ADONIS vs Apache Airflow comparison

BOC Group and Apache are both solutions in the Business Process Management (BPM) category. BOC Group is ranked #17 with an average rating of 8.5, while Apache is ranked #3 with an average rating of 8.3. BOC Group holds a 2.2% mindshare in BPM, compared to Apache’s 3.5% mindshare. Additionally, 90% of BOC Group users are willing to recommend the solution, compared to 97% of Apache users who would recommend it.

ADONIS

Read 8 ADONIS reviews

2,292 Views
2,223 Comparison Views

90% willing to recommend

Apache Airflow

Read 40 Apache Airflow reviews

4,422 Views
4,378 Comparison Views

97% willing to recommend

ADONIS

Apache Airflow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

ADONIS and Apache Airflow are competing products in workflow and process management. ADONIS excels in deployment and customer support due to streamlined processes and robust service, while Apache Airflow stands out with comprehensive features and advanced capabilities.

Features: ADONIS offers process modeling, optimization tools for business process management, and a user-friendly interface. Apache Airflow provides workflow automation, orchestration with strong integration, scalability, and a Python-friendly environment. ADONIS is focused on process-centric features, whereas Apache Airflow is designed for automating complex workflows.

Room for Improvement: ADONIS could enhance integration capabilities, scalability, and reduce initial setup costs. Apache Airflow can improve its learning curve, ease of setup, and user documentation. Both can benefit from enhanced community support and additional training resources.

Ease of Deployment and Customer Service: ADONIS simplifies deployment with easy integration and responsive customer support. Apache Airflow provides flexibility but requires more technical resources for setup and maintenance, leading to a steeper learning curve.

Pricing and ROI: ADONIS has a higher initial setup cost but offers a quicker ROI through efficient process management. Apache Airflow, though with lower initial costs, may incur higher total costs over time due to deployment and maintenance efforts. ADONIS provides ROI faster despite its costs, while Apache Airflow's value is more long-term with its feature-rich environment.

To learn more, read our detailed ADONIS vs. Apache Airflow Report (Updated: December 2025).

Buyer's Guide

ADONIS vs. Apache Airflow

December 2025

Download the complete report

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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

ADONIS

Ranking in Business Process Management (BPM)

17th

Average Rating

7.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Apache Airflow

Ranking in Business Process Management (BPM)

3rd

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Business Process Management (BPM) category, the mindshare of ADONIS is 2.2%, down from 2.8% compared to the previous year. The mindshare of Apache Airflow is 3.5%, down from 7.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Business Process Management (BPM) Market Share Distribution
Product	Market Share (%)
Apache Airflow	3.5%
ADONIS	2.2%
Other	94.3%

Business Process Management (BPM)

Featured Reviews

Ostap Kharysh

Product Manager & Student at University of Vienna

The tool supports university projects with effective modeling and a comprehensive toolset

The pure modeling capabilities with drag-and-drop elements for business process diagrams are excellent. The ability to move smoothly from the process landscape to the business process model diagram is appreciated. The simulation model is user-friendly, and the analysis features offer correct insights quickly. It helps me explore and identify the best candidates for automation. ADONIS supports the project hierarchy and allows collaboration through methodological reviews and comments, enhancing decision-making.

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Madhan Potluri

Head of Data at a energy/utilities company with 51-200 employees

We efficiently manage and monitor production pipelines through job resumption and error log integration

We utilize Apache Airflow for managing machine learning production pipelines. The deployment of our machine learning models takes place through Apache Airflow. We configure pipelines, decide on the frequency of recalibration, deployment, and dataset training Apache Airflow allows us to resume…

Read full review

Quotes from Members

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

Pros

"It's easy to handle the solution thanks to being drag and drop"

"It's a very complete solution."

"The best features of the system include good analytics for business processes including the calculation of time and cost."

"We haven't ever needed to take service breaks and we can scale it throughout our company without any problem."

"ADONIS supports the project hierarchy and allows collaboration through methodological reviews and comments, enhancing decision-making."

"It seems that the process mapping and modeling features are well and thoroughly covered."

"The process modeling interface of ADONIS is very comprehensive, being more complete than Camunda in terms of process documentation and process components such as risks, KPI, and other process components, making it excellent for process documentation, compliance, and repository."

"The product is useful for designing business processes and for repositories."

"The tool is user-friendly."

"Designing processes and workflows is easier, and it assists in coordinating all of the different processes."

"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."

"Since Apache works very well on Python, we can manage everything and create pipelines there."

"One of its most valuable features is the graphical user interface, providing a visual representation of the pipeline status, successes, failures, and informative developer messages."

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

"Airflow integrates well with Cloudera and effectively supports complex operations."

