFI Review collected by and hosted on G2.com.

Web Server -

Flow Controller -

Extensions - (plugins)

FlowFile repository -

Content repository -

Provenance repository - Review collected by and hosted on G2.com.

Tracking lineage at a row level is important in data lake ingestion implementation.

Can Lineage be controlled at per-row level?

Batch transformation performance.

Need to Benchmark.

May require Kafka Review collected by and hosted on G2.com.

Nifi helps to Move data between disparate systems. It is data source agnostic and supports sources of different formats, schemas, protocols, speeds, and sizes. Nifi enables tracking data flows from beginning to end. Nifi Enables dynamic prioritization of flows, modification of flows at runtime, and back pressure thresholds, which specify amount of data that may exist in the queue, to avoid overrunning the system with data. NiFi supports SSL, SSH, HTTPS, encrypted content. Ability to quickly ingest data (particularly streaming data), fork data sources to multiple applications (HDFS / Spark etc) with a strong audit trail. I like NiFi's web based user interface and highly configurable. Review collected by and hosted on G2.com.

It is hard to monitor in NiFi. provisioning and monitoring the mirror maker process can be hard. One need to monitor the metrics coming from mirror maker to see if there is any lag or no data being produced into target cluster. Most recent version of Java was not used and there are configuration and comparability issues. Review collected by and hosted on G2.com.

Possibility to ingest different sources (aws, hdfs ..), very good for converting data into multiple formats (avro, parquet, xml..) Review collected by and hosted on G2.com.

Not very good for analytical processing, data processing, compatibility with few programming languages. Review collected by and hosted on G2.com.

Robust and fast, usable for a variety of cases and contexts. Better than Camel and excellent for moving your data around. Records the lineage of data through the system! Did I mention it started as NSA tech? This software definitely gives you what you put into it and is tremendously customizable once you get a feel for how to use it. Beyond that, it's secure and proven to perform under high stress application! It's hard to stress how much work would be involved in developing a similar software solution on your own and that makes this perfect if you're looking for a robust and multi-faceted piece of software that can be customized in many ways. Review collected by and hosted on G2.com.

You might need more detail of tracking message lineage. You get what you put into it and while relatively easy to use and tremendously configurable, it may not suit your needs out of the box. If what you're looking for is something that is less robust and performs one of the single functions NiFi is used for, you might do better with something prepackaged or better off using a consultant to help you master the finer points and features. Review collected by and hosted on G2.com.

I like the power and customization abilities of NiFi. I'm able to bring data in from various sources with the ability to customize how and how often the data is imported, and then manipulate the data from within NiFi before sending it to whatever application will process the data further. Review collected by and hosted on G2.com.

The learning curve is steep and the developer community is small. That makes certain tasks unintuitive and difficult to figure out. This is probably because NiFi is a niche tool. The documentation exists, but sometimes leaves a lot to wonder, and I've sometimes resorted to checking out GitHub commits and Jira tickets to find answers. Review collected by and hosted on G2.com.

NiFi provides a very good GUI that we have used for configuration and thereafter monitor data workflows and its ability to use java data came as a big advantage for us. It is easy to install and monitor workflows/dataflows and also ingestion using graphs. Review collected by and hosted on G2.com.

It would be very nice if there was support for stateful operations for which data has to be looked up from look up tables or from other data flows within the organization. In addition, at times we had to write additional scripts for binary data workflow as we found the product to be somewhat lacking for this. Review collected by and hosted on G2.com.

The flexibility in developing complex data flows built-in buffering, easy expression language, to be able to run on cloud, on-premise at the edge virtualized or containerized Review collected by and hosted on G2.com.

Lack of open source cdc processors for some databases Review collected by and hosted on G2.com.