Alteryx Customer Reviews 2024

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.

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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.

86 Likeliness to Recommend

97 Plan to Renew

81 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+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

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Machine Learning Platforms

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Alteryx Reviews

Christian K.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Sep 2021

Rich of features, reliable data lack over versions

Likeliness to Recommend

3 /10

What differentiates Alteryx from other similar products?

Alteryx uses a nice user interface which makes it easy to create models for data analysis. This simplifies aspects like linear regression and probability calculations in general. The models can be reused and results are available within seconds or minutes, depends on the amount of data you have. With some updates, you can also get some more functions. This changes from version to version. Cleaning data is relatively easy and you can also connect to other data sources that you can integrate then.

What is your favorite aspect of this product?

The visual aspect is fine for a quick plug-and-play experience and the friendly cleansing of datasets. This makes working much easier and you don't have to waste a lot of time. This together eases working with this tool in comparison to comparable software or a popular spreadsheet tool.

What do you dislike most about this product?

It was a bad experience to know that with an update the results in output were different suddenly and you get told that this is normal. If you are working with follow-up calculations this can cause you a headache. So it would be necessary to keep output stable. Also, lots of error messages appear when you are "rewiring" the model and this makes it look a bit chaotic first. Some error messages are also not self-explaining and can cause a long trouble-shooting time at the computer. The lack of a Mac version was bad and required the use of a virtual computer.

What recommendations would you give to someone considering this product?

Consider what you really need: a nice UI to put models together or are you willing to invest more time and brain cells to create a model in a data analytics tool or spreadsheet software. Because you can achieve the same and get reliable data that are not changing with a new version. You may consider a training for Alteryx if you choose it to avoid waiting for error solutions due to the inner complexity of Alteryx which other tools have as well, but they make its handling easier through a less intuitive, but a clearer way to the expected output and more tutorials and resources from other users.

Pros

Trustworthy
Respectful
Client Friendly Policies
Altruistic

Cons

Commodity Features
Less Reliable
Less Productive

Akos K.

Role: Consultant
Industry: Media
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2021

Great features, great tool for analytics

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

The way the end user can interact with the data in it is so intuitive, that other tools could not offer so far.

What is your favorite aspect of this product?

I like how feature rich the tool is and how easy to learn it.

What do you dislike most about this product?

It would be the performance considerations. I found the product to struggle with bigger data somtimes.

What recommendations would you give to someone considering this product?

I'd say give it a go, and try it out as it is a great product, but you have to see if it is a fit for you.

Pros

Helps Innovate
Reliable
Enables Productivity
Saves Time

Mohamad A.

Role: Operations
Industry: Insurance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2021

Amazing data analytics tool, easy to use.

Likeliness to Recommend

10 /10

What differentiates Alteryx from other similar products?

Quality of the product Support from Alteryx team

What is your favorite aspect of this product?

The speed of handling big data The ease of solving all data issues

What do you dislike most about this product?

The pricing structure

What recommendations would you give to someone considering this product?

The tool is amazing and user friendly for automations and advanced analytics. Start with designer license and then move to server version.

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

How We Deliver

Alteryx

What is Alteryx?

Company Details

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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

Christian K.

Rich of features, reliable data lack over versions

Likeliness to Recommend

Pros

Cons

Akos K.

Great features, great tool for analytics

Likeliness to Recommend

Pros

Mohamad A.

Amazing data analytics tool, easy to use.

Likeliness to Recommend

Pros

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Informatica Data Integration & Engineering

Title

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 