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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Delinea Secret Server
Score 8.9 out of 10
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Secret Server (originally from Thycotic, now from Delinea since the 2021 Thycotic merger with Centrify) is an enterprise password management application, which is available with either a cloud-based or on-premise deployment which emphasizes fast deployment, scalability, and simplicity.
For a quick job scanning of status and deep-diving into job issues, details, and flows, AirFlow does a good job. No fuss, no muss. The low learning curve as the UI is very straightforward, and navigating it will be familiar after spending some time using it. Our requirements are pretty simple. Job scheduler, workflows, and monitoring. The jobs we run are >100, but still is a lot to review and troubleshoot when jobs don't run. So when managing large jobs, AirFlow dated UI can be a bit of a drawback.
Great for managing access to secrets and servers and is more secure than storing passwords in a browser. The browser plugin to autofill passwords works well. Being able to schedule access ahead of time is a big plus for me as I can be forgetful. If you want a lightweight password vault, however, it may not be the best choice.
Password Management: Its entire purpose, really. Secret Server stores passwords in an incredibly easy to use way. They can be organized in groups, they contain all the information about the site or system the password is used for (including URLs for websites), and even a notes field. You can set up specific policies for expirations and complexity, and Secret Server can even generate strong passwords for you. Using a password is simple, too, since you can just click a button to add it to your clipboard; you don't even have to unmask the password.
Security: The passwords are stored encrypted in a SQL database, and the application requires an authenticated login. This could be local, but we tie it into Active Directory. Each folder of passwords has groups assigned (in our case, again, AD, but you can make them local groups) with different permission levels, so we can compartmentalize passwords. Desktop technicians don't have access to network switch passwords, etc.
Easy Setup: It took me about an hour to get the server running, from spinning up the VM to importing our old password list. It took a little longer to organize the passwords into proper folders, and then assigning groups, but it was easy to do.
Personal Passwords: Each user also gets a personal folder, where they can keep their own, unshared passwords. This is nice for sites or systems with individualized logins (e.g., a firewall, VPN, etc.)
Favorites: Secret Server lets you tag passwords as "favorites" so you can easily find ones you use constantly. The search feature is nice, but this is nicer.
The sharing functionality NEEDS improvement. We share most passwords at a group level, but then it becomes impossible to share them with a dynamic group and one or two one-off people as well. This is a major shortcoming.
I don't love the interface. I feel like there is an attempt at a dashboard, but it is really not effective.
I've heard, but never seen, that the software can actually change passwords in the target systems. If this is part of its deliverable, I do not know how to use it, and I don't know how you would do that. Seems like a great feature for password management.
There are a number of reasons to choose Apache Airflow over other similar platforms- Integrations—ready-to-use operators allow you to integrate Airflow with cloud platforms (Google, AWS, Azure, etc) Apache Airflow helps with backups and other DevOps tasks, such as submitting a Spark job and storing the resulting data on a Hadoop cluster It has machine learning model training, such as triggering a Sage maker job.
There were not very many solutions that provided the entire package of taking an account from creation and deactivating it when no longer needed, as well as providing the discovery of unknown service accounts. Other solutions like RoboForm and LastPass did not offer the ability to manage your service accounts and added layers of complication to ensure security.
