Alteryx Customer Reviews 2024

Alteryx

Composite Score

8.3 /10

CX Score

8.6 /10

91 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

97 Plan to Renew

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.

+91 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 Connectors and Data Mashup

Data Integration

Data Pre-Processing

Data Profiling

Data Packaging

Data Enrichment

Self Service and Ad Hoc Capabilities

Data Access

Data Modelling Tools

Cataloging

Vendor Capability Ratings

Average 80

Business Value Created

Ease of Implementation

Quality of Features

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 7.9

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Machine Learning Platforms

Score 7.4

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Alteryx Reviews

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

Jossie B.

Role: Finance
Industry: Banking
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2021

Great product, easy to fix data for tableau

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

Ease of cleansing data

What is your favorite aspect of this product?

Data manipulation

What do you dislike most about this product?

Hard to get the hang of it

What recommendations would you give to someone considering this product?

Get some tutorials

Pros

Performance Enhancing
Respectful
Client Friendly Policies
Acts with Integrity

Cons

Leverages Incumbent Status

Juri S.

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

Validated Review

Verified Reviewer

Submitted Oct 2021

Great tool - unless you work with date/time types

Likeliness to Recommend

7 /10

What differentiates Alteryx from other similar products?

Cloud-based service with great web UI that has all necessary features to preprocess data effectively.

What is your favorite aspect of this product?

The fact that it is cloud-based, that it has a great UI to analyse and preprocess data, and that you can create re-usable recipes.

What do you dislike most about this product?

Trifacta is really poor when it comes to date and datetime processing (recognising formats, chaging formats etc.). The date format syntax is highly counter-intuitive, proprietary, and inconsistent (e.g. to simply check if a datetime is properly ISO formatted: ISMISMATCHED(column, ['Datetime','yy-mm-dd hh:mm:ss','yyyy*mm*dd*HH:MM:SS']) - whereas if you want to convert into ISO format, you have to use 'yyyy-MM-dd HH:mm:ss'). To make things worse, what you see is often not what you get, in the sense that if the UI seems to recognise a date correctly, you may find out that in fact it didn't and your date column in the output just consists of NULL

What recommendations would you give to someone considering this product?

Hands off if you have to wrangle datetime data types, otherwise highly recommended.

Pros

Unique Features
Security Protects
Reliable
Performance Enhancing

Cons

Less Effective Service
Less Caring
Wastes Time

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

97 Plan to Renew

81 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 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 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 .

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.

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.

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

Machine Learning Platforms

Alteryx Reviews

Gustavo C.

Very intuitive, robust to organize data pipelines

Likeliness to Recommend

Pros

Cons

Jossie B.

Great product, easy to fix data for tableau

Likeliness to Recommend

Pros

Cons

Juri S.

Great tool - unless you work with date/time types

Likeliness to Recommend

Pros

Cons

Most Popular Alteryx Comparisons

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Informatica Data Integration & Engineering

Feature Ratings

Data Cleansing

Data Connectors and Data Mashup

Data Integration

Data Pre-Processing

Data Profiling

Data Packaging

Data Enrichment

Self Service and Ad Hoc Capabilities

Data Access

Data Modelling Tools

Cataloging

Vendor Capability Ratings

Business Value Created

Ease of Implementation

Quality of Features

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

Informatica Data Integration & Engineering 