Apache Airflow vs OpenText ProVision comparison

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13,533 views|9,821 comparisons
96% willing to recommend
OpenText Logo
244 views|159 comparisons
66% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Apache Airflow and OpenText ProVision 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. OpenText ProVision Report (Updated: April 2024).
769,630 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:
Pros
"The initial setup was straightforward and it does not take long to complete.""It's stable.""Every feature in Apache Airflow is valuable. The number of operators and features I've used are mainly related to connectivity services and integrated services because I primarily work with GCP.""The most valuable feature of Apache Airflow is creating and scheduling jobs. Additionally, the reattempt at failed jobs is useful.""Since the solution is programmatic, it allows users to define pipelines in code rather than drag and drop.""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.""The tool is user-friendly.""Development on Apache Airflow is really fast, and it's easy to use with the newer updates. Everything is in Python, so it's not hard to understand. They also have a graphical view, so if you are not a programmer and you are just an administrator, you can easily track everything and see if everything is working or not."

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"The stability of the product is very good.""OpenText ProVision's best feature is the capability to attach a variety of attributes and extract and analyze that information.""All the features come as part of a standard license."

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Cons
"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.""We cannot run real-time jobs in the solution.""I have some issues with the solution's communication.""There is a need for more features on experimental evolution steps.""The solution could be improved by simplifying the integration process.""Airflow should support the dynamic drag creation.""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.""The problem with Apache Airflow is that it is an open-source tool. You have to build it into a Kubernetes container, which is not easy to maintain, and I find it to be very clunky."

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"Integrating with or interfacing with other tools like data management tools would be very helpful.""Lacks the ability to have your own in-house developments.""OpenText ProVision's collaboration management is quite complicated and difficult to use."

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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."
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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:OpenText ProVision's best feature is the capability to attach a variety of attributes and extract and analyze that information.
    Top Answer:OpenText ProVision's collaboration management is quite complicated and difficult to use. In the next release, OpenText ProVision should combine intelligence capability with process modeling.
    Ranking
    Views
    13,533
    Comparisons
    9,821
    Reviews
    22
    Average Words per Review
    492
    Rating
    8.0
    Views
    244
    Comparisons
    159
    Reviews
    1
    Average Words per Review
    197
    Rating
    5.0
    Comparisons
    Also Known As
    Airflow
    Metastorm ProVision
    Learn More
    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.”

    OpenText’s MIM (formerly Metastorm Integration & Managed File Transfer) solution provides a single platform for you to manage both batch and real-time, system-based integrations and processes complete with an audit trail to ensure operational success. With OpenText MIM, your organization can: Track high volume transaction and data transfers and file content from a centralized dashboard Ensure corporate data and auditing compliance requirements Enhance agility and visibility into end-to-end process activities at the system, data and human interaction levels Tie legacy systems into new SOA environments Simplify interactions with your existing legacy systems and data by integrating them into your improved business processes
    Sample Customers
    Agari, WePay, Astronomer
    Delta Technology, Export Development Canada, Rompetrol, Salt River Project, AMEC, U.S. Air Force, HP Consulting & Integration
    Top Industries
    REVIEWERS
    Comms Service Provider21%
    Financial Services Firm21%
    Media Company16%
    Pharma/Biotech Company5%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company14%
    Manufacturing Company7%
    Retailer5%
    VISITORS READING REVIEWS
    Energy/Utilities Company17%
    Financial Services Firm16%
    Computer Software Company12%
    Government8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise6%
    Large Enterprise65%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise15%
    Large Enterprise70%
    Buyer's Guide
    Apache Airflow vs. OpenText ProVision
    April 2024
    Find out what your peers are saying about Apache Airflow vs. OpenText ProVision and other solutions. Updated: April 2024.
    769,630 professionals have used our research since 2012.

    Apache Airflow is ranked 2nd in Business Process Management (BPM) with 31 reviews while OpenText ProVision is ranked 35th in Business Process Management (BPM) with 3 reviews. Apache Airflow is rated 8.0, while OpenText ProVision is rated 6.4. 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 OpenText ProVision writes "Good attribute attachment but problems with collaboration". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, IBM Business Automation Workflow and AWS Step Functions, whereas OpenText ProVision is most compared with ARIS BPA, Visio, Sparx Systems Enterprise Architect and SAP Signavio Process Manager. See our Apache Airflow vs. OpenText ProVision 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.