Alteryx Customer Reviews 2025 | SoftwareReviews

Alteryx

Composite Score

8.4 /10

CX Score

8.7 /10

94 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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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

1
Since last award

81 Satisfaction of Cost Relative to Value

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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?

2% Negative

3% Neutral

95% Positive

Pros

Performance Enhancing
Enables Productivity
Respectful
Reliable

Feature Ratings

Average 83

Data Cleansing

Data Integration

Data Connectors and Data Mashup

Data Profiling

Data Pre-Processing

Data Packaging

Data Enrichment

Self Service and Ad Hoc Capabilities

Data Access

Data Modelling Tools

Cataloging

Vendor Capability Ratings

Average 80

Business Value Created

Quality of Features

Ease of Implementation

Breadth of Features

Ease of Data Integration

Usability and Intuitiveness

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Vendor Support

Also Featured in...

Data Quality

Score 7.8

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

Metadata Management

Score 7.8

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Machine Learning Platforms

Score 7.5

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

Alteryx Reviews

Louis L.

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

Validated Review

Verified Reviewer

Submitted Sep 2021

Worth the price of admission.

Likeliness to Recommend

9 /10

What differentiates Alteryx from other similar products?

Excellent training and ease of use.

What is your favorite aspect of this product?

The speed at which data can be ingested and manipulated.

What do you dislike most about this product?

No tool level logic available.

What recommendations would you give to someone considering this product?

The performance and flexibility typically justifies the cost.

Pros

Enables Productivity
Effective Service
Helps Innovate
Continually Improving Product

Punit M.

Role: Information Technology
Industry: Utilities
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Sep 2021

variety of of features, but its on the pricey side

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

The primary difference between Alteryx and other ETL tools is the ease of use and drag and drop feature. It allows non technical user to do data transformation without any hassle.

What is your favorite aspect of this product?

Alteryx supports Integration from almost any data source available and allows you to create a synchronized singe data set for further use.

What do you dislike most about this product?

I frequently face issues with Alteryx server, due to which we've to run workflows manually.

What recommendations would you give to someone considering this product?

Ease of Use, This product is versatile and Doesn't need technical background

Pros

Performance Enhancing
Unique Features
Effective Service
Saves Time

Anurag S.

Role: Information Technology
Industry: Banking
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Sep 2021

Insightful Analysis With Alteryx Designer

Likeliness to Recommend

10 /10

What differentiates Alteryx from other similar products?

There is a wide range of functionality available in Alteryx Designer. In other ETL tools you can perform basic Data Preparation and Integration Operations but Alteryx on the other hand gives you flexibility to work on Data Input, Data Pre Processing, Data Output, Reporting, Macros and Business Applications.

What is your favorite aspect of this product?

I think development of business applications using Alteryx Designer is one of the coolest feature available right now.

What do you dislike most about this product?

Sometimes, when I try to fetch a large input file or multiple input file in Alteryx Canvas, it takes time and after some time it crashes which is a bit annoying I think.

What recommendations would you give to someone considering this product?

I would highly recommend Alteryx Designer as it definitely helps you in whole extraction, transformation and loading flow of data and the best part is that you only have to create a single workflow which you can use later for multiple use cases.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Alteryx

What is Alteryx?

Company Details

Need Assistance?

Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Gold Medalist

2023 Emotional Footprint Champion

Alteryx Ratings

86 Likeliness to Recommend

98 Plan to Renew

1 Since last award

81 Satisfaction of Cost Relative to Value

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

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

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

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

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 .

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 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.

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

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

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.

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 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.

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.

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.

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

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 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

Louis L.

Worth the price of admission.

Likeliness to Recommend

Pros

Punit M.

variety of of features, but its on the pricey side

Likeliness to Recommend

Pros

Anurag S.

Insightful Analysis With Alteryx Designer

Likeliness to Recommend

Pros

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Feature Ratings

Data Cleansing

Data Integration

Data Connectors and Data Mashup

Data Profiling

Data Pre-Processing

Data Packaging

Data Enrichment

Self Service and Ad Hoc Capabilities

Data Access

Data Modelling Tools

Cataloging

Vendor Capability Ratings

Business Value Created

Quality of Features

Ease of Implementation

Breadth of Features

Ease of Data Integration

Usability and Intuitiveness

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Vendor Support