Alteryx, Inc.

Alteryx

7.7 /10

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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3 Top Rated Capabilities

7 Top Rated Features

Latest Award, 2024

2023 Emotional Footprint Champion

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

75 Satisfaction of Cost Relative to Value

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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

Ease of Data Integration

Breadth of Features

Ease of Implementation

Quality of Features

Usability and Intuitiveness

Business Value Created

Ease of Customization

Ease of IT Administration

Availability and Quality of Training

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

Aswini A.

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

Validated Review

Verified Reviewer

Submitted Apr 2022

High efficiency Data preparation & Analytics tool

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

It has good performance while handling large datasets. Cost is less compared to other tool. Has connection supports for multi sources. Good access to Cloud services and on prime data sources. Has better features for this cost compared to other tool.

What is your favorite aspect of this product?

open source so no extra cost for limited access. multi source connections. Good support for cloud services. can handle huge data at a time. Cost is less. performance is very good when handling multiple source datasets.

What do you dislike most about this product?

each pipeline/jobs has separate cost to load data source. Sometime there is lag in connecting data source. Connection issue is more when connection on-prime data sources. Need training to handle tool for first time.

What recommendations would you give to someone considering this product?

As it is open source it can be easily used for small projects and there will be no cost for limited access. Performance is good if you want to use for larger datasets. Good to practice POC projects as it is open source.

Pros

Continually Improving Product
Trustworthy
Altruistic
Client's Interest First

Dilip Kumar D.

Role: Information Technology
Industry: Banking
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2022

Alteryx is an effective tool with less features

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

It’s a good software with limited features. It is effective tool for Data Analytics Platform and it is used to prepare, Blend and analyze data very effectively.

What is your favorite aspect of this product?

Performance well on large datasets and also support different data sources to pull the data with high performance.

What do you dislike most about this product?

Cost is more. Need to pay every time when we run the pipelines to pull and process the data. It does not support cloud storages and it is missing features for today industries.

What recommendations would you give to someone considering this product?

Data preparation is very good as it supports many data sources. As it has limited features so the cost is less so it can be easy deploy by start up companies and new companies.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Efficient Service

Bunty B.

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

Validated Review

Verified Reviewer

Submitted Apr 2022

Amazing capabilities but requires training to use.

Likeliness to Recommend

8 /10

What differentiates Alteryx from other similar products?

It has every possible feature to data merging, analysis and combine huge excels.

What is your favorite aspect of this product?

Its capability and speed

What do you dislike most about this product?

Requires training to run this independently

What recommendations would you give to someone considering this product?

Should pay attention to amount of training this software would require as it involves some coding.

Pros

Enables Productivity
Unique Features
Reliable
Performance Enhancing

Alteryx

What is Alteryx?

Company Details

Need Assistance?

Awards & Recognition

2023 Emotional Footprint Champion

Alteryx Ratings

84 Likeliness to Recommend

94 Plan to Renew

75 Satisfaction of Cost Relative to Value

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

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

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 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.

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.

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

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

Aswini A.

High efficiency Data preparation & Analytics tool

Likeliness to Recommend

Pros

Dilip Kumar D.

Alteryx is an effective tool with less features

Likeliness to Recommend

Pros

Bunty B.

Amazing capabilities but requires training to use.

Likeliness to Recommend

Pros

Most Popular Alteryx Comparisons

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Databricks Data Intelligence Platform

DataRobot AI Platform

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

Ease of Data Integration

Breadth of Features

Ease of Implementation

Quality of Features

Usability and Intuitiveness

Business Value Created

Ease of Customization

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Vendor Support