Apache Airflow vs Camunda comparison

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13,533 views|9,821 comparisons
96% willing to recommend
Camunda Logo
32,793 views|19,869 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Apr 28, 2022

We performed a comparison between Apache Airflow and Camunda Platform based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: Most Apache Airflow users say the initial setup is complex. Some Camunda Platform users say the initial setup is straightforward, while others feel it is complex.

  • Features: Users of both products are happy with their stability and integration capabilities. Apache Airflow users like its new UI but mention scalability limitations. Camunda Platform users say it is lightweight, flexible, scalable, and user-friendly. Several Camunda Platform users note that its user interface should be enhanced.

  • Pricing: Apache Airflow users say that the pricing of the product is reasonable. Some Camunda Platform users feel that the price of the solution is fair, while others feel that its price is too high.

  • Service and Support: Users of both solutions have mixed reviews for the level of support they receive. Some users are satisfied with the support while others say it could be improved.

Comparison Results: Camunda Platform has an edge over Apache Airflow in this comparison. It is easier to deploy and is scalable and robust. However, Apache Airflow users are overall more satisfied with the pricing of the product.

To learn more, read our detailed Apache Airflow vs. Camunda Report (Updated: April 2024).
771,862 professionals have used our research since 2012.
Q&A Highlights
Question: Which would you choose - Camunda Platform or Apache Airflow?
Answer: 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 quickly. Camunda Platform is very stable, with a free open-source version that is very good. The automation is great. Camunda Platform can be challenging regarding the initial setup, though, and it seems to take a long time for completed workflows to be implemented. The learning curve for this Camunda Platform can be pretty steep. A mobile app would be a welcome enhancement. Process interfaces between diagrams could be improved and better template options would be welcomed. Apache Airflow integrates well with other pipelines and solutions. We like the direct support we get from Python using Apache Airflow. This makes work and automation much easier. Apache Airflow handles complex workflows and coordination of tasks easily. We can use it to manage large-scale data processing workloads using DAG, which is a core component of Apache Airflow. Using Apache Airflow is okay, but managing it has its challenges. We would expect better scaling, especially since it is on the cloud. Apache Airflow is also not a great solution for those who are not tech-savvy. (It is not for business-end users.) Conclusion: Both of these solutions require some level of technical expertise to implement and manage, which is something to keep in mind. We felt Apache Airflow offered better integration with the solutions we are currently using. We have a solid relationship currently with Python and are using many solutions that make Apache Airflow the best choice for us.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse processes.""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 the solution is programmatic, it allows users to define pipelines in code rather than drag and drop.""The best feature is the customization.""Its user-friendly interface makes it straightforward to operate, offering a plethora of features for data preparation, buffering, and format conversion.""I like the UI rework, it's much easier.""The reason we went with Airflow is its DAG presentation, that shows the relationships among everything. It's more of a configuration-driven workflow.""The product is stable."

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"It is an absolutely stable solution.""Having knowledge of the BPM and monitoring process has proven to be very beneficial, as I am currently engaged in documenting processes for Clientele.""I've found the active community most valuable but it also provides you with a lot of other features.""I like everything about the entire BPM that comes with the BPM suite.""Camunda is a scalable product.""The Camunda BPMN Platform is very flexible and gives several options to deploy and scale it.""The interface and the number of connectors that they provide are the most valuable features. The support here, it's kind of okay. But the main thing is with the number of connectors and the UI, the user interface.""The solution is easily compatible with HTML forms and HTML language programming and that is the most significant part."

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"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.""I have some issues with the solution's communication.""The solution could be improved by simplifying the integration process.""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.""Apache Airflow should have better integration with cloud platforms.""Apache Airflow could be improved with the addition of more frameworks.""The graphical user interface can be improved.""I would like to see some no-code capabilities and drag and drop abilities in Airflow."

More Apache Airflow Cons →

"When addressing a complex and extensive process, the domain it belongs to, be it banking, healthcare, or HR, requires widespread access.""Process interfaces between diagrams could be improved.""There should be a multi-tenant solution for the platform where it supports multiple organizations on one platform instead of having to spin up multiple clusters for each organization. There should be an easy way to integrate different departments into one platform without having to operate multiple platforms. The operations should be easier with the enterprise solution. It should not create more overhead for the operations people.""Collaborations and process documentation in Camunda Platform are areas with shortcomings that need improvement.""I would like to see the forms engine available in the open-source version of this solution.""In the future, I would like to see better transactional integrity.""The GUI needs to be improved, with more configuration options.""The solution's pricing and scalability could be improved."

