Apache Kafka vs. Informatica Data Archive

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
Informatica Data Archive
Score 7.7 out of 10
N/A
Informatica Data Archive allows users to control data growth in production databases and retire legacy applications, while managing retention, ensuring compliance, and retaining access to business data.N/A
Pricing
Apache KafkaInformatica Data Archive
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache KafkaInformatica Data Archive
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Apache KafkaInformatica Data Archive
Top Pros
Top Cons
Best Alternatives
Apache KafkaInformatica Data Archive
Small Businesses

No answers on this topic

Amazon S3 Glacier
Amazon S3 Glacier
Score 9.2 out of 10
Medium-sized Companies
IBM MQ
IBM MQ
Score 9.0 out of 10
Barracuda Essentials
Barracuda Essentials
Score 9.2 out of 10
Enterprises
IBM MQ
IBM MQ
Score 9.0 out of 10
Microsoft Exchange
Microsoft Exchange
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache KafkaInformatica Data Archive
Likelihood to Recommend
8.3
(18 ratings)
9.9
(4 ratings)
Likelihood to Renew
9.0
(2 ratings)
-
(0 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
8.4
(4 ratings)
-
(0 ratings)
User Testimonials
Apache KafkaInformatica Data Archive
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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Informatica
To manage users, go to the admin dashboard, here is a section for users. In this users section here you can see which users are configured and you have the ability to suspend a user. If you want to edit or add users, you need to go to the Organization section, then click on another user section there, which then gives you the ability to edit or add users.
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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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Informatica
  • Works well with curated data
  • Allows you to monitor data movements within an organisation
  • Advisable to use ILM if already using Informatica PowerCenter
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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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Informatica
  • As we are still piloting the product at our company at this time the feedback is highly limited.
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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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Informatica
No answers on this topic
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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Informatica
No answers on this topic
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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Informatica
No answers on this topic
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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Informatica
[The] customer support is quite good. Cost also has another point to add, along with process integration and ease of using new tool.
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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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Informatica
  • it is also fully integrated with all other AWS services
  • manages the entire life cycle of the Certificates by itself, so it will reduce your work by a really big amount
  • it can also be easily integrated with ELB and front-end cloud services.
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