Apache Airflow vs BIC Platform comparison

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Executive Summary

We performed a comparison between Apache Airflow and BIC Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Camunda, Pega, Apache and others in Business Process Management (BPM).
To learn more, read our detailed Business Process Management (BPM) Report (Updated: March 2024).
765,234 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
"We have been quite satisfied with the stability of the solution.""The tool is user-friendly.""The product is stable.""It's stable.""Apache Airflow is useful for workflow automation, making it capable of automating pipelines, data pipelines, and data warehouse processes.""The UI is very simple and easy to learn.""The solution is flexible for all programming languages for all frameworks.""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 product is easy to use.""The central dictionary is a valuable feature.""This is low-cost and very user friendly. A variety of models are available depending on the needs of the customer.""While this is a new product it has a mature feel from being built by a company with many years in the business."

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Cons
"We need to develop our workflow description and notations because out of the box, Apache Airflow does not provide some features that are needed.""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.""Adding more automated components in Apache Airflow for basic things like exporting the data would be helpful.""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 would be beneficial to improve the pricing structure.""I have some issues with the solution's communication.""The graphical user interface can be improved.""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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"The product needs improvement regarding the confidentiality of the domain information for the key administrator.""There's an issue with the current manual that they're working on.""The solution could improve its connectivity to other systems.""As the product is very new, some minor features are still missing, but everything is there to handle day-to-day process modeling."

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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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  • "Pricing will differ between enterprises based on needs such as customization, but the company uses a standardized algorithm for determining this."
  • "Scalability-wise, it is an expensive product."
  • More BIC Platform 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:Since it's widely adopted by the community, Apache Airflow is a user-friendly solution.
    Top Answer:The central dictionary is a valuable feature.
    Top Answer:The solution could improve its connectivity to other systems. For instance, I need new connections to KPIs. KPIs are linked to processes, I can't access the dictionary of processes to make KPIs.
    Top Answer:We use the solution for drawing the processes.
    Ranking
    Views
    14,418
    Comparisons
    10,317
    Reviews
    17
    Average Words per Review
    469
    Rating
    7.8
    Views
    1,225
    Comparisons
    943
    Reviews
    1
    Average Words per Review
    301
    Rating
    7.0
    Comparisons
    Also Known As
    Airflow
    BIC Cloud BPM, BIC Platform
    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.”

    BIC Platform delivers all-encompassing business process management. The software covers the complete lifecycle of BPM and supports strategy, design, implementation, execution and controlling of business processes.

    BIC Platform has a modular setup which allows individual adjustments. Typical deployment scenarios of BIC Platform are SAP introduction, governance, risk or compliance management, quality management or the structure of process management systems. 

    Thanks to its intuitive design, users quickly start with process modeling and manage the full process cycle up to the optimization. Comprehensive features of the software are document management, governance, review and release workflows.

    Available BIC Platform modules are Design, Governance, Portal, Monitor, Workflow and GRC. The software can be operated either as a Public Cloud, Private Cloud or On Premises. Offline modelling is possible with the web-based option.

    Further information at: 

    https://www.gbtec.com/bic-plat...

    Try BIC Cloud 30 days for free:

    https://www.gbtec.com/free-tri...

    Sample Customers
    Agari, WePay, Astronomer
    Daimler AG Siemens AG RWE Bundesministerium des Innern Uniklinikum Köln Vattenfall Ziemann Dermapharm AG Postbank LBBW EDEKA
    Top Industries
    REVIEWERS
    Comms Service Provider22%
    Financial Services Firm22%
    Media Company17%
    Pharma/Biotech Company6%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company14%
    Manufacturing Company7%
    Retailer5%
    VISITORS READING REVIEWS
    Computer Software Company14%
    Government9%
    Financial Services Firm9%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise7%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise64%
    Buyer's Guide
    Business Process Management (BPM)
    March 2024
    Find out what your peers are saying about Camunda, Pega, Apache and others in Business Process Management (BPM). Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Apache Airflow is ranked 3rd in Business Process Management (BPM) with 29 reviews while BIC Platform is ranked 33rd in Business Process Management (BPM) with 4 reviews. Apache Airflow is rated 7.8, while BIC Platform 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 BIC Platform writes "Provides good stability, but they should add a feature for enterprise architecture". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, AWS Step Functions and IBM Business Automation Workflow, whereas BIC Platform is most compared with SAP Signavio Process Manager, ARIS BPA, Visio, Sparx Systems Enterprise Architect and ADONIS.

    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.