Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL. Created at Airbnb as an open-source project in 2014, Airflow was brought into the Apache Software Foundation’s Incubator Program 2016 and announced as Top-Level Apache Project in 2019. It is used as a data orchestration solution, with over 140 integrations and community support.
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CMW Platform
Score 9.2 out of 10
Mid-Size Companies (51-1,000 employees)
CMW Platform (formerly Comindware) is a business process management software centered on worklows to build automations. It implements a drag-and-drop interface along with Excel-style rules and forms.
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Pricing
Apache Airflow
CMW Platform
Editions & Modules
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Offerings
Pricing Offerings
Apache Airflow
CMW Platform
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Comindware Tracker is available for purchase on a per-user subscription plan.
More Pricing Information
Community Pulse
Apache Airflow
CMW Platform
Features
Apache Airflow
CMW Platform
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Airflow is well-suited for data engineering pipelines, creating scheduled workflows, and working with various data sources. You can implement almost any kind of DAG for any use case using the different operators or enforce your operator using the Python operator with ease. The MLOps feature of Airflow can be enhanced to match MLFlow-like features, making Airflow the go-to solution for all workloads, from data science to data engineering.
CMW has less integration capabilities, this is something that can definitely be improved in the future. On a side note, the MS Outlook integration option is excellent. The UI is decent for its purpose and the platform is well suited for a range of business requirements - customer order management, document tracking and approval management. You name it, they have it.
Apache Airflow is one of the best Orchestration platforms and a go-to scheduler for teams building a data platform or pipelines.
Apache Airflow supports multiple operators, such as the Databricks, Spark, and Python operators. All of these provide us with functionality to implement any business logic.
Apache Airflow is highly scalable, and we can run a large number of DAGs with ease. It provided HA and replication for workers. Maintaining airflow deployments is very easy, even for smaller teams, and we also get lots of metrics for observability.
UI/Dashboard can be updated to be customisable, and jobs summary in groups of errors/failures/success, instead of each job, so that a summary of errors can be used as a starting point for reviewing them.
Navigation - It's a bit dated. Could do with more modern web navigation UX. i.e. sidebars navigation instead of browser back/forward.
Again core functional reorg in terms of UX. Navigation can be improved for core functions as well, instead of discovery.
I would like to see Comindware Tracker come in a free pricing tier.
I would like to see Comindware Tracker offer more granular roles to be assigned to workflow users.
I would like to see Comindware Tracker integrate with more ERP systems and to offer more import/export/migration capabilities from other workflow management systems.
For its capability to connect with multicloud environments. Access Control management is something that we don't get in all the schedulers and orchestrators. But although it provides so many flexibility and options to due to python , some level of knowledge of python is needed to be able to build workflows.
As I mentioned in my whole review that it is making opration smoother it's capabilities to automate repetitive tasks, reduce manual errors,and improve productivity.Its low code approach allows us to create business apps quickly and easily without requiring extensibe programming knowledge.although it has lots of positive points but there are some issues which is barrier to become perfect that's why I give 8
It's more of drag and drop functionality. It is quite easy to set up. Creation of form is very easy. Support Team of Comindware Tracker is good and very friendly. It is efficient in terms of task management, project management, team management, vendor/client tracking.
Multiple DAGs can be orchestrated simultaneously at varying times, and runs can be reproduced or replicated with relative ease. Overall, utilizing Apache Airflow is easier to use than other solutions now on the market. It is simple to integrate in Apache Airflow, and the workflow can be monitored and scheduling can be done quickly using Apache Airflow. We advocate using this tool for automating the data pipeline or process.
Other than trying Comindware Tracker it is newer to me, I have used Adobe software multiple times and are familiar with their products. I won't stack Comindware Tracker against them because they both are amazing. I like using Comindware tracker because it is easy to use and is great for me, it helps optimize and maintain my workflows.
Impact Depends on number of workflows. If there are lot of workflows then it has a better usecase as the implementation is justified as it needs resources , dedicated VMs, Database that has a cost