"Apache Airflow is a stable and flexible platform."

More Apache Airflow pros

Cons

"Rearranging things to get information from the objects and the model together to get a report out of them could be done better."

"ADONIS needs improvement mainly in user-friendliness, setup, and installations. As an administrator at that time, I found it quite difficult to manage users because I needed to open specific software, possibly Java-based, which is not web-based and should be installed first to manage the users."

"The solution is in English and we have added certain parts in Russian as this is easier for our students. It would be useful to have the system in Russian."

"This solution would be improved if 24/7 support were available."

"We have to use a different solution to automate our business processes."

"If there's no WiFi connection, you can't access ADONIS."

"There is a function to check if the model BPMN is being used correctly, but the report from the check is not always very clear."

"ADONIS needs improvement in its user interface functionality."

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

"Adding more automated components in Apache Airflow for basic things like exporting the data would be helpful."

"I want to see Apache Airflow have more integrations with more production-based databases since it is an area where the product lacks currently."

"One area for improvement would be to address specific functionalities removed in recent updates that were previously useful for our operations."

"Programmatically, it's very good, and it doesn't have any competitors, but you cannot develop anything in Airflow UI. You need to develop everything within the program. In the market, other tools have come up recently as competitors to Airflow, and they also give graphical programming options, whereas Airflow doesn't provide that feature currently. All the DAGs you want to build need to be coded in Python."

"The scalability of the solution itself is not as we expected. Being on the cloud, it should be easy to scale, however, it's not."

"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."

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

More Apache Airflow cons

Pricing and Cost Advice

"The product's pricing is medium, so I rate it a five out of ten."

"The product’s price is quite competitive."

"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."

"The solution is cheap."

"Apache Airflow is open-source and free. Hyperscalers like Google (with Composer), Azure, and AWS offer managed Airflow services."

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

"For the time being, it doesn't cost anything."

"The pricing is on the higher side."

"The solution is open source so is free."

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

More Apache Airflow pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

University

Computer Software Company

Energy/Utilities Company

Financial Services Firm

25%

Computer Software Company

14%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	3
Large Enterprise	24

Questions from the Community

What needs improvement with ADONIS?

I stopped using ADONIS because it is not capable of integrating and automating business processes for the POC. I see that Camunda is more capable for our POC project to orchestrate business process...

See all answers

What is your primary use case for ADONIS?

We are using Camunda for process modeling, some collaborations for process development, and for the process documentation repository, we use SharePoint. We have used ADONIS process modeler, not jus...

See all answers

What advice do you have for others considering ADONIS?

I have not integrated it with other products in my system because we are just using the free version. I am planning to purchase the Team version or Business plan for the initial proof of concept pr...

See all answers

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...

See all answers

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.

See all answers

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

Comparisons

SAP Signavio Process Manager vs ADONIS

Compared 24% of the time

ARIS BPA vs ADONIS

Compared 16% of the time

Camunda vs ADONIS

Compared 14% of the time

ARIS Process Governance vs ADONIS

Compared 8% of the time

Bizagi vs ADONIS

Compared 8% of the time

More ADONIS Competitors

Camunda vs Apache Airflow

Compared 36% of the time

IBM BPM vs Apache Airflow

Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Apache Airflow

Compared 7% of the time

AutomateNOW vs Apache Airflow

Compared 4% of the time

AWS Step Functions vs Apache Airflow

Compared 3% of the time

More Apache Airflow Competitors

Product Reports

Buyer's Guide

Business Process Management (BPM)

January 2026

Download ADONIS product report

Buyer's Guide

Apache Airflow

January 2026

Download Apache Airflow product report

Also Known As

No data available

Airflow

Overview

ADONIS BPM suite is users' best-rated tool for process management, analysis and optimization, trusted by SMEs and large corporations worldwide. It helps you transform your business and create competitive advantage by streamlining processes, enhancing operational efficiency, boosting transparency and creating a customer-centric organization. You can start creating your digital twin with ADONIS already today, as the cloud-based ADONIS:Community Edition is available for free. For more information please visit www.boc-group.com/en/adonis/.

BOC Group

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

Sample Customers

Trusted by small to large enterprises worldwide: ABB, Allianz, Comcast, ERGO, Emerson, Glencore, Lincoln Financial Group, Marel, Raiffeisen bank, Schroders, Southern Water, Stadt Wien, UNIQA, VAUDE, Voestalpine, Volksbank, Vorwerk

Agari, WePay, Astronomer

Buyer's Guide

ADONIS vs. Apache Airflow

December 2025

Free Report: ADONIS vs. Apache Airflow

Find out what your peers are saying about ADONIS vs. Apache Airflow and other solutions. Updated: December 2025.

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