Reference | Alteryx to Dataiku concept mapping

New terminology can be a stumbling block when learning a new software tool. This table provides an overview mapping some of the key concepts in Alteryx to a similar feature in Dataiku.

Alteryx	Dataiku	Context
Workflow & Canvas	Dataiku project & Flow	Organize all components of an analytics activity — data, transformations, results, and documentation — into one project. Within a project, track how data moves through an analytical pipeline through the Flow’s visual grammar of datasets, recipes, and models.
Container tool	Flow zone	Manage large projects by dividing a complex Flow into multiple, smaller zones.
Browse tool	Analyze window	In the Explore tab of a dataset, open the Analyze window on a column for exploratory data analysis (EDA).
Sample tool	Sampling on datasets	Work interactively on even very large datasets by adjusting the default sampling parameters as needed.
Input data tool	Data connections	Access data through a consistent visual interface across disparate sources such as cloud storage, HDFS, SQL, NoSQL, and more.
Text input tool	Editable datasets	Directly change the rows, columns, and values of a dataset.
Comment tool	Discussions, descriptions, wikis, etc.	Share knowledge among team members and onboard new users quickly with real-time collaboration in a browser as opposed to a desktop application.
Select tool	Prepare recipe processors	Add steps from the Prepare recipe’s processor library for the most common data wrangling operations such as selecting, renaming, and reordering columns.
Formula tool	Formulas	In the Prepare recipe, write expressions in a spreadsheet-style syntax for calculations, string manipulation, and more.
DateTime functions	Date management	Parse dates, extract date components, compute time differences, and more using various processors in the Prepare recipe.
Join and Append tools	Join recipe	Visually run in-database a variety of dataset joins (left, right, inner, outer, anti, cross) without writing SQL.
Spatial tools	Geographic processors and recipes	Create geopoints from lat-lon coordinates, along with many other geographic operations, in the Prepare recipe. Use the Geo join recipe for spatial joins.
Union tool	Stack recipe	Equivalent to an SQL UNION ALL, combine multiple datasets in a number of ways with this visual recipe.
Score tool	Score recipe	Generate predictions by applying a machine learning model to unseen data.
Filter tool	Split recipe	Divide a dataset into multiple outputs based on a range of conditions, including mapping column values or defining filters.
Results window	Data preparation	Before running a Prepare recipe, preview a sample of results alongside the script. Before running other visual recipes, check the Output tab to see the new schema.
Interactive chart tool	Charts	Drag and drop data onto a variety of chart types to visualize trends and relationships in your data.
Render tool	Dashboards	Share results with business users by publishing insights, such as charts and key metrics, onto dashboards.
