What users are saying about
59 Ratings
59 Ratings
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Score 8.9 out of 100
12 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

Apache Kafka

Despite the disadvantages I list, I really believe that Kafka is the right choice whenever you need a queueing or message broker system. Kafka is way too battle-tested and scales too well to ever not consider it. The only exception is if your use case requires many, many small topics. Also, Kafka doesn't support delay queues out of the box and so you will need to "hack" it through special code on the consumer side.
Anonymous | TrustRadius Reviewer

Azure Data Factory

If you are just getting started and all your data is resident in the Azure cloud, then Azure Data Factory is likely to work fine without having to jump through too many hoops. However, in a hybrid environment (which is most of them these days), ADF will likely need a leg up. It works well for scheduling and basic scheduling/orchestration tasks, but the feature set is not at a level with SSIS (which has been around for 15 years so...). As ADF now supports deploying SSIS, it is also a good candidate if large amounts of your data are resident in the Azure cloud and you have an existing SSIS investment in code and licensing. We are using it in a hybrid fashion for the data warehouse and will slowly transition over to ADF as the feature set improves. We are also using it for cloud-native applications that only require supplemental data from on-prem resources
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Data Source Connection

Apache Kafka
Azure Data Factory
8.4
Connect to traditional data sources
Apache Kafka
Azure Data Factory
8.2
Connecto to Big Data and NoSQL
Apache Kafka
Azure Data Factory
8.6

Data Transformations

Apache Kafka
Azure Data Factory
8.4
Simple transformations
Apache Kafka
Azure Data Factory
9.1
Complex transformations
Apache Kafka
Azure Data Factory
7.8

Data Modeling

Apache Kafka
Azure Data Factory
8.2
Data model creation
Apache Kafka
Azure Data Factory
9.0
Metadata management
Apache Kafka
Azure Data Factory
9.0
Business rules and workflow
Apache Kafka
Azure Data Factory
7.7
Collaboration
Apache Kafka
Azure Data Factory
9.0
Testing and debugging
Apache Kafka
Azure Data Factory
6.6

Data Governance

Apache Kafka
Azure Data Factory
7.7
Integration with data quality tools
Apache Kafka
Azure Data Factory
8.1
Integration with MDM tools
Apache Kafka
Azure Data Factory
7.2

Pros

Apache Kafka

  • Apache Kafka is able to handle a large number of I/Os (writes) using 3-4 cheap servers.
  • It scales very well over large workloads and can handle extreme-scale deployments (eg. Linkedin with 300 billion user events each day).
  • The same Kafka setup can be used as a messaging bus, storage system or a log aggregator making it easy to maintain as one system feeding multiple applications.
Anonymous | TrustRadius Reviewer

Azure Data Factory

  • Cloud-based
  • Fast
  • Reliable
Marco Urrea | TrustRadius Reviewer

Cons

Apache Kafka

  • Still a bit inmature, some clients have required recoding in the last few versions
  • New feaures coming very fast, several upgrades a year may be required
  • Not many commercial companies provide support
Juan Francisco Tavira | TrustRadius Reviewer

Azure Data Factory

  • Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
  • Does not yet have parity with SSIS as far as the transforms available.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Apache Kafka

Apache Kafka 9.0
Based on 1 answer
Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
Juan Francisco Tavira | TrustRadius Reviewer

Azure Data Factory

No score
No answers yet
No answers on this topic

Support Rating

Apache Kafka

Apache Kafka 8.8
Based on 6 answers
We are using the Apache open source version of Kafka. The community is a good place to ask questions. and we can get most of our problems resolved there.
Anonymous | TrustRadius Reviewer

Azure Data Factory

Azure Data Factory 7.0
Based on 2 answers
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
Anonymous | TrustRadius Reviewer

Alternatives Considered

Apache Kafka

I would only use RabbitMQ over Kafka when you need to have delay queues or tons of small topics/queues around.I don't know too much about Pulsar - currently evaluating it - but it's supposed to have the same or better throughput while allowing for tons of queues. Stay tuned - I might update this review after we finish evaluating Pulsar. It's much less battle-tested though.
Anonymous | TrustRadius Reviewer

Azure Data Factory

I'd chose data factory because its very easy to use, its UI is beautiful, it's library for .net is very useful and it lives within the microsoft ecosystem.
Marco Urrea | TrustRadius Reviewer

Return on Investment

Apache Kafka

  • Positive impact on ROI since now we can use one large deployment of Apache Kafka that can be used for multiple scenarios ( storage systems, log aggregate, messaging queue ).
  • It is open-source so there are no licenses or subscription fees reducing the cost of deployment.
  • Data can now be ingested and analyzed in real-time making it easy to fine-tune the customer experience and decision making for internal IT.
Anonymous | TrustRadius Reviewer

Azure Data Factory

  • It is very useful and make things easier
  • Debugging can improve
  • Its better suited than other products with the same objective
Marco Urrea | TrustRadius Reviewer

Pricing Details

Apache Kafka

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Azure Data Factory

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Apache Kafka
8.5
Azure Data Factory
8.5

Likelihood to Renew

Apache Kafka
9.0
Azure Data Factory

Support Rating

Apache Kafka
8.8
Azure Data Factory
7.0

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