Apache Airflow vs Genpact Cora SeQuence comparison

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Executive Summary

We performed a comparison between Apache Airflow and Genpact Cora SeQuence 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).
765,386 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
"Since Apache works very well on Python, we can manage everything and create pipelines there.""The solution is quite configurable so it is easy to code within a configuration kind of environment.""The UI is very simple and easy to learn.""It's stable.""We're running it on a virtual server, which we can easily upgrade if needed.""The solution is flexible for all programming languages for all frameworks.""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 product integrates well with other pipelines and solutions."

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"The new reporting and the new dashboard features are really good.""It is very stable. There is no downtime."

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Cons
"Apache Airflow should have better integration with cloud platforms.""Technical support is an area that needs improvement.""Adding more automated components in Apache Airflow for basic things like exporting the data would be helpful.""I would like to see some no-code capabilities and drag and drop abilities in Airflow.""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 need to develop our workflow description and notations because out of the box, Apache Airflow does not provide some features that are needed.""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 dashboards could be enhanced."

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"The setup and configuration is complex.""The design of the interface, in general, could be improved. It could be a bit more user-friendly."

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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:Since it's widely adopted by the community, Apache Airflow is a user-friendly solution.
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    14,418
    Comparisons
    10,317
    Reviews
    17
    Average Words per Review
    469
    Rating
    7.8
    Views
    629
    Comparisons
    348
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    Also Known As
    Airflow
    Sequence BPM Suite, PNMsoft Sequence BPM Suite
    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.”

    Sequence is a BPMS (Business Process Management Software) solution. Its development environment provides an environment for designing forms, tasks, messages, system integration, and flow connections. Sequence processes are, by default, operated from within a Microsoft SharePoint site. Sequence supports integration with Microsoft SQL Server Reporting Services to enable managers to analyze performance and determine trends relating to KPIs and SLAs. In addition to integrating with Microsoft Office, SharePoint, and Dynamics products, it can be integrated with external systems through protocols such as web services, WCF. It also enables connection to enterprise applications such as SAP and Oracle. The product's architecture enables IT personnel to make changes to processes without taking them offline.
    Sample Customers
    Agari, WePay, Astronomer
    South West Water, Atkins, Wolters Kluwer, Hazera Genetics, GeRAP, Aon Hewitt, Atos Origin, SwiftTrade
    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
    Retailer9%
    Insurance Company8%
    Wholesaler/Distributor8%
    Financial Services Firm8%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise7%
    Large Enterprise67%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise15%
    Large Enterprise69%
    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.
    765,386 professionals have used our research since 2012.

    Apache Airflow is ranked 3rd in Business Process Management (BPM) with 29 reviews while Genpact Cora SeQuence is ranked 38th in Business Process Management (BPM). Apache Airflow is rated 7.8, while Genpact Cora SeQuence 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 Genpact Cora SeQuence writes "It is a very stable and scalable product without downtime". Apache Airflow is most compared with Camunda, Informatica Cloud API and App Integration, IBM BPM, AWS Step Functions and IBM Business Automation Workflow, whereas Genpact Cora SeQuence is most compared with Appian, IBM BPM, Hubble and Tungsten TotalAgility.

    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.