Alteryx, Inc.

Alteryx

7.7 /10

31 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.

Company Details

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Awards & Recognition

Alteryx won the following awards in the Machine Learning Platforms category

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2023 Emotional Footprint Champion

Latest Award, 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.

84 Likeliness to Recommend

94 Plan to Renew

1
Since last award

75 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+85 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?

3% Negative

3% Neutral

94% Positive

Pros

Enables Productivity
Reliable
Saves Time
Acts with Integrity

Feature Ratings

Average 77

Data Pre-Processing

Algorithm Recommendation

Data Labeling

Pre-Packaged AI/ML Services

Explainability

Data Exploration and Visualization

Openness and Flexibility

Ensembling

Data Ingestion

Feature Engineering

Performance and Scalability

Vendor Capability Ratings

Average 79

Breadth of Features

Business Value Created

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Ease of Implementation

Ease of IT Administration

Quality of Features

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Vendor Support

Also Featured in...

Data Preparation for Analytics

Score 8.7

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

Data Quality

Score 8.2

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

Alteryx Reviews

Maryam A.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

For process automation.

Likeliness to Recommend

9 /10

What differentiates Alteryx from other similar products?

Because Alteryx is optimized for performance, users can process and analyze data rapidly and effectively. Time series analysis, segmentation, and predictive modeling are among the sophisticated statistical and predictive analytics functions that Alteryx offers.

What is your favorite aspect of this product?

My favorite Workflows are a feature of Alteryx that let you automate intricate and repetitive tasks. Data from multiple sources can be rapidly and effectively cleaned, combined, transformed, and enhanced, making it easier for them to access.

What do you dislike most about this product?

In order to execute intricate workflows and handle massive data sets, Alteryx could need a substantial amount of hardware and processing power.

What recommendations would you give to someone considering this product?

Because Alteryx enables teams to share custom tools, macros, and workflows, I suggest it for team collaboration.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Gael S.

Role: Human Resources
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2024

For data cleaning and transformation.

Likeliness to Recommend

9 /10

What differentiates Alteryx from other similar products?

Finding patterns, trends, and links in the data is made possible by the predictive and statistical analysis that Alteryx offers. Alteryx facilitates the seamless integration of data from several sources, enabling the effective blending and purification of data. Numerous data sources, such as databases, flat files, cloud services, and more, can be connected to by it.

What is your favorite aspect of this product?

I enjoy using Alteryx to automate workflows since it saves time and lowers the possibility of human error while carrying out repetitive operations. This is especially helpful for large-volume data extraction, transformation, and loading (ETL) processes.

What do you dislike most about this product?

Even though Alteryx is capable of producing some simple representations, it is not intended to be a standalone visualization tool; in order to produce more sophisticated and customized visualizations, it must be integrated with other tools like Tableau or Power BI.

What recommendations would you give to someone considering this product?

Because Alteryx makes it easy to build and share workflows and results, I suggest it for team collaboration. It's easier to understand and work together on data analysis projects when you can discuss and document procedures.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Validated Review

Anonymous Reviewer

Submitted Dec 2022

Strong With A Wide Range Of Tools

Likeliness to Recommend

9 /10

Pros

Continually Improving Product
Reliable
Efficient Service
Acts with Integrity

Alteryx

What is Alteryx?

Company Details

Need Assistance?

Awards & Recognition

2023 Emotional Footprint Champion

Alteryx Ratings

84 Likeliness to Recommend

94 Plan to Renew

1 Since last award

75 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+85 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 Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

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

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

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.)

Ensembling 'Ability to combine ML models for best results.

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.

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

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.

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

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 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.

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.

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

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.

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.

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 Preparation for Analytics

Data Quality

Alteryx Reviews

Maryam A.

For process automation.

Likeliness to Recommend

Pros

Gael S.

For data cleaning and transformation.

Likeliness to Recommend

Pros

Strong With A Wide Range Of Tools

Likeliness to Recommend

Pros

Most Popular Alteryx Comparisons

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1
Since last award

1
Since last award

Feature Ratings

Data Pre-Processing

Algorithm Recommendation

Data Labeling

Pre-Packaged AI/ML Services

Explainability

Data Exploration and Visualization

Openness and Flexibility

Ensembling

Data Ingestion

Feature Engineering

Performance and Scalability

Vendor Capability Ratings

Breadth of Features

Business Value Created

Ease of Data Integration

Availability and Quality of Training

Ease of Customization

Ease of Implementation

Ease of IT Administration

Quality of Features

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Vendor Support