Comindware Tracker and Apache Airflow are competing in workflow automation and process management. Apache Airflow seems to have the upper hand due to its advanced features that appeal to technical teams despite Comindware Tracker's attractive pricing and support.
Features: Comindware Tracker provides visual process design, integration capabilities, and is ideal for non-technical teams. Apache Airflow offers dynamic pipeline management, robust task orchestration, and manages complex dependencies effectively, making it a preferred choice for technically adept users.
Room for Improvement: Comindware Tracker could enhance technical features to cater to advanced users, improve scalability, and expand custom integration options. Apache Airflow may benefit from a more user-friendly interface, reduced complexity for non-technical users, and improved customer support for easier onboarding.
Ease of Deployment and Customer Service: Comindware Tracker is easily deployed in the cloud and offers strong customer service, making it appealing for organizations needing quick implementation. Apache Airflow's open-source nature demands technical expertise for installation and customization, presenting challenges without dedicated technical support.
Pricing and ROI: Comindware Tracker is cost-effective with a quicker ROI, suitable for small to mid-sized businesses. Apache Airflow may impose higher setup costs and offer a slower ROI due to technical complexity, yet provides long-term value with its scalability and automation capabilities.
There is enough documentation available, and the community support is good.
Forums and community resources like Stack Overflow are helpful.
The solution is very scalable.
Apache Airflow scales well, especially when deployed in Kubernetes environments.
Apache Airflow is stable and I have not experienced significant issues.
I would rate its stability at nine out of ten.
I would rate the stability of the solution as ten out of ten.
It is not suitable for real-time ETL tasks.
There is no dashboard for us to check all the Directed Acyclic Graphs (DAGs); a dashboard would help us analyze the work better.
The start date in Apache Airflow is also confusing because it is not straightforward. If you want it to start today, you should give tomorrow's date.
I prefer using the open-source version rather than the enterprise version, which helps manage costs.
It is a sub-feature and not an individual purchase.
Apache Airflow is a community-based platform and is not a licensed product.
Reliability is good, and when integrated with Kubernetes, it performs better compared to on-premises environments.
Apache Airflow is an open-source platform that allows easy integration with AWS, Azure, and Google Cloud Platform.
We can create notifications for successful or failed tasks, providing a practical way to monitor our workflows.
| Product | Market Share (%) |
|---|---|
| Apache Airflow | 5.7% |
| Comindware Tracker | 0.3% |
| Other | 94.0% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 3 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 3 |
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:
Apache Airflow Benefits
There are many benefits to implementing Apache Airflow. Some of the biggest advantages the solution offers include:
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.”
Non-coding workflow software for business process modelling and management, automation of business operations, and workflow productivity boost. Minimize dependency on IT and allows non-technical users to design, run and modify Workflows with drag-and-drop simplicity.
A wide variety of workflow management solutions have been built with Comindware Tracker across all industries, departments, and workflow scenarios and brought transparency and accountability in businesses.
Key benefits of Comindware Workflow Software:
The Workflow Management system enables non-code addition and modification of workflows with no interruption to ongoing activities. It ensures quick-win implementation and reduces expenses.
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.
