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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Axway AMPLIFY Managed File Transfer
Score 10.0 out of 10
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Axway headquartered in Phoenix, Arizona offers Managed File Transfer (formerly SecureTransport), a managed file transfer system providing mft gateway, mft controller, and governance.
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Control-M
Score 9.3 out of 10
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Control-M from BMC is a platform for integrating, automating, and orchestrating application and data workflows in production across complex hybrid technology ecosystems. It provides deep operational capabilities, delivering speed, scale, security, and governance.
We need end to end automation, so using Control-M we can achieve this but by using Azure Automation it automates data pipelines across the cloud. Compared to Autosys, Control-M has more advanced and modern UI and simple job life cycle management. When compared with Apache …
It supports both on-prem and cloud environments. Easy to handle complex, multi-system workflows more efficiently. Helped reduce manual intervention, which has decreased errors and operational costs.
Control-M stands out in the workload automation space for its robust orchestration capabilities, especially in complex, hybrid IT environmentsActiveBatch: Known for its rich integrations and intuitive workflow designer,
ActiveBatch often scores higher in ease of use and …
We have been using Control-M for almost 20 years and our teams are already trained to use it. Other tools are not as robust and resilient as Control-M. Control-M's graphical interface is very easy to use.
We would still use Control-M as overall orchestrator to manage the workflows created in these other products. We do not consider them as a replacement for Control-M.
It is a very innovative and feature-rich solution and can be used to complete many diverse tasks and solve different issues, resulting in significant time savings and cost-effectiveness.
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.
Handling automation backend jobs helped avoid team and customer escalations. One hundred jobs are running behind the server, for which manual monitoring is ineffective. Therefore, automated scripts are used, which are run via Control-M Jobs. There is no restriction on job scheduling. I can schedule N number of jobs as per convenience and business needs.
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.
If you use Axway SecureTransport with their edge server. The system separates your user accounts from the first point of entry into the system. This is done by creating an edge device in your DMZ that acts only as a proxy to the backend ST server.
Their support has been really good when you have a questions or issues with the version you are on. They respond pretty quickly to your open cases.
I also like the fact that their system can be really customizable. This does take a little bit of knowledge of how the system works. I did go to a 4 day class that Axway provided back in version 4.
They support a wide range of security and automation when it comes to sending/receiving files.
They have low CVE vulnerabilities and they keep up with the latest security holes that may arise.
SecureTransport is a pretty solid platform and it's pretty hands off once it's up and running. We did have to tweak a few things regarding the memory allocated to the running services and there are a still few open bugs that are supposed to be released in the next SecureTransport. Those are not causing any issue on our side.
You can create different templates for your HTTPS sites. This is useful if you have different needs for your customers.
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 have come a cross several bugs that came up in their new releases, but this is kind of expected given they support a wide range of technologies in terms of B2B transfers or ad-hoc transfers.
Support is sometimes difficult to communicate with just because of them being out of India. They are responsive and know their stuff when it comes to SecureTransport.
I haven't come across too many spots where I'm not happy with the product. Most of the shortfalls were in my knowledge of the product as opposed to the actual product. Currently we're having a little bit of an issue with the deployment of the software to the servers, but it's more of an "us" problem than a product problem. I can't really give any good examples of shortfalls of the product that I've found so far.
It is one of the best solutions on the market, in terms of innovation, reliability and stability. Control-M provides security when used by the largest companies in Mexico such as banks, department stores and logistics. It has proven to be able to integrate with new technologies on the market and provide almost 100% availability, thanks to its automatic FailOver scheme.
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.
It has an excellent graphical user interface and robust functionalities, which any scheduling tool currently has in the current market. Strengthening security measures, such as role-based access control and encryption, is essential to protect sensitive data. Providing tools to optimize resource utilization and reduce costs would be valuable. Limited options for customizing the user interface can hinder productivity. Allowing users to tailor the interface to their needs would enhance the experience.
