Alteryx's partnership with DataRobot provides a key difference: it allows users with no data science knowledge or programming skills to establish machine learning tools, services and applications. The ensuing framework, and the automation it delivers, helps organizations build enterprise grade data and analytics frameworks. For businesses that do not already have high-priced machine learning talent in-house, Alteryx is a clear choice.
Even before the partnership Alteryx had emerged as a rising start in the data sciences and machine learning spaces. It offers a robust collection of products and services that handle data discovery, data cataloging, data management and metadata management. It also offers data collaboration tools that aid in self-service data analytics – which, again, helps companies that cannot afford to hire outside help.
Machine learning requires a robust data framework. Alteryx takes aim at the challenge through an approach that focuses on several key areas: advanced analytics, BI and visualization, data discover and management, location intelligence, data preparation and technology integrations.
The company has partnerships in place with Microsoft, Tableau, AWS, Hortonworks, Cloudera, Oracle and DataRobot, a leading provider of machine learning tools. A drag-and-drop interface and DataRobot plug-in make it possible to use machine learning functionality without dedicated data science skills.
The self-service framework supports parallel model analysis with predictive analytics, along with the ability to automate machine learning workflows and processes. The framework incorporates hundreds of machine learning algorithms—without the need to write code. It also includes wizards that aid in the selection of algorithms and retraining data.
Overview and Features
Data scientists, developers, software engineers, executives, IT professionals, citizen data scientists.
Connects to more than 200 vendors and platforms. An alliance with Data Robot delivers broader and deeper predictive analytics and machine learning. DataRobot connectors—essentially applets—allow a user to plug in algorithms and workflows to create a modular and automated machine learning framework quickly and without any substantial knowledge of data science.
Scripting Languages/Formats Supported
Python, R, VB, SQL Query/Script, Powershell.
Supports most major data and file formats directly or through DataRobot. Includes PostgreSQL metadata loader. Outputs data to numerous formats, including PNG, HTML, PDF, Doc/Docx, XLS/XLSX, PPT/PPTX, and RTF.
Reporting and Visualization
Graphical User interface with drag-and-drop. Command line programming via open source languages. Reporting and visualization tools are adequate, according to Gartner.
$5,195 per user annually for basic data analytics package. $6,500 per user annually for desktop scheduling with analytics workflows. $11,700 per user annually for spatial data. $33,800 per user annually for demographic and firmographic data. Price for DataRobot was not available.
Alteryx Overview and Features at a Glance:
|Vendor and features||Alteryx|
|ML Focus||Analytics and ML platform that allows users to build models in a single workflow|
|Key Features and capabilities||Offers more than 250 code free pre-built tools and supports open source tools and scripting.|
|User comments||High ratings for simplicity and usability. Complaints about the lack of robust reporting and visualization features.|
|Pricing and licensing||Tiered system based on products used. Ranges from $5,195 to $33,800 per seat annually.|