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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Real user data aggregated to summarize the product performance and customer experience.
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86 Likeliness to Recommend
97 Plan to Renew
81 Satisfaction of Cost Relative to Value
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?
Pros
- Performance Enhancing
- Enables Productivity
- Respectful
- Reliable
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
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
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Alteryx Reviews
Gustavo C.
- Role: C-Level
- Industry: Manufacturing
- Involvement: IT Leader or Manager
Submitted Oct 2021
Very intuitive, robust to organize data pipelines
Likeliness to Recommend
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
Submitted Oct 2021
Great product, easy to fix data for tableau
Likeliness to Recommend
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
Submitted Oct 2021
Great tool - unless you work with date/time types
Likeliness to Recommend
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