Alteryx Platform vs. Apache Hadoop

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alteryx Platform
Score 9.1 out of 10
N/A
The Alteryx AI Platform gives organization automated data preparation, AI-powered analytics, and machine learning with embedded governance and security. Its self-service functionality, with self-service data prep, machine learning, and AI-generated insights, gives enterprise teams with a simplified user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Alteryx Designer can be used to automate every analytics step…
$14,850
per year 3 users (minimum), cloud edition
Hadoop
Score 7.5 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
Pricing
Alteryx PlatformApache Hadoop
Editions & Modules
Designer Desktop
starting at $5,195
per year per user
Designer Cloud Professional Edition
Starting at $4,950
per year per user (minimum of 3 users)
No answers on this topic
Offerings
Pricing Offerings
Alteryx PlatformHadoop
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Alteryx PlatformApache Hadoop
Considered Both Products
Alteryx Platform
Chose Alteryx Platform
I have used Tableau Desktop. We selected Alteryx because of the better pricing options they had for our firm. Although Tableau has amazing features like data blending, story designing dashboards, parameters switches, geo coding, etc. Alteryx provides decent solutions in most of …
Chose Alteryx Platform
Alteryx was surely a better option compared to RapidMiner but when compared against IBM SPSS it is behind for advanced analytical techniques and model scoring, visualization capabilities and neural networks functionalities. SPSS also has a diverse range of analytical techniques …
Hadoop

No answer on this topic

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Alteryx PlatformApache Hadoop
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Score 8.2 out of 10

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Score 9.6 out of 10
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
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Score 9.6 out of 10
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User Ratings
Alteryx PlatformApache Hadoop
Likelihood to Recommend
9.1
(138 ratings)
8.0
(37 ratings)
Likelihood to Renew
8.9
(19 ratings)
9.6
(8 ratings)
Usability
9.1
(53 ratings)
8.0
(6 ratings)
Availability
7.3
(4 ratings)
-
(0 ratings)
Performance
8.8
(45 ratings)
8.0
(1 ratings)
Support Rating
9.2
(52 ratings)
7.5
(3 ratings)
In-Person Training
7.0
(1 ratings)
-
(0 ratings)
Online Training
8.5
(2 ratings)
6.1
(2 ratings)
Implementation Rating
8.0
(5 ratings)
-
(0 ratings)
Configurability
7.3
(2 ratings)
-
(0 ratings)
Ease of integration
8.2
(3 ratings)
-
(0 ratings)
Product Scalability
7.3
(3 ratings)
-
(0 ratings)
Vendor post-sale
8.2
(2 ratings)
-
(0 ratings)
Vendor pre-sale
7.3
(1 ratings)
-
(0 ratings)
User Testimonials
Alteryx PlatformApache Hadoop
Likelihood to Recommend
Alteryx
I would 100% recommend Alteryx to a friend, for me its friendly interface is the best, it has all the tools I need without the headache that programming is. It can be used for simple or complex analysis, so honestly, I don’t see a scenario where it wouldn’t suit. I’ve used Alteryx to make simple things I could do in Excel, for example, but it was less complex and faster to do in Alteryx, so why not? Its a very versatile tool.
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Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
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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
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
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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
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
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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
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
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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
As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
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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
I already gave the example of journal entries created in less than a second. What else can I tell you about.... I can tell you those 2 journal entries have historically had to be split into separate accounting systems so the outputs had to be very different (D365 vs Intacct) such that they are exactly ready for uploading. I can tell you I used to have some tire and battery queries hitting a line item detail table and they took hours to run UNTIL I asked IT for a view in SQL and now they're ready in about 5 minutes total. I guess I'd say if anything does take a long time - do some research with others and figure out what would speed them up
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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
It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
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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
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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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
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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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
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
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ScreenShots

Alteryx Platform 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