Apache Airflow vs Newgen OmniFlow comparison

Apache and Newgen are both solutions in the Business Process Management (BPM) category. Apache is ranked #4 with an average rating of 8.3, while Newgen is ranked #33. Apache holds a 3.4% mindshare in BPM, compared to Newgen’s 1.0% mindshare. Additionally, 97% of Apache users are willing to recommend the solution, compared to 100% of Newgen users who would recommend it.

Apache Airflow

Read 41 Apache Airflow reviews

4,667 Views
4,620 Comparison Views

97% willing to recommend

Newgen OmniFlow

Read 8 Newgen OmniFlow reviews

1,125 Views
1,080 Comparison Views

100% willing to recommend

Apache Airflow

Newgen OmniFlow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

Newgen OmniFlow and Apache Airflow are competing products in the workflow automation category. Apache Airflow appears to have the upper hand due to its robust features and scalability, although Newgen OmniFlow is noted for its strong customer support and pricing strategies.

Features: Newgen OmniFlow offers powerful process automation with seamless integration across multiple platforms, low-code no-code designer tools, and comprehensive document management capabilities. Apache Airflow provides a rich ecosystem for managing complex workflows, utilizing a Python-based configuration, advanced orchestration tools, and extensive monitoring capabilities.

Room for Improvement: Newgen OmniFlow could improve by enhancing its deployment flexibility, expanding its community support, and further reducing implementation time. Apache Airflow needs to improve its centralized customer support, simplify its initial setup process for new users, and enhance its visual interface for less technical stakeholders.

Ease of Deployment and Customer Service: Newgen OmniFlow benefits from a straightforward deployment process and comprehensive customer support to ensure smooth implementation. Apache Airflow, although equipped with extensive documentation for open-source deployment, lacks centralized customer support, relying instead on community-driven assistance.

Pricing and ROI: Newgen OmniFlow generally requires a higher initial setup cost but promises robust ROI through tailored solutions across various industries. Apache Airflow's open-source model minimizes initial costs, offering scalability and flexibility as economic benefits, leading to long-term returns when effectively managed.

To learn more, read our detailed Apache Airflow vs. Newgen OmniFlow Report (Updated: March 2026).

Buyer's Guide

Apache Airflow vs. Newgen OmniFlow

March 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Apache Airflow

Ranking in Business Process Management (BPM)

4th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Newgen OmniFlow

Ranking in Business Process Management (BPM)

33rd

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Business Process Management (BPM) category, the mindshare of Apache Airflow is 3.4%, down from 6.9% compared to the previous year. The mindshare of Newgen OmniFlow is 1.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Business Process Management (BPM) Mindshare Distribution
Product	Mindshare (%)
Apache Airflow	3.4%
Newgen OmniFlow	1.0%
Other	95.6%

Business Process Management (BPM)

Featured Reviews

reviewer2754210

Administrator at a tech vendor with 201-500 employees

Open workflows have simplified data ingestion and curation but still need better UI and scheduler resilience

I think there could be improvements or enhancements in Apache Airflow in terms of having a better UI experience. The UX can be done a bit better. The web interface of Apache Airflow has helped me in tracking and troubleshooting since I'm operational and part of the operational side of Apache Airflow. Mostly, I go into the logs of the web server and scheduler to check what's happening in the back-end instead of looking at the front-end. The UI can give errors related to pipelines, but it can be more improved if we get errors related to import errors and scheduling errors. These areas can be improved. Other than a better UI experience, I would want to see improvements in the scheduler. Sometimes, for user-made mistakes, the scheduler goes down. I experienced this issue and I'm not sure whether it got fixed right now or not. If a user is building a data pipeline in Apache Airflow and a user makes a mistake in their code, that makes the scheduler go down and eventually Apache Airflow goes down. That is not what is expected. If that gets fixed, then it can do wonders.

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Chhavi Datta

Senior Manager at Infoedge India Ltd.,

Enabled us to consolidate workflows and reduce time spent searching for transactions

We have consolidated the workflow and have certain elements and functionalities developed in the new system so that my agents who are using the application don't have to do manual tasks searching for mail. So, we've consolidated and arranged some alerts and have done some segregation. The user is benefited, and the time spent on searching a transaction is reduced.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot."

"Since it's widely adopted by the community, Apache Airflow is a user-friendly solution."

"I definitely recommend Apache Airflow and would rate it nine out of ten."

"The user interface for monitoring and managing workflows has been excellent, particularly in the latest version. c"

"I found the following features very useful: DAG - Workload management and orchestration of tasks using."

"To increase efficiency, it's quite simple to add dbt tasks to an Apache Airflow pipeline or orchestration file. With the tool, you can specify dependencies."

