Alteryx vs. TensorFlow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alteryx
Score 9.0 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
TensorFlow
Score 8.4 out of 10
N/A
TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.N/A
Pricing
AlteryxTensorFlow
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AlteryxTensorFlow
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
AlteryxTensorFlow
Small Businesses
Klipfolio
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Score 7.6 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Klipfolio
Klipfolio
Score 7.6 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises

No answers on this topic

IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
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User Ratings
AlteryxTensorFlow
Likelihood to Recommend
9.2
(126 ratings)
6.7
(15 ratings)
Likelihood to Renew
8.5
(19 ratings)
-
(0 ratings)
Usability
9.2
(52 ratings)
9.0
(1 ratings)
Availability
8.0
(4 ratings)
-
(0 ratings)
Performance
9.1
(37 ratings)
-
(0 ratings)
Support Rating
9.3
(52 ratings)
9.1
(2 ratings)
In-Person Training
7.0
(1 ratings)
-
(0 ratings)
Online Training
8.6
(2 ratings)
-
(0 ratings)
Implementation Rating
8.2
(5 ratings)
8.0
(1 ratings)
Configurability
7.4
(2 ratings)
-
(0 ratings)
Ease of integration
8.3
(3 ratings)
-
(0 ratings)
Product Scalability
7.6
(3 ratings)
-
(0 ratings)
Vendor post-sale
8.3
(2 ratings)
-
(0 ratings)
Vendor pre-sale
7.3
(1 ratings)
-
(0 ratings)
User Testimonials
AlteryxTensorFlow
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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Open Source
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
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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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Open Source
  • A vast library of functions for all kinds of tasks - Text, Images, Tabular, Video etc.
  • Amazing community helps developers obtain knowledge faster and get unblocked in this active development space.
  • Integration of high-level libraries like Keras and Estimators make it really simple for a beginner to get started with neural network based models.
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Cons
Alteryx
  • Alteryx is great for processes that is has already "thought through". It's more difficult to get Alteryx to deal with some customization.
  • The data visualizations with Alteryx are generally good, although I don't think the color schemes are the best.
  • I think the data science capabilities are awesome with Alteryx, although not as well used as products built with Python or R.
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Open Source
  • RNNs are still a bit lacking, compared to Theano.
  • Cannot handle sequence inputs
  • Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
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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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Open Source
No answers on this topic
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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Open Source
Support of multiple components and ease of development.
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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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Open Source
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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Open Source
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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Open Source
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
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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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Open Source
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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Open Source
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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Open Source
Use of cloud for better execution power is recommended.
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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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Open Source
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
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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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Open Source
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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Open Source
  • Learning is s bit difficult takes lot of time.
  • Developing or implementing the whole neural network is time consuming with this, as you have to write everything.
  • Once you have learned this, it make your job very easy of getting the good result.
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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