Alteryx Customer Reviews 2025 | SoftwareReviews

Alteryx

Composite Score

7.4 /10

CX Score

7.6 /10

36 Reviews Write a Review

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What is Alteryx?

Alteryx provides a single workflow for data blending, analytics, and reporting. This workflow allows the seamless blending of internal, third party and cloud-based data, and simple analysis using 60+ prebuilt tools for spatial and predictive analytics. With Alteryx Machine Learning’s automated insight generation, you’ll quickly uncover hidden signals and key relationships in your data.

Company Details

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Awards & Recognition

Alteryx won the following awards in the Machine Learning Platforms category

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2 Top Rated Capabilities

2 Top Rated Features

Latest Award, 2025

3 Top Rated Capabilities

7 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

3 Top Rated Capabilities

1 Top Rated Features

2023

1 Top Rated Capabilities

0 Top Rated Features

2022

Alteryx Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Alteryx.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

83 Likeliness to Recommend

1
Since last award

96 Plan to Renew

1
Since last award

73 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+86 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Alteryx?

7% Negative

2% Neutral

91% Positive

Pros

Enables Productivity
Reliable
Saves Time
Acts with Integrity

Feature Ratings

Average 77

Data Labeling

Data Pre-Processing

Data Ingestion

Feature Engineering

Algorithm Recommendation

Pre-Packaged AI/ML Services

Explainability

Data Exploration and Visualization

Openness and Flexibility

Performance and Scalability

Model Training

Vendor Capability Ratings

Average 79

Breadth of Features

Ease of Data Integration

Quality of Features

Usability and Intuitiveness

Ease of Implementation

Business Value Created

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Vendor Support

Product Strategy and Rate of Improvement

Also Featured in...

Data Preparation for Analytics

Score 8.4

View Alteryx in this category (opens in a new tab)

Metadata Management

Score 7.9

View Alteryx in this category (opens in a new tab)

Data Quality

Score 7.8

View Alteryx in this category (opens in a new tab)

Alteryx Reviews

Mayank K.

Role: Consultant
Industry: Banking
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2022

Great data science product

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

Easy of use than other softwares like Power BI. Alteryx can handle large amount of data at one time without any lag while other similar softwares has limitations. Alteryx also has R statistics which helps in data analytics. Alteryx provides great integrated environment which can be connected with any data base with ease. Its a great tool for visualisation which can used while making complex strategies as well as in data science.

What is your favorite aspect of this product?

Data integration, Ease of use,Reliable, Additional tools for some complex analysis. Works without lag for producing large reports and dashboards.

What do you dislike most about this product?

Requires a dedicated training to use the tool. User Interface can be improved for beginners and new learner’s.

What recommendations would you give to someone considering this product?

The most trusted product in terms data integration, data handling, data manipulation, minimal coding

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Nathan Patrick T.

Role: C-Level
Industry: Healthcare
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Feb 2022

Easy to Use and Quick to Deploy

Likeliness to Recommend

10 /10

What differentiates Alteryx from other similar products?

My litmus test for any data tool is how quickly and easily it connects to disparate data sources. Alteryx has never had any issues in that area. The tool is quick to learn and returns value back to the business immediately. Alteryx has a wide range of data tools for common tasks which also delivers speed to insights. Alteryx has the best user community of any data platform on the market.

What is your favorite aspect of this product?

Its ease of use and connectivity is the best aspect of the platform. It truly is an end-to-end solution when paired with the Alteryx Server.

What do you dislike most about this product?

The reporting tools need a little adjustment. They are not super intuitive. However, we use Alteryx with other visualization tools (like Tableau and Power BI) where this issue is not really a big concern.

What recommendations would you give to someone considering this product?

Have your team download the trial and see how quickly you can produce data workflows. Pay attention to the ease of connecting to data. Also, keep in mind the breadth of depth of Alteryx from simple data munging to geospatial and ML.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Alteryx

What is Alteryx?

Company Details

Need Assistance?

Awards & Recognition

2023 Emotional Footprint Champion

Alteryx Ratings

83 Likeliness to Recommend

1 Since last award

96 Plan to Renew

1 Since last award

73 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+86 Net Emotional Footprint

How much do users love Alteryx?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Labeling Ability to annotate/ label data to create a training data set.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Feature Engineering Ability to extract and build features from raw data.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Explainability Ability to explain/ visualize the model.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Model Training Ability to train a model with a range of data sets that you provide.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Also Featured in...

Data Preparation for Analytics

Metadata Management

Data Quality

Alteryx Reviews

Mayank K.

Great data science product

Likeliness to Recommend

Pros

Nathan Patrick T.

Easy to Use and Quick to Deploy

Likeliness to Recommend

Pros

Most Popular Alteryx Comparisons

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Feature Ratings

Data Labeling

Data Pre-Processing

Data Ingestion

Feature Engineering

Algorithm Recommendation

Pre-Packaged AI/ML Services

Explainability

Data Exploration and Visualization

Openness and Flexibility

Performance and Scalability

Model Training

Vendor Capability Ratings

Breadth of Features

Ease of Data Integration

Quality of Features

Usability and Intuitiveness

Ease of Implementation

Business Value Created

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Vendor Support

Product Strategy and Rate of Improvement