"We have been quite satisfied with the stability of the solution."

"The most valuable feature of Apache Airflow is creating and scheduling jobs. Additionally, the reattempt at failed jobs is useful."

More Apache Airflow pros

"They are a good team that is proactive, and they are trying to accommodate all of our requirements."

"The most valuable feature is the flexibility in using it."

"The integration capabilities of Newgen OmniFlow are excellent due to its ready APIs, enabling easy API creation for consumption across different systems."

"The most valuable feature for us is the Omnicon. That made sense for us because our company is now able to capture information from documents."

"It is working fine so far. I haven't heard anything bad about it from the applications team that is using it, so I assume that it is doing okay."

"The most valuable features of Newgen OmniFlow are the user interface, the low-code no-code designer tools, and the integration models are important."

"The UI is easy. It's not very code based, so you can make certain changes on your end."

"Newgen will structure the system based on all the requirements of the business. We can design the forms as complex forms or make our own versions to fix what's wrong."

Cons

"There is a minor issue with the manual work in Airflow, as everyday activities are managed manually. There is no dashboard for us to check all the Directed Acyclic Graphs (DAGs); a dashboard would help us analyze the work better."

"For admins, there should be improved logging capabilities because Apache Airflow does have logging, but it's limited to some database data."

"We have faced scenarios where Apache Airflow becomes non-responsive, leading to job failures. To resolve such situations, we had to manually reboot Apache Airflow since it doesn't provide an option to restart within the application. This necessitated modifying some configurations to initiate a restart of all Apache Airflow components. Although Apache Airflow is generally dependable, it may occasionally encounter glitches that can disrupt production flows and batches."

"I would like to see it more friendly for other use cases."

"There is an area for improvement in onboarding new people. They should make it simple for newcomers. Else, we have to put a senior engineer to operate it."

"It is not suitable for real-time ETL tasks."

"I would like to see some no-code capabilities and drag and drop abilities in Airflow."

"There is a minor issue with the manual work in Airflow, as everyday activities are managed manually."

More Apache Airflow cons

"Improvement is needed in supporting the partner ecosystem."

"The development teams should be more agile and they need to have more team members."

"I would like to see more automated analytics built into the solution."

"We had consistent issues of Newgen OmniFlow crashing. It's not compatible with bounce browsers like Chrome."

"There should be some reporting and dashboarding capabilities. I don't see such capabilities built into it. Sometimes, the leadership wants to understand the business cases that we want to automate. We face a lot of challenges to justify why we are using Newgen, and we need a way to present that to the leadership. If there is something out of the box and if we can get meaningful dashboards and reporting capabilities, it would be helpful."

"In terms of stability, like every product it has its issues."

"At the system level, I would like to see things be much more flexible, especially for different document templates and introducing changes."

"Newgen OmniFlow could improve by having more out-of-the-box integration modules. It would be beneficial to have an analytics model that is not currently present."

Pricing and Cost Advice

"It's open source. You can install it locally on your own system. If you are deploying it in the production system, you normally deploy it on some cloud, such as EC2 service, which would have some cost. If you are setting up a Docker container or something for Apache Airflow yourself, which is quite easy, you can do pretty much everything online."

"Apache Airflow is a cheap solution."

"It's open-source."

"The pricing is on the higher side."

"I use the tool's open-source version."

"Apache Airflow is a cheap solution."

"Apache Airflow is open-source and free of charge."

"Apache Airflow is a free solution that can be downloaded and ready for use at any moment."

More Apache Airflow pricing and cost advice

"The on-prem solution is affordable. The cloud solution is more expensive. There are no additional costs to the standard licensing fees."

"Its price is a bit on the high side, but that's okay. From a company perspective, it is reasonable."

"Overall, this solution is very cost effective when compared to other solutions in the market."

"The price of Newgen OmniFlow is priced reasonably."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

12%

Manufacturing Company

Insurance Company

Financial Services Firm

19%

Import And Exporter

11%

Healthcare Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	4
Large Enterprise	24

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	6

Questions from the Community

Which would you choose - Camunda Platform or Apache Airflow?

Camunda Platform allows for visual demonstration and presentation of business process flows. The flexible Java-based option was a big win for us and allows for the integration of microservices very...

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What do you like most about Apache Airflow?

Apache Airflow is easy to use and can monitor task execution easily. For instance, when performing setup tasks, you can conveniently view the logs without delving into the job details.

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What is your experience regarding pricing and costs for Apache Airflow?

We don't experience issues with pricing as Apache Airflow is part of a larger platform. It is a sub-feature and not an individual purchase.

See all answers

What is your experience regarding pricing and costs for Newgen OmniFlow?