Secondary Instances: Control-M supports the installation of a secondary instance of the entire Control-M environment, Control-M/EM, or Control-M/Server.Automatic & Manual Failover: In case of a failure on the primary host, Control-M can automatically failover to the secondary host if using Oracle or MSSQL databases. Manual failover is also an option, enabling a controlled switch during planned maintenance.Fallback: After resolving the issue on the primary host, you can easily fall back to it, or even designate the secondary host as the new primary. Database Replication: For high availability, Control-M leverages database replication from the primary site to a disaster recovery site. While replication is essential, its implementation and maintenance are the user's responsibility.
good page load times, efficient report completion, and minimal impact on integrated systems. Specifically, the well-designed GUI contributes to a positive user experience, and the platform's ability to automate various stages of the workflow, including Big Data processes, is highlighted as a key strength. Fast Page Loads: Control-M is reported to have a responsive user interface with fast page load times, allowing users to quickly navigate and manage their workflows
Support is generally excellent. Getting lower priority ones resolved can take a while, but it's rare for something to have to be dumped in the "unfixable" bin. If you end up speaking to Houston or Tel Aviv, then you know you've got a "live one".
Very knowledgeable instructors provide a hands-on, collaborative learning experience and can interact directly with instructors to develop our Control-M skills. This format allows for immediate feedback, in-depth discussions, and tailored guidance, leading to a deeper understanding of Control-M concepts and practical application. Face-to-face interaction fosters higher engagement and a more dynamic learning environment.
Simple and easy to use web based, well paced. Available any time. All online courses are simple and easy to access and use. Very practical everyday use scenarios and solutions. Incorporates software simulations, learning games, and built-in assessments to enhance comprehension and engagement. Online subscriptions are regularly updated with the latest product information, ensuring users have access to the most current knowledge.
As HA we have depend on the external DB, why don't we have HA feasibility with embedded DB. As with external DB, there are performance issues and fine tuning the DB. As if its embedded DB, Control-M it self take care of the functionality.
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.
I have not used another product other than SecureTransport. I have only researched to see if there are any alternatives better. Frankly we just don't have the time to invest in switching either. SecureTransport does what it needs to do in our environment.
Redwood RunMyJobs seemed impressive as well since it was also cross-platform, flexible, and versatile. However, we went with Control-M because it was less expensive and we were already using it on our mainframe environment. The distributed version of Control-M was much more user-friendly due to the GUI instead of the command-line interface used on the mainframe.
While Control-M offers flexibility with usage-based and subscription-based pricing, some users might prefer more predictable, upfront costs, especially for large-scale deployments. A potential area for improvement could be offering more options for fixed-term contracts with predictable pricing based on factors like the number of agents or jobs, providing a clearer budget for long-term planning
awesome product.Control-M delivers advanced operational capabilities easily consumed by Dev, Ops, data teams, and lines of business.Control-M Workflow InsightsApplication and data workflow observability: Increased confidence that SLAs are being met for Control-M users and IT leadersComprehensive control and management capabilities: Enhanced dashboards and reporting with constant telemetry and intelligent analysis on executing workflowsSelf-service visibility: In-depth reporting to help teams work autonomously
Strengths: The vendor provided strong post-sales support, timely issue resolution, and effective onboarding. Their technical team was knowledgeable and responsive, ensuring smooth integration and minimal disruption. Training resources and documentation were comprehensive. Areas for Improvement: While overall service was excellent, occasional delays in advanced customization or escalations slightly impacted timelines. More proactive optimization suggestions could further enhance value.
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
Once the system is set up and operational, the only internal support would be to configure new accounts or research failed transmissions. It's really hands off once you have it up and running. It doesn't require a bunch of support or baby sitting.
We are able to offer new services to our business customers which benefits both sides.
Control-M has improved service delivery times, reliability and quality of batch processing.
It has simplified the management of the operation and the use of the alert system has made it possible to act in a coordinated and efficient manner to solve problems.
The implementation of policies has made it possible to make greater use of Control-M and thus reduce development costs that are generated unnecessarily when the potential of the system is not considered.
