Apache Airflow vs. Pega Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.7 out of 10
N/A
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
Pega Platform
Score 8.5 out of 10
N/A
Pega Platform is a combined business process management and robotic process automation (RPA) platform with advanced workforce analytics from Pegasystems.
$0.45
one-time fee per case**
Pricing
Apache AirflowPega Platform
Editions & Modules
No answers on this topic
Low-code Factory Edition
$0.45
one-time fee per case**
Standard Edition
$0.80
one-time fee per case**
Enterprise Edition
Custom Quote
Offerings
Pricing Offerings
Apache AirflowPega Platform
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details**350,000 cases / year minimum. Additional cases available in blocks of 150,000.
More Pricing Information
Community Pulse
Apache AirflowPega Platform
Features
Apache AirflowPega Platform
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
8.7
12 Ratings
5% above category average
Pega Platform
-
Ratings
Multi-platform scheduling9.312 Ratings00 Ratings
Central monitoring8.912 Ratings00 Ratings
Logging8.512 Ratings00 Ratings
Alerts and notifications9.312 Ratings00 Ratings
Analysis and visualization6.712 Ratings00 Ratings
Application integration9.412 Ratings00 Ratings
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
Apache Airflow
-
Ratings
Pega Platform
5.3
63 Ratings
38% below category average
Dashboards00 Ratings4.062 Ratings
Standard reports00 Ratings6.062 Ratings
Custom reports00 Ratings6.061 Ratings
Process Engine
Comparison of Process Engine features of Product A and Product B
Apache Airflow
-
Ratings
Pega Platform
8.0
66 Ratings
4% below category average
Process designer00 Ratings8.965 Ratings
Process simulation00 Ratings7.857 Ratings
Business rules engine00 Ratings9.965 Ratings
SOA support00 Ratings7.251 Ratings
Process player00 Ratings7.048 Ratings
Support for modeling languages00 Ratings5.46 Ratings
Form builder00 Ratings9.059 Ratings
Model execution00 Ratings8.656 Ratings
Collaboration
Comparison of Collaboration features of Product A and Product B
Apache Airflow
-
Ratings
Pega Platform
9.0
50 Ratings
7% above category average
Social collaboration tools00 Ratings9.050 Ratings
Content Management Capabilties
Comparison of Content Management Capabilties features of Product A and Product B
Apache Airflow
-
Ratings
Pega Platform
4.4
9 Ratings
59% below category average
Content management00 Ratings4.49 Ratings
Best Alternatives
Apache AirflowPega Platform
Small Businesses

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Score 9.7 out of 10
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Score 7.5 out of 10
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Score 9.7 out of 10
Enterprises
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Score 9.6 out of 10
CMW Platform
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Score 9.3 out of 10
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User Ratings
Apache AirflowPega Platform
Likelihood to Recommend
8.8
(12 ratings)
6.0
(73 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(7 ratings)
Usability
8.2
(3 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
10.0
(7 ratings)
Online Training
-
(0 ratings)
8.0
(1 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Apache AirflowPega Platform
Likelihood to Recommend
Apache
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.
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Pegasystems
Pega Platform has introduced the low code feature, using app studio seasonal and professional developer can develop application easily and quickly. The initial application can be build by Business analyst and product owner who has less knowledge of Pega Platform, further application can be enhanced/extended by professional developer. We can develop end to end application and promote to higher environment. Easily we can perform parallel development using branch.
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Pros
Apache
  • 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.
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Pegasystems
  • Quick development time. Much of the Pega "rules" are easy to configure and implement.
  • Visually friendly and modern. Much of the UI/UX elements in the system are continuously supported and updated, giving a nice feel to the apps.
  • Many of the configurations and rules Pega gives to the developers can also be delegated to business users. The organization and structure of the client's business can easily be adapted in the Pega platform.
Read full review
Cons
Apache
  • 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.
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Pegasystems
  • Need more learning materials. For Beginners who have previous programming experience with another language takes more time to learn.
  • If the developer is met with an issue in pega platform , they have to rely on Pega supporting team to fix it.
  • Customization is available but is not encouraged. Pega does not support faults that occur in customized solutions.
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Likelihood to Renew
Apache
No answers on this topic
Pegasystems
Pegasystems has continued to demonstrate a strong partnership with our organization and investment in their product that aligns with our overall vision and need. Pegasystems has engaged us at every level, with the assistance of minor defects to the overall roadmap planning and alignment of our goals
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Usability
Apache
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.
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Pegasystems
Pega Platform is enhancing its product and launching new features day by day which help to achieve customers needs. If I talk about the earlier version of Pega Platform (i.e. pega v5 and 6.3) there were many numbers of limitations in Pega Platform and if we need to do some customization then needed to write custom java and jave scripts to achieve the functionally. Now I can say Pega Platform is running with market trends and demand. Pega Platform is giving all the options which support the current technologies like decisioning capabilities, real time processing, mashup, process fabrics etc..
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Support Rating
Apache
No answers on this topic
Pegasystems
It’s very slow sometimes, but that may be our servers. Also the Knowledge Library needs some work - again, not sure if it’s our setup or what- but I’m unable to search the body of an article for content, so I have to be very intentional with tagging, but it’s not ideal.
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Online Training
Apache
No answers on this topic
Pegasystems
The online training is an excellent one, but still it is missing hands on development.
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Implementation Rating
Apache
No answers on this topic
Pegasystems
Implementation is totally depend up on the requirement
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Alternatives Considered
Apache
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.
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Pegasystems
We did evaluate multiple products offerings with Pega Platform capabilities and observed that Pega PRPC rules engine and case management capabilities are better over so many BPM Tools. We also conducted a detailed study with developers to identify the best products out of Suite of BPM products. It's observed that Rules engines integration is very streamlined with forms in Pega whereas other tools multiple have powerful data model capabilities but lacks the ease of creating business rules.
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Return on Investment
Apache
  • 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
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Pegasystems
  • For one of the applications we worked on, we were able to reduce the processing time on a case from 2 days to 20 minutes by utilizing Pega
  • We were able to resolve the issue of the routing of cases to users based on a specific algorithm by use of Pega
  • Pega case management feature was extensively used in one of the application to establish a parent-child relationship which was very helpful for all the business users
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ScreenShots