Apache Airflow vs Informatica Cloud API and App Integration comparison

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13,927 views|10,035 comparisons
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1,309 views|1,094 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Apache Airflow and Informatica Cloud API and App Integration based on real PeerSpot user reviews.

Find out in this report how the two Business Process Management (BPM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Apache Airflow vs. Informatica Cloud API and App Integration Report (Updated: April 2024).
768,415 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"Its user-friendly interface makes it straightforward to operate, offering a plethora of features for data preparation, buffering, and format conversion.""The solution is flexible for all programming languages for all frameworks.""The solution's UI allows me to collect all the information and see the code lines.""This is a simple tool to automate using Python.""Since it's widely adopted by the community, Apache Airflow is a user-friendly solution.""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.""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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"The application integration will give you more flexibility when dealing with APIs.""The OAuth feature is the most valuable feature for authentication.""The interface has a great look and feel, and the functionality is so easy.""The interface is really good."

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"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.""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.""We cannot run real-time jobs in the solution.""We're currently using version 1.10, but I understand that there's a lot of improvements in version 2. In the earlier version that we're using, we sometimes have problems with maintenance complexity. Actually using Airflow is okay, but maintaining it has been difficult.""The automation capabilities could be improved; a visual workflow designer and a graphical tool to reduce coding would be very helpful. But for now, it's sufficient for our simple workflows.""It would be beneficial to improve the pricing structure.""Apache Airflow could be improved with the addition of more frameworks."

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"There's no direct way to connect to Amazon APIs from Informatica Cloud.""There could be a lot more application integration.""The setup is complex.""The pricing model is problematic."

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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 →

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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:Comparatively, other services are providing a lower price, but since moving from Informatica on-prem to IICS, the pricing factor is much better. So when we compare two platforms of the same vendor… more »
    Top Answer:There are a few improvements which can be done. So those are on data governance and making an image of each object that is being created on top of Informatica, I mean, on top of applications. So those… more »
    Average Words per Review
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    Also Known As
    Cloud Application Integration, Cloud Application Integration, Cloud Extend, Informatica API and Application Integration
    Learn More

    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.”

    Informatica Cloud’s Application Integration solution creates business processes that accelerate business response times, dramatically increase business efficiency and improves user effectiveness - all without writing a single line of code.

    Sample Customers
    Agari, WePay, Astronomer
    Carbonite, Education Elements
    Top Industries
    Comms Service Provider21%
    Financial Services Firm21%
    Media Company16%
    Pharma/Biotech Company5%
    Financial Services Firm22%
    Computer Software Company14%
    Manufacturing Company7%
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company11%
    Insurance Company9%
    Company Size
    Small Business29%
    Midsize Enterprise6%
    Large Enterprise65%
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    Small Business11%
    Midsize Enterprise15%
    Large Enterprise74%
    Buyer's Guide
    Apache Airflow vs. Informatica Cloud API and App Integration
    April 2024
    Find out what your peers are saying about Apache Airflow vs. Informatica Cloud API and App Integration and other solutions. Updated: April 2024.
    768,415 professionals have used our research since 2012.

    Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while Informatica Cloud API and App Integration is ranked 19th in Business Process Management (BPM) with 4 reviews. Apache Airflow is rated 8.0, while Informatica Cloud API and App Integration is rated 8.6. 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 Informatica Cloud API and App Integration writes " Provides data governance and offer good scalability, with a significant performance boost when moving from on-prem to the cloud". Apache Airflow is most compared with Camunda, IBM BPM, IBM Business Automation Workflow, AWS Step Functions and Bizagi, whereas Informatica Cloud API and App Integration is most compared with Appian, Pega BPM, ARIS Cloud and Camunda. See our Apache Airflow vs. Informatica Cloud API and App Integration 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.