Alteryx Customer Reviews 2025 | Data Preparation for Analytics

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Alteryx

Composite Score

8.6 /10

CX Score

8.8 /10

101 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 Data Preparation for Analytics category

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2025 Data Quadrant Champion

Latest Award, 2025

3 Top Rated Capabilities

8 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

2024 Data Quadrant Champion

2024

4 Top Rated Capabilities

8 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

2 Top Rated Capabilities

6 Top Rated Features

2023

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.

86 Likeliness to Recommend

98 Plan to Renew

80 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.

+92 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?

1% Negative

3% Neutral

96% Positive

Pros

Performance Enhancing
Enables Productivity
Respectful
Saves Time

Feature Ratings

Average 83

Data Security

Data Cleansing

Data Connectors and Data Mashup

Data Integration

Data Pre-Processing

Data Profiling

Data Packaging

Data Enrichment

Data Access

Self Service and Ad Hoc Capabilities

Data Modelling Tools

Vendor Capability Ratings

Average 80

Business Value Created

Ease of Implementation

Quality of Features

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Customization

Vendor Support

Also Featured in...

Data Quality

Score 8.1

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Metadata Management

Score 7.9

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Machine Learning Platforms

Score 7.4

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

Alteryx Reviews

Ravi Shekhar P.

Role: Consultant
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Oct 2021

Very user intuitive graphic interface,

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

Its features to graphical view of application saving time on writing queries

What is your favorite aspect of this product?

Graphical interface

What do you dislike most about this product?

So many features

What recommendations would you give to someone considering this product?

Easy to use with least query or python scripting knowledge

Pros

Performance Enhancing
Saves Time
Helps Innovate
Reliable

Lorenzo L.

Role: Information Technology
Industry: Energy
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2021

Easy to use for everyone

Likeliness to Recommend

9 /10

What differentiates Alteryx from other similar products?

Trifacta is a useful tool for data analysis and data preparation that is quick and easy to use by users of any skill level. Unlike other competitors, the system is completely in cloud. No installation required, possibility to share work on any device. One feature that I appreciate most during my use of Trifacta is the ability to see in real-time the projection of the transformations I am doing.

What is your favorite aspect of this product?

Simplicity and speed of analyzing many amounts of data.

What do you dislike most about this product?

Nothing in particular but they could add the possibility of recovering data deleted by mistake

What recommendations would you give to someone considering this product?

Trifacta provides a demo that allows you to evaluate the product, just try it.

Pros

Performance Enhancing
Enables Productivity
Efficient Service
Caring

Gustavo C.

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

Validated Review

Verified Reviewer

Submitted Oct 2021

Very intuitive, robust to organize data pipelines

Likeliness to Recommend

10 /10

What differentiates Alteryx from other similar products?

Very friendly to use, very robust to handle high volume of data including a very complete data profiling artifact at the end of processing enabling data scientists or analysts to immediately take decisions about that dataset. The summary for each column is algo a very good assistant with wrangling suggestions to facilitate the data engineering.

What is your favorite aspect of this product?

User friendly for analysts and data engineers, the visual part.

What do you dislike most about this product?

Pricing and connectors

What recommendations would you give to someone considering this product?

If you are too small, reconsider. If you are med-big company and have complex data pipelines to be built, go ahead and buy it.

Pros

Reliable
Trustworthy
Respectful
Fair

Cons

Vendor's Interest First

Alteryx

What is Alteryx?

Company Details

Need Assistance?

Awards & Recognition

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Alteryx Ratings

86 Likeliness to Recommend

98 Plan to Renew

80 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+92 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 Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

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

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Data Access 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.

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

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

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 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.

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.

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

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.

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.

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.

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.

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

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.

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.

Also Featured in...

Data Quality

Metadata Management

Machine Learning Platforms

Alteryx Reviews

Ravi Shekhar P.

Very user intuitive graphic interface,

Likeliness to Recommend

Pros

Lorenzo L.

Easy to use for everyone

Likeliness to Recommend

Pros

Gustavo C.

Very intuitive, robust to organize data pipelines

Likeliness to Recommend

Pros

Cons

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1
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Feature Ratings

Data Security

Data Cleansing

Data Connectors and Data Mashup

Data Integration

Data Pre-Processing

Data Profiling

Data Packaging

Data Enrichment

Data Access

Self Service and Ad Hoc Capabilities

Data Modelling Tools

Vendor Capability Ratings

Business Value Created

Ease of Implementation

Quality of Features

Ease of Data Integration

Breadth of Features

Usability and Intuitiveness

Availability and Quality of Training

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Customization

Vendor Support