Apache Kafka vs. Pega Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Kafka
Score 8.4 out of 10
N/A
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.N/A
Pega Platform
Score 5.8 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.
$35
per month per user* (or $0.45 per case**)
Pricing
Apache KafkaPega Platform
Editions & Modules
No answers on this topic
Low-code Factory Edition
$35
per month per user* (or $0.45 per case**)
Standard Edition
$90
per month per user* (or $0.80 per case**)
Enterprise Edition
Custom Quote
Offerings
Pricing Offerings
Apache KafkaPega Platform
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details*500 named user minimum. Additional users available in blocks of 100. Billed annually. Based on a 3-year term. **350,000 cases / year minimum. Additional cases available in blocks of 150,000.
More Pricing Information
Features
Apache KafkaPega Platform
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
Apache Kafka
-
Ratings
Pega Platform
8.8
62 Ratings
8% above category average
Dashboards00 Ratings9.061 Ratings
Standard reports00 Ratings8.661 Ratings
Custom reports00 Ratings8.660 Ratings
Process Engine
Comparison of Process Engine features of Product A and Product B
Apache Kafka
-
Ratings
Pega Platform
7.8
65 Ratings
7% below category average
Process designer00 Ratings8.064 Ratings
Process simulation00 Ratings6.156 Ratings
Business rules engine00 Ratings9.064 Ratings
SOA support00 Ratings9.050 Ratings
Process player00 Ratings9.447 Ratings
Support for modeling languages00 Ratings5.46 Ratings
Form builder00 Ratings9.658 Ratings
Model execution00 Ratings6.155 Ratings
Collaboration
Comparison of Collaboration features of Product A and Product B
Apache Kafka
-
Ratings
Pega Platform
9.0
50 Ratings
9% 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 Kafka
-
Ratings
Pega Platform
4.4
9 Ratings
59% below category average
Content management00 Ratings4.49 Ratings
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Apache KafkaPega Platform
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User Ratings
Apache KafkaPega Platform
Likelihood to Recommend
8.3
(18 ratings)
5.6
(73 ratings)
Likelihood to Renew
9.0
(2 ratings)
10.0
(7 ratings)
Usability
10.0
(1 ratings)
9.0
(1 ratings)
Support Rating
8.4
(4 ratings)
10.0
(7 ratings)
Online Training
-
(0 ratings)
8.0
(1 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Apache KafkaPega Platform
Likelihood to Recommend
Apache
Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
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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
  • Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
  • Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
  • Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
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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.
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Cons
Apache
  • Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
  • Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
  • Learning curve around creation of broker and topics could be simplified
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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
Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
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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
Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
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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
Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
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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
I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
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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
  • Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
  • Positive: it's scalable so we can develop small and scale for real-world scenarios
  • Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.
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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