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Alteryx

Alteryx One

Composite Score

8.8 /10

CX Score

9.0 /10

122 Reviews Write a Review

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What is Alteryx One?

Alteryx One connects data, business context, and AI for insights that lead to confident decisions. Intelligent enterprises connect data, analytics, and AI across operations for faster, smarter decisions. With Alteryx One, analytics and AI show up where work happens, not just in slides. IT sets the guardrails as teams move faster and new ideas spark. From first use case to broad rollout, you get one step closer to becoming an intelligent enterprise.

Company Details

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Awards & Recognition

Alteryx One won the following awards in the Data Preparation for Analytics category

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2026 Data Quadrant Champion

Latest Award, 2026

3 Top Rated Capabilities

14 Top Rated Features

Latest Award, 2026

2025 Emotional Footprint Champion

2025

2025 Data Quadrant Champion

2025

3 Top Rated Capabilities

8 Top Rated Features

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 One Ratings

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

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

1
Since last award

97 Plan to Renew

79 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 One?

2% Negative

2% Neutral

96% Positive

Pros

Reliable
Performance Enhancing
Respectful
Trustworthy

Feature Ratings

Average 85

Message Model

Lineage & Basic Auditing

Record Deduplication

Data Connectors and Data Mashup

Metadata Management

Data Labeling

Data Cleansing

Data Security & Masking

Data Profiling

Data Pre-Processing

Data Access

Vendor Capability Ratings

Average 81

Business Value Created

Ease of Implementation

Quality of Features

Availability and Quality of Training

Ease of Data Integration

Usability and Intuitiveness

Breadth of Features

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 7.8

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Metadata Management

Score 7.8

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

Alteryx One Reviews

Agha A.

Role: Finance
Industry: Construction
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Oct 2024

Data profiling

Likeliness to Recommend

8 /10

What differentiates Alteryx One from other similar products?

Data Integration and pipelines

What is your favorite aspect of this product?

Data preparation

What do you dislike most about this product?

Data profiling

What recommendations would you give to someone considering this product?

Should be improvement in Data connectivity

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

Silvia B.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Powerful data analytic software

Likeliness to Recommend

8 /10

What differentiates Alteryx One from other similar products?

Its comprehensive and analytical features make it stand out at the top among its similar products. Its user-friendly interface makes it feasible for both beginners and experts for preparing without demanding any coding skills. Its analytical tools like spatial and predictive, helps to deal with complex analysis through a single source.

What is your favorite aspect of this product?

Alteryx's drag-and-drop interface is my favorite thing in it. It helps in simplifying the complex data for its users. This also helps my organization in analysis of data and in building complex workflow without demanding any high coding skills. This thing also mitigates the time-consuming data wrangling process. Its data blending capabilities allow the users to connect with data sources, thus enhancing the quality of work.

What do you dislike most about this product?

Although it is working amazingly for all my work sets. However, one thing that I have noticed is that when dealing with highly complex data sets, it slows down and takes a little longer than usual to streamline the workflow. This thing needs to be improved. Besides these, it is a great platform for the preparation of data and its analysis.

What recommendations would you give to someone considering this product?

To have the best working experience with Alteryx, I would recommend to take in view all the needs and evaluate all the required solutions of your organizations and then align its features according to them.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Siddharth C.

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

Validated Review

Verified Reviewer

Submitted Jun 2024

Easy Data processing with Alteryx

Likeliness to Recommend

9 /10

What differentiates Alteryx One from other similar products?

Alteryx is a no code data processing tool so people with less coding knowledge can easily implement and use this unlike other complex code based tools. It is simple drag and drop functionality based tool. Its interface is simple straight forward and simple to use than most of the other tools in the market.

What is your favorite aspect of this product?

The breadth of the features it provides and the number of combinations we can generate and use are infinite. So any data processing work can be done using inbuilt tools using logic and understanding of inbuilt tools. It supports various data input and outputs and also include various visualization means like reports and also provide with alerts. The best thing is the templates can be easily saved and used for later.

What do you dislike most about this product?

The thing i dislike about Alteryx is that it does not provide any snapshot of the backend code that is running and it would be hard to migrate or replicate the work to any other Coding based data processing tool. Lack of manual code input in terms of python or R interpreters in the midst of ongoing data flow is a drawback.

What recommendations would you give to someone considering this product?

Users can get started with Alteryx with minimal amount of training unlike other Applications. The descriptions and labels on the provided tools are straight forward and simple. I would recommend this highly for creating automated data processing works which run on frequency.

Pros

Trustworthy
Saves Time
Fair
Altruistic

Cons

Less Effective Service
Inhibits Innovation
Slower Product Innovation

Alteryx One

What is Alteryx One?

Company Details

Need Assistance?

Awards & Recognition

2026 Data Quadrant Champion

2025 Emotional Footprint Champion

2025 Data Quadrant Champion

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Alteryx One Ratings

86 Likeliness to Recommend

1 Since last award

97 Plan to Renew

79 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Alteryx One?

Pros

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

Message Model Defines the schema and structure of event or API data messages, enabling validation, parsing, and transformation of streaming data for analytics.

Lineage & Basic Auditing Tracks transformation steps, column dependencies, and change history to ensure data transparency, traceability, and reproducibility in analytics workflows.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

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

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

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

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

Data Security & Masking Includes ability to hide sensitive data by masking with special characters or anonymous information.

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 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.

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.

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 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.

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 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

Metadata Management

Alteryx One Reviews

Agha A.

Data profiling

Likeliness to Recommend

Pros

Silvia B.

Powerful data analytic software

Likeliness to Recommend

Pros

Siddharth C.

Easy Data processing with Alteryx

Likeliness to Recommend

Pros

Cons

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1
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Feature Ratings

Message Model

Lineage & Basic Auditing

Record Deduplication

Data Connectors and Data Mashup

Metadata Management

Data Labeling

Data Cleansing

Data Security & Masking

Data Profiling

Data Pre-Processing

Data Access

Vendor Capability Ratings

Business Value Created

Ease of Implementation

Quality of Features

Availability and Quality of Training

Ease of Data Integration

Usability and Intuitiveness

Breadth of Features

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Vendor Support