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Pricing and Cost Advice
  • "Apache Airflow is a free solution that can be downloaded and ready for use at any moment."
  • "The pricing for the product is reasonable."
  • "Although Airflow is open source software, there's also commercial support for it by Astronomer. We personally don't use the commercial support, but it's always an option if you don't mind the extra cost."
  • "We are using the open-source version of Apache Airflow."
  • "We use a community edition of Apache Airflow. It is open source and free."
  • "Apache Airflow is open-source and free of charge."
  • "It's open-source."
  • "The solution is open source so is free."
  • More Apache Airflow Pricing and Cost Advice →

  • "It is less cost-prohibitive than other solutions on the market. This solution was in our price range."
  • "We are using the open-source version of this solution."
  • "Camunda is much cheaper."
  • "I use the open-source free version."
  • "The open-source version of the product is free to use."
  • "The cost of this solution is better than some competing products."
  • "Licensing costs are anywhere from $80,000 to $100,000 USD per year."
  • "We use the open-source version, which can be used at no cost."
  • More Camunda Pricing and Cost Advice →

    Use our free recommendation engine to learn which Business Process Management (BPM) solutions are best for your needs.
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    Questions from the Community
    Top Answer: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… more »
    Top Answer: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.
    Top Answer:One of the things we like best about Bonita is that you can create without coding - it is a low-code platform. With Bonita, you can build the entire mechanism using the GUI, it’s that simple. You can… more »
    Top Answer:Appian is fast when building simple to medium solutions. This solution offers simple drag-and-drop functionality with easy plug-and-play options. The initial setup was seamless and very easy to… more »
    Top Answer:The solution is useful for small projects.
    Average Words per Review
    Average Words per Review
    Also Known As
    Camunda BPM
    Learn More
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    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.”

    Camunda enables organizations to orchestrate processes across people, systems, and devices to continuously overcome complexity and increase efficiency. A common visual language enables seamless collaboration between business and IT teams to design, automate, and improve end-to-end processes with the required speed, scale, and resilience to remain competitive. Hundreds of enterprises such as Atlassian, ING, and Vodafone orchestrate business-critical processes with Camunda to accelerate digital transformation. To learn more visit camunda.com.

    Sample Customers
    Agari, WePay, Astronomer
    24 Hour Fitness, Accruent, AT&T Inc., Atlassian, CSS Insurance, Deutsche Telekom, Generali, Provinzial NordWest Insurance Services, Swisscom AG, U.S. Department of Veterans Affairs, VHV Group, Zalando
    Top Industries
    Comms Service Provider21%
    Financial Services Firm21%
    Media Company16%
    Pharma/Biotech Company5%
    Financial Services Firm22%
    Computer Software Company14%
    Manufacturing Company7%
    Computer Software Company22%
    Financial Services Firm18%
    Comms Service Provider12%
    Financial Services Firm26%
    Computer Software Company13%
    Manufacturing Company6%
    Insurance Company6%
    Company Size
    Small Business28%
    Midsize Enterprise6%
    Large Enterprise66%
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    Small Business48%
    Midsize Enterprise20%
    Large Enterprise33%
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise69%
    Buyer's Guide
    Apache Airflow vs. Camunda
    April 2024
    Find out what your peers are saying about Apache Airflow vs. Camunda and other solutions. Updated: April 2024.
    771,862 professionals have used our research since 2012.

    Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while Camunda is ranked 1st in Business Process Management (BPM) with 71 reviews. Apache Airflow is rated 8.0, while Camunda is rated 8.2. The top reviewer of Apache Airflow writes "Enable seamless integration with various connectivity and integrated services, including BigQuery and Python operators ". On the other hand, the top reviewer of Camunda writes "Open-source, easy to define new processes, and easy to transition to new business process definitions". Apache Airflow is most compared with Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow, AWS Step Functions and Bizagi, whereas Camunda is most compared with Bizagi, Pega BPM, IBM BPM, Appian and Bonita. See our Apache Airflow vs. Camunda report.

    See our list of best Business Process Management (BPM) vendors.

    We monitor all Business Process Management (BPM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.