The pricing of Newgen OmniFlow is fair. That said, there is a need for standardization in pricing, rather than leaving it to the discretion of the salespeople.

See all answers

What needs improvement with Newgen OmniFlow?

Improvement is needed in supporting the partner ecosystem.

See all answers

What is your primary use case for Newgen OmniFlow?

Customers use Newgen OmniFlow for its ease of deployment, ease of use, ease of integrations, and efficiency improvement in terms of process automation. It is agile in terms of deployment to customers.

See all answers

Comparisons

Camunda vs Apache Airflow

Compared 33% of the time

IBM BPM vs Apache Airflow

Compared 10% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Apache Airflow

Compared 6% of the time

Bizagi vs Apache Airflow

Compared 6% of the time

AWS Step Functions vs Apache Airflow

Compared 4% of the time

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Pega Platform vs Newgen OmniFlow

Compared 12% of the time

Bonita vs Newgen OmniFlow

Compared 11% of the time

Oracle BPM vs Newgen OmniFlow

Compared 9% of the time

IBM BPM vs Newgen OmniFlow

Compared 9% of the time

ProcessMaker vs Newgen OmniFlow

Compared 6% of the time

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Product Reports

Buyer's Guide

Apache Airflow

March 2026

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Buyer's Guide

Newgen OmniFlow

February 2026

Download Newgen OmniFlow product report

Also Known As

Airflow

OmniFlow

Overview

Apache Airflow is an open-source workflow management system (WMS) that is primarily used to programmatically author, orchestrate, schedule, and monitor data pipelines as well as workflows. The solution makes it possible for you to manage your data pipelines by authoring workflows as directed acyclic graphs (DAGs) of tasks. By using Apache Airflow, you can orchestrate data pipelines over object stores and data warehouses, run workflows that are not data-related, and can also create and manage scripted data pipelines as code (Python).

Apache Airflow Features

Apache Airflow has many valuable key features. Some of the most useful ones include:

Smart sensor: In Apache Airflow, tasks are executed sequentially. The smart sensors are executed in bundles, and therefore consume fewer resources.

Dockerfile: By using Apache Airflow’s dockerfile feature, you can run your business’s Airflow code without having to document and automate the process of running Airflow on a server.

Scalability: Because Apache Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers, you can easily scale it.

Plug-and-play operators: With Apache Airflow, you can choose from several plug-and-play operators that are ready to execute your tasks on many third-party services.

Apache Airflow Benefits

There are many benefits to implementing Apache Airflow. Some of the biggest advantages the solution offers include:

User friendly: Using Apache Airflow requires minimal python knowledge to get started.

Intuitive user interface: The Apache Airflow user interface enables you to visualize pipelines running in production, monitor progress, and also troubleshoot issues when needed.

Easy integration: Apache Airflow can easily be integrated with cloud platforms (Google, AWS, Azure, etc).

Visual DAGs: Apache Airflow’s visual DAGs provide data lineage, which facilitates debugging of data flows and also aids in auditing and data governance.

Flexibility: Apache Airflow provides you with several ways to make DAG objects more flexible. At runtime, a context variable is passed to each workflow execution, which is quickly incorporated into an SQL statement that includes the run ID, execution date, and last and next run times.

Multiple deployment options: With Apache Airflow, you have several options for deployment, including self-service, open source, or a managed service.

Several data source connections: Apache Airflow can connect to a variety of data sources, including APIs, databases, data warehouses, and more.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Apache Airflow solution.

A Senior Solutions Architect/Software Architect says, “The product integrates well with other pipelines and solutions. The ease of building different processes is very valuable to us. The difference between Kafka and Airflow, is that it's better for dealing with the specific flows that we want to do some transformation. It's very easy to create flows.”

An Assistant Manager at a comms service provider mentions, “The best part of Airflow is its direct support for Python, especially because Python is so important for data science, engineering, and design. This makes the programmatic aspect of our work easy for us, and it means we can automate a lot.”

A Senior Software Engineer at a pharma/biotech company comments that he likes Apache Airflow because it is “Feature rich, open-source, and good for building data pipelines.”

Apache

Platform-independent, scalable Business Process Management solution that enables automation of organizational business processes. It has seamless integration abilities allowing it to be introduced into any IT infrastructure. OmniFlow is designed to ease the creation, deployment, modification and management of Business Processes with no programming effort and differentiates with other Business Process Management products through its ability to deploy rapidly to automate a complete process.

Newgen

Sample Customers

Agari, WePay, Astronomer

Rak Bank, Bank Dhofar

Buyer's Guide

Apache Airflow vs. Newgen OmniFlow

March 2026

Free Report: Apache Airflow vs. Newgen OmniFlow

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