Alteryx vs. Apache Kafka

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alteryx
Score 9.1 out of 10
N/A
Alteryx aims to be the launchpad for automation breakthroughs. Be it for personal growth, achieving transformative digital outcomes, or rapid innovation, Alteryx converges analytics, data science and process automation to enable users across organizations to make business-altering breakthroughs. Alteryx Designer can be used to automate every analytics step — from data prep to data science. Access any data source or type, then blend via drag-and-drop interface.…N/A
Apache Kafka
Score 8.1 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
Pricing
AlteryxApache Kafka
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AlteryxApache Kafka
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
AlteryxApache Kafka
Small Businesses
Klipfolio
Klipfolio
Score 9.0 out of 10

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Medium-sized Companies
Klipfolio
Klipfolio
Score 9.0 out of 10
IBM MQ
IBM MQ
Score 9.2 out of 10
Enterprises

No answers on this topic

IBM MQ
IBM MQ
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AlteryxApache Kafka
Likelihood to Recommend
9.2
(128 ratings)
8.4
(18 ratings)
Likelihood to Renew
8.5
(19 ratings)
9.0
(2 ratings)
Usability
9.4
(52 ratings)
10.0
(1 ratings)
Availability
7.5
(4 ratings)
-
(0 ratings)
Performance
9.1
(39 ratings)
-
(0 ratings)
Support Rating
9.1
(52 ratings)
8.4
(4 ratings)
In-Person Training
7.0
(1 ratings)
-
(0 ratings)
Online Training
8.6
(2 ratings)
-
(0 ratings)
Implementation Rating
8.1
(5 ratings)
-
(0 ratings)
Configurability
7.3
(2 ratings)
-
(0 ratings)
Ease of integration
8.2
(3 ratings)
-
(0 ratings)
Product Scalability
7.4
(3 ratings)
-
(0 ratings)
Vendor post-sale
8.2
(2 ratings)
-
(0 ratings)
Vendor pre-sale
7.3
(1 ratings)
-
(0 ratings)
User Testimonials
AlteryxApache Kafka
Likelihood to Recommend
Alteryx
We're trying right now to get more people using it at our company so we can send management documented cases for how we can expand and purchase Alteryx Server which will extend the capabilities even more and across more departments. It's been well suited for pretty much everything we do on a repeating schedule. It's worth the time to set up the workflows. When Treasury sends me the bank download now - I save it to a folder and run our workflows and send back 2 journal entries in .9 seconds. (yes - in less than a second it's finished running)
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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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Pros
Alteryx
  • Pulling data from multiple disparate data sources.
  • Allows users to see the data at every step of the workflow to be able to cleanse, analyze, and optimize the data.
  • Provides an analytics platform that is easy for users of all levels to thrive in whether they are just starting out in their analytics journey or they have a master's degree in Data Science.
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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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Cons
Alteryx
  • Steeper Learning Curve: Alteryx can have a steep learning curve for users who are new to the platform or have limited experience with data analytics. Enhancements to the user interface and user onboarding resources could help make the learning process more intuitive and accessible to a wider range of users.
  • Enhanced Data Visualization Capabilities: Alteryx offers basic data visualization capabilities, but there is room for improvement in terms of advanced visualizations and interactive dashboarding features. Adding more sophisticated chart types, interactive widgets, and customization options would enhance the data visualization capabilities within the platform.
  • Improved Error Handling and Debugging: Alteryx provides error handling mechanisms, but enhancing the error reporting and debugging capabilities would be beneficial. Improved error messages, better visibility into data flow, and debugging tools could help users troubleshoot and resolve issues more efficiently.
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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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Likelihood to Renew
Alteryx
We've developed a working partnership with Alteryx. As an enablement suite, we're continuing to innovate and deliver great products with use of Alteryx in our solutions. Alteryx use expands to our global product development teams and is in use in multiple parts of our organization. Alteryx also delivers Experian demographic content to other clients in their product offering. We're highly likely to renew, but that decision is way above my pay grade.
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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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Usability
Alteryx
I've found that while some things might take a little longer to create, the flexibility of Alteryx allows you to perform any function needed. I haven't found a use that was not available in Alteryx yet. APIs and XMLs can be created to perform certain functions. In addition, CMD line commands can be sent using Alteryx to perform certain functions as well.
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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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Reliability and Availability
Alteryx
I use many programs and compared to others, Alteryx virtually never goes down, freezes up or gives an application error. Over a 4 year time period that I have used this program, any of these may have happened 3 times. It is an incredibly stable program that I feel completely confident in.
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Apache
No answers on this topic
Performance
Alteryx
Alteryx is an extremely reliable platform. If there is an error in my workflow, I feel pretty strongly it was probably my fault. The platform also handles large amounts of data very quickly and can join/match, sort, filter, calculate on that data quickly as well. One of my favorite things to build into a workflow are the messages based on data/metadata and error messages based on errors I have come across before.
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Apache
No answers on this topic
Support Rating
Alteryx
Stellar, bar-none. Some of the best support folks of any vendor. The Alteryx Community is the most responsive and supportive. On the rare occasion of a release issue or bug, we've been able to get quick help to solve the core problem. Alteryx does not play the blame game. They genuinely help the users solve their issues or respond to questions
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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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In-Person Training
Alteryx
1st level of trainings which I've attended in Paris was easy and I was already knowing %90, that learning could have been an e-learning instead of in-person
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Apache
No answers on this topic
Online Training
Alteryx
Very good, detailed online trainings which you can take at your own pace, and strong certifications exists, certifications are extremely detailed and hard...
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Apache
No answers on this topic
Implementation Rating
Alteryx
There is really not much to it (the installation, that is). Once you get it installed, along with any of the add-ons (demographics, R, etc.), you are up and running almost immediately. There is really no additional setup. You can immediately begin blending data, running demographics, performing spatial queries, running predictive analysis, etc. And for many of these functions, the learning curve is quite easy.
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Apache
No answers on this topic
Alternatives Considered
Alteryx
Alteryx is MUCH more user friendly. both provide the ability to code within them, but Alteryx has much nicer interface. The formula tools have a more simple language that is easier to learn than formulae in SSIS. Alteryx is easy to read with multi colored tools identifying what each one does. It also allows for macros. You can build your own tool to process records of data or batch records together.
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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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Scalability
Alteryx
Individual analysts can quickly generate results using their own copy of Alteryx Designer. But using the Server and developing macros for more complex needs can be time consuming.
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Apache
No answers on this topic
Return on Investment
Alteryx
  • Error handling - allows controls to be built into workflows easily and allows them to be isolated and spat into control reports that can be easily reviewed and audited, thanks to the ability to create multiple outputs in one go.
  • Time-saving - saved huge amounts of time, especially when moving Excel processes into Alteryx.
  • Product development - allowed my firm to create products that we have been able to market and sell to clients.
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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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ScreenShots

Alteryx Screenshots

Screenshot of Alteryx APA - Automating asset inputsScreenshot of Alteryx APA - Automating outcomesScreenshot of Alteryx APA - Data enrichment and insightsScreenshot of Alteryx APA - Data quality and preparationScreenshot of Alteryx APA - Data science and decisions