Overview
What is Alteryx?
Alteryx aims to be the launchpad for automation breakthroughs. Be it for personal growth, achieving transformative digital outcomes, or rapid innovation, Alteryx converges analytics, data science and process automation to enable users across organizations to make business-altering breakthroughs. Alteryx Designer…
Alteryx is true master of excellence in Data Analytics
Alteryx - Great Tool for All That Work With Data
game changer
Alteryx - Data and analytics , low code powerhouse
Alteryx Desktop Review
Alteryx_The Achiever!
Alteryx fast, easy, useful but lagging in the market a bit...
Why Alteryx? - Because it replaces most manual Excel "processes"
CAN'T LIVE WITHOUT IT ANYMORE
Alteryx is a great advanced data analytics tool
Alteryx is awesome for the professional analyst, and a bit much for the non-analyst user.
We've leveraged Alteryx in the Enterprise
1. SAS replacement for department ETL
2. automation of processes in finance and …
Alteryx - Excellent tool for automating tasks and improving accuracy
Alteryx -- The Gane Changing Software you didn't know you needed!
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
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Pricing
What is Alteryx?
Alteryx aims to be the launchpad for automation breakthroughs. Be it for personal growth, achieving transformative digital outcomes, or rapid innovation, Alteryx converges analytics, data science and process automation to enable users across organizations to make business-altering…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Alternatives Pricing
What is Tableau Prep?
Tableau Prep enables users to get to the analysis phase faster by helping them quickly combine, shape, and clean their data. According to the vendor, a direct and visual experience helps provide users with a deeper understanding of their data, smart features make data preparation simple, and…
What is Alteryx Designer Cloud?
Trifacta is a "data wrangling" (or data preparation) platform particularly of use with Hadoop, developed by the company Trifacta headquartered in San Francisco, California. Alteryx announced their acquisition of Trifacta in January of 2022.
Product Demos
Alteryx Analytics Automation Platform
Product Details
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What is Alteryx?
Alteryx Screenshots
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Alteryx Integrations
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Alteryx Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Windows |
Mobile Application | No |
Supported Languages | English, French, German, Brazilian Portuguese, Japanese |
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Reviews and Ratings
(346)Attribute Ratings
- 8.5Likelihood to Renew19 ratings
- 8Availability4 ratings
- 9.1Performance37 ratings
- 9.2Usability52 ratings
- 9.3Support Rating52 ratings
- 8.6Online Training2 ratings
- 7In-Person Training1 rating
- 8.2Implementation Rating5 ratings
- 7.5Configurability2 ratings
- 7.6Product Scalability3 ratings
- 8.3Ease of integration3 ratings
- 7.3Vendor pre-sale1 rating
- 8.3Vendor post-sale2 ratings
- 7Data Visualization2 ratings
- 8.7Data Sources30 ratings
- 8.4Data Sharing and Collaboration30 ratings
Reviews
(1-5 of 5)Alteryx is true master of excellence in Data Analytics
- Data Analytics
- Spatial Analysis
- Machine Learning
- reporting tool
- connectors
- sql script formatting
- It could be a little bit expensive to buy, but ROI is short
- Saving the time a lot
- Easy to learn
- Great community support
- Excellent tech support
I tried Tableau Prep and as soon as I started to use, I didn't like it. It works only for small data and basic data analytics capability. Even not correct to compare with Alteryx. It is even not Orange and Apple.
- Automation
- Governance
- Data Transformation
- Analyzing the data
- To meet the demand of executives requests shorter time period
- Simplified complex analysis, no need to write a code, much faster
- Make some analysis possible which it was impossible to analyze
- GenAI (not now, maybe future)
- Cloud (not now, maybe future)
- Scalability
- Integration with Other Systems
- Ease of Use
- Implemented in-house
- Data transform
- Data Analysis, Formulas, Summarize, Regex functions
- In Database
- Alteryx Intelligence Suite
- Reporting tool sometimes
Alteryx fast, easy, useful but lagging in the market a bit...
- Good at sifting huge data on premises... It fits big data in your desktop
- The productization of an analytics pipeline is extremely easy, lowcode, nocode...
- New AutoML capabilities and it's implementation using Alteryx promote turns a desktop capability to enterprise scale...
- It requires embedded BI with Natural language querying capabilities...
- They introduced GenAI capabilities with lowcode nocode but the scope is a bit limited, it includes LLMS but not Stable diffusion like Image generators, and the timing was a bit late
- Alteryx totally lack Event stream processing, both listening and small (device embedded) model deployment capabilities which are required in Iot or AIoT businesses
- Extremely fast ETL with minimal investment on Big Data platforms
- Very fast deployment and scheduled use of models for sales ops, risk ops and similar...
- There is an optimization capability as well but packaged solutions are limited... It bears great potential for ROI in routing, scheduling, pricing, inventory optimizations...
- There is a forecasting capability as well it's limited, if Autoforecasting with hierarchies are introduced It bears great potential for high ROI in demand sensing and MPP demand forecasting...
Risk management for risk modelling, scoring and lending decision making calculations.
Actuary for again risk modelling for insurance businesses and premium calculations.
Sales teams for sales performance tracking, lead scoring, web scraping.
Industrial engineering experience who have received
self paced e-learnings and then gathered their 1st level of Alteryx credentials.
- ETL
- Data quality
- Predictive modelling
- Scheduled reporting
- Using forecasting models we created what if scenarios for marketing and pricing
- Predictive modelling with scheduling we created continuous learning pipelines...
- Marketing optimisation cases like attribution modelling
- Automated pricing and quota preparation
it's not balanced for countries purchasing parity...
- Integration with Other Systems
- Ease of Use
- Implemented in-house
download industry specific packages and setup as well
get scheduling licence setup
test data source connections
- Locale should be setup and tested for Turkish and other languages
- Online Training
- In-Person Training
I didin't know that if it's available not mentioned much.
- Data source connections
- SQL and in-db SQL operations
- Predictive modelling
- Reporting function were a bit old school
- R and Python integrations
Alteryx is great
- Cleaning
- Processing
- Spatial Analysis
- Combining sources
- UI
- Reporting Tools
- Allows to focus on high-value tasks
- Data Preparation
- Data Modeling
- Data Loading
- None yet.
- Data Science
- Machine Learning
- Other
- Data Preparation
- Analysis
- Data Science
- Reporting
- Visualization
- Data Prep & Blend
- Huge data volumes management
- Easy to use
- Integration
- Visualization of the data
- UI-UX (mostly in Designer)
- OS independency (Today is only Windows)
- Shorter project development times (time to market for Analytics/Reports) - 1/3rd. of the standard times or more.
- Improves ROI (We don't need to hire extremely advanced consultants, with specific knowledge anymore) - Cut 50% of the total payroll
Alteryx has one of the best user communities I ever see.
- Cloud services
- To Cloud migration for clients
- ETL
- Analytics (Basic and Advanced)
- Reporting
- Predictive modeling & Analytics
- Prescriptive modeling & Analytics
- ML & AI
- Logistics route planning
- Finance processes automation
- Sales prospecting modeling
- Product Features
- Product Usability
- Prior Experience with the Product
It allows you to get data to info and info to insights in minutes, so there was not much effort involved in deciding for it.
- Implemented in-house
- Permissions (weren't right at first)
- No Training
- Read any type of datasource
- perform data manipulations
- Blend Data
- model data
- Process high volumes of data
- Integrate Python
- Orchestration
- Databases
- Tableau
- PowerBI
- GitHub
- File import/export
- Single Signon
- API (e.g. SOAP or REST)
- Javascript widgets
- ETL tools
- Bugs fixed
- Bugs fixes
- New functionality
- UI upgrade
- Alteryx handles metadata really well. The tools are intuitive in their use.
- For analytics Alteryx it is a great platform.
- There are barely any software bugs in the product.
- The error messages are actually helpful to debug modules.
- If a load-balancing application is internally developed on top of Alteryx processing nationwide universes can be really fast.
- Speed is somewhat lacking.
- It isn't optimally geared for ETL.
- Intellisense would be a nice feature
- There is no version control.
- The tools could use some more features.
- More pre-built macros would be nice
- It gets the job done fast.
- It lends itself well for people with a less-technical aptitude to understand the data process.
- It empower the user to come up with any possible solution to a problem.
- Alteryx Analytics Gallery
- R Integration
- Counts & Orders
- Analytics
- File Builds
- Macros
- Product Usability
- Product Reputation
- Implemented in-house
- Dyanmic tools
- Alteryx analytics gallery
- Large file builds