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Apache Airflow vs Documentum xCelerated Composition Platform comparison

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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"I found the following features very useful: DAG - Workload management and orchestration of tasks using.""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.""I like the UI rework, it's much easier.""The product integrates well with other pipelines and solutions.""We have been quite satisfied with the stability of the solution.""The initial setup was straightforward and it does not take long to complete."

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"Two things are excellent in Documentum. One is business process management. The other is its support for metadata."

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Cons
"UI can be improved with additional user-friendly features for non-programmers and for fewer coding practitioner requirements.""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.""I would like to see it more friendly for other use cases.""Technical support is an area that needs improvement.""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 dashboard is connected into the BPM flow that could be improved."

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"In BPM could be better. Its GUI needs the ability to build more rules. This is a crucial feature. For example, OpenText has some products that allow you to control your checks, invoices, and so on. They have exciting approaches to converting pictures to text, but the tool for business process management isn't easy to use. The GIU is not so good."

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Pricing and Cost Advice
  • "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."
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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 a great orchestration and automation tool. Its connectivity with other systems is a great plus point. The interactive UI, the options for scheduling and the very fact that its… more »
    Top Answer: 
    I've used it at past companies to build a data warehouse for analytics (populating redshift/snowflake). My current company is using it for similar purposes but more to pull data from data sources… more »
    Top Answer: 
    Two things are excellent in Documentum. One is business process management. The other is its support for metadata.
    Top Answer: 
    The price of Documentum could be lower. It's quite high compared to its competitors.
    Top Answer: 
    In BPM could be better. Its GUI needs the ability to build more rules. This is a crucial feature. For example, OpenText has some products that allow you to control your checks, invoices, and so on… more »
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    Also Known As
    Airflow
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    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.”

    EMC Documentum xCelerated Composition Platform (xCP) improves how you build applications. As a dynamic composition platform, xCP combines integrated technologies and prebuilt components with graphical modeling and configuration tools to emphasize composition and configuration over custom coding.
    Offer
    Learn more about Apache Airflow
    Learn more about Documentum xCelerated Composition Platform
    Sample Customers
    Agari, WePay, Astronomer
    CNAMTS
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider19%
    Financial Services Firm13%
    Media Company9%
    VISITORS READING REVIEWS
    Computer Software Company31%
    Comms Service Provider15%
    Insurance Company6%
    Government6%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise13%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise61%
    Large Enterprise29%
    No Data Available
    Buyer's Guide
    Business Process Management (BPM)
    May 2022
    Find out what your peers are saying about Camunda, Software AG, Signavio and others in Business Process Management (BPM). Updated: May 2022.
    597,415 professionals have used our research since 2012.

    Apache Airflow is ranked 8th in Business Process Management (BPM) with 6 reviews while Documentum xCelerated Composition Platform is ranked 43rd in Business Process Management (BPM) with 1 review. Apache Airflow is rated 8.0, while Documentum xCelerated Composition Platform is rated 0.0. The top reviewer of Apache Airflow writes "Integrates well with other pipelines and builds different processes well but the scalability needs improvement". On the other hand, the top reviewer of Documentum xCelerated Composition Platform writes "The metadata helps you retrieve and manage all the documents in your databases". Apache Airflow is most compared with Camunda Platform, Amazon Step Functions, IBM BPM, IBM Business Automation Workflow and Informatica Business Process Manager, whereas Documentum xCelerated Composition Platform is most compared with Appian, K2, Genpact Cora SeQuence, Camunda Platform and Adobe Experience Manager (AEM) Forms.

    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.