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Alteryx vs Keras

Alteryx logo

Alteryx

Software

Analytics automation platform

From
Free
Rated
-
Full reviewWebsite
Keras logo

Keras

Software

Deep learning API for humans

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Alteryx starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only; Keras limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • They diverge on capability: Alteryx covers Data preparation, Keras covers Sequential and Functional API.

Where they differ

Only the attributes on which Alteryx and Keras actually diverge.

Attributes where Alteryx and Keras differ
AttributeAlteryxKeras
Pricing modelsubscriptionopen-source
PlatformsWindows, WebPython, Google Colab, Jupyter
Founded19972015

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Alteryx

  • Data preparation
  • Data blending
  • Predictive analytics
  • Spatial analytics
  • Reporting
  • Python
  • R
  • Snowflake

Only in Keras

  • Sequential and Functional API
  • Pre-built neural network layers
  • Model training and evaluation
  • Transfer learning
  • Model serialization
  • TensorFlow
  • JAX
  • PyTorch

Both cover

  • Windows support

What people use each for

The jobs each tool is most often brought in to do.

Alteryx

  • Data preparation and building AI-ready datasetsnot Keras
  • Predictive analytics without writing codenot Keras
  • Automating and orchestrating repeatable analytics workflowsnot Keras
  • Enterprise reporting with governed, reusable logicnot Keras
  • Connecting to Snowflake, Databricks and cloud warehouses alongside on-premises systemsnot Keras

Keras

  • Machine learningnot Alteryx
  • Data analysisnot Alteryx
  • Model trainingnot Alteryx
  • Predictive analyticsnot Alteryx

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Alteryx

  • Starter is $250 per user per month billed annually, and the Professional and Enterprise editions are quote-only
  • Automation runs are metered, with 50 included on Starter and 15,000 on Professional, and more must be bought
  • Cost depends on three separate dimensions at once: edition, user role and automation capacity
  • Advanced analytics, governance and orchestration are withheld from the entry edition

Keras

  • Limited customization compared to TensorFlow; advanced users may find constraints in complex model designs
  • Error messages can be vague and unhelpful, making debugging challenging
  • Smaller ecosystem and fewer pre-trained models than TensorFlow or PyTorch

Pricing, plan by plan

Alteryx

Free
  • TrialFree
    • 14-day trial
    • Full features
  • Designer Desktop$5195/year
    • Data prep
    • Blending
    • Analytics

Keras

Free
  • Open SourceFree
    • High-level API
    • Pre-built layers
    • Model serialization

Which should you pick?

Choose Alteryx if

  • You need data preparation.
  • You want to start without paying.
  • You work on Windows, Web.
  • You also want data blending.
Alteryx review

Choose Keras if

  • You need sequential and functional api.
  • You want to start without paying.
  • You work on Python, Google Colab, Jupyter.
  • You also want pre-built neural network layers.
Keras review

Questions people ask

Is Alteryx or Keras better?
Neither clearly leads. Alteryx starts at Free and Keras at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Alteryx or Keras?
Alteryx starts at Free and Keras at Free.
Does Alteryx or Keras run on more platforms?
Alteryx runs on Windows, Web. Keras runs on Python, Google Colab, Jupyter.
Can I use Alteryx for free?
Both have a free tier, so you can try either at no cost before committing.
What is Alteryx best used for?
Alteryx is most often used for data preparation and building ai-ready datasets, predictive analytics without writing code, automating and orchestrating repeatable analytics workflows, enterprise reporting with governed, reusable logic. Of those, data preparation and building ai-ready datasets and predictive analytics without writing code are not what Keras is typically brought in for.
What can Alteryx do that Keras cannot?
Alteryx covers Data preparation, Data blending, Predictive analytics, Spatial analytics. Keras covers Sequential and Functional API, Pre-built neural network layers, Model training and evaluation, Transfer learning. Both handle Windows support.

Answered from the vendors’ own pages

Keras: What is Keras?

Keras is a high-level deep learning API built on top of TensorFlow that simplifies building and training neural networks. Keras 3 supports multiple backends including TensorFlow, PyTorch, and JAX, making it backend-agnostic.

Source
Keras: What model architectures does Keras support?

Keras supports the Sequential model for linear stacks of layers, the Functional API for arbitrary graph architectures, and model subclassing for custom implementations. All approaches provide access to layers, optimizers, metrics, and callbacks.

Source
Keras: Can Keras models run on TPUs and GPUs?

Yes, Keras models can run on TPU Pods or large GPU clusters, be exported to run in browsers or on mobile devices, and be served via web APIs.

Source
Keras: Does Keras offer pre-trained models?

Yes, Keras provides pre-trained models through KerasHub and Keras Applications for common deep learning tasks like image classification, object detection, and NLP.

Source
Keras: Who should use Keras?

Keras is ideal for beginners and rapid prototyping due to its simplicity and user-friendly interface. Advanced users and production deployments may benefit more from lower-level frameworks like TensorFlow or PyTorch for greater customization.

Source
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