Apache Airflow vs. DataMotion

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.

Incentivized

The Datamotion Secure Mail plug-in can be installed and used in Outlook while sending mail. In the search category, if you keep SecureMail 500 Admin and hit go, you can see how many admins there are. You can also see how many users there are and the license consumption.

Incentivized

• 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.

Incentivized

• Platform is intuitive and very easy to use from both a receiver and sender of the email.
• The "open" and/or "read" notifications serve as great documentation that a client has successfully seen and obtained the information that was being provided.
• The ability to include a simple link within an email signature prevents clients from having to go through a cumbersome portal or process to send a document securely.

Incentivized

• 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.

Incentivized

• The address book interface to add users could be made simpler
• The copy and paste feature could be improved
• When composing an email the system should automatically search address book to provide less typing of Contact names already existing as a send to the person

Incentivized

We have more testing to do before we decide if we will make a final decision to use the product as we believe we would also implement datamotion for the acquisitions we have planned for this year

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.

Incentivized

The DataMotion SecureMail's best feature according to me is simply that it performs as promised with an immediate reduction in spam which has led to spam-related queries to the IT department practically non-existent. DataMotion SecureMail is pretty robust and hands off which is great.

Incentivized

Why are you asking me

Responses always seem timely and the support seems to be pretty good. We haven't really had any major issues with the software yet, so I that's the reason I gave only an 8. If something more difficult were to pop up, I'd have a little more to say on the support for the product.

Incentivized

Make sure to break up the implementation in phases

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.

Incentivized

We can not afford Cisco products; in the end, everything we require is on the software side, not the hardware side. Also, we are trying to move away from these bulky appliance-type concepts of secure documentation and communication integrations. This federated easy, fast and multi-disciplinary API systems DataMotion has provided us is precisely what we need.

Ridiculous question. It’s scalable and that is why we would want to use it

• 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
• Donot use it if you have very less usecases

Incentivized

• DataMotion has had a positive return on investment due to the fact that we have to post less, avoid postal fees, and ensure security.
• DataMotion has decreased the amount of compliance required when sending out information; when posting documents, we would have previously had to have documents checked by compliance for security, but now we can issue these clients directly.
• Everyone in the company uses DataMotion; this has saved both time and money because of the decreased number of letters being drafted; it has created a more efficient workforce and boosted productivity.

Incentivized