Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL.
N/A
UiPath Automation Platform
Score 8.4 out of 10
N/A
UiPath's agentic platform combines the company's Robotic Process Automation (RPA) solution for automating repetitive tasks with agentic automation. By unifying agentic AI, automation, BPM, and process intelligence, the platform gives organizations control to design, run, and optimize new agentic processes.
$25
per month (for 1 user with basic tier features)
Pricing
Apache Airflow
UiPath Automation Platform
Editions & Modules
No answers on this topic
Automation Cloud Basic
$25
per month 1 user, 1 basic platform tier
Automation Cloud Enterprise
Contact Sales
Enterprise Medium Business
Contact Sales
Automation Cloud Standard
Contact Sales
Automation Cloud Basic
starting at $25
per month 1 user, 1 basic platform tier
Automation Suite
Contact Sales
Offerings
Pricing Offerings
Apache Airflow
UiPath Automation Platform
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Community Pulse
Apache Airflow
UiPath Automation Platform
Features
Apache Airflow
UiPath Automation 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.
UiPath Automation Platform is well-suited for automating repetitive and time-consuming tasks such as invoice processing, data entry, and report generation. By using UiPath Automation Platform, employees can focus on more strategic tasks, which leads to increased efficiency. Additionally, UiPath Automation Platform is highly effective at automating rule-based processes, such as financial processes like bank statement reconciliation, account payable, and account receivable processes that follow a set of predetermined rules.
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.
Any type of application can be automated (Desktop Application, Web Application and also applications reachable only via remote technologies such as Citrix, Remote Desktop and so on).
The writing of a process code takes place entirely through the use of objects. In the event that there were no objects capable of solving a particular problem, it is possible to use some languages of the .net platform such as: VB.net, C#.
It is easy to scale the solution by adding more robots to run a process in case the solution requires more performance in the future.
It can also be used by functional analysts to design the flow to be automated.
An academy is available online where basic and advanced courses can be taken. It is also possible to take a completely free basic certification.
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.
As I mentioned, Excel automation is not very effective, there are a number of packages to add, but there is nothing as smooth as a good macro.
Working with selectors is certainly challenging and UiPath does a good job with that, but there is room for improvement since the interface could be smarter in selecting the right attributes and warn the user if something is not properly setup.
This platform has so much potential and have been garnering a lot of attention by proving benefits in terms of saving operational and manpower costs. I am sure with minute efforts we were able to achieve our ROI and the same is the case with many of our customers whom we have been working around Digital Automation initiatives.
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.
There are two main reasons with this rating 1. UiPath Automation Platform requires the old school type of Change Weather management, Which actually eats a lot of time to manage and roll out the recent changes. There is not something kind of CI/CD when you are developing the things With UiPath Automation Platform. 2. Very high development and maintenance cost, which actually decrease its usability.
UiPath RPA has an exceptional studio interface. It has been a year and so since I am using UiPath RPA. Whether it is some my personal task to scrape information & links from the Journal or find a specific character string from multiple PDF collection using OCR, UiPath RPA has made its roots to our technological ecosystem
Video material supported by text. The training has evolved a lot in the past 3 years to become more attractive. Specific training tracks exist for the different roles in RPA development, where everyone is expected to learn basic development.
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.
As compared to other products, we require programming knowledge and concepts to work but UiPath is for everyone. It provides us extensive event logging at various stages and effective exception handling for applications and business. It increases our agility and enhances the overall productivity further by using the source control SVC. The solution that we implemented is also very scalable in terms of incorporating new requirements.
The open source tools require lots of IT effort in order to set up and maintain over time. UiPath is like a complete package and customer service is also active in terms of solving issues arising while automating procession on a day to day basis.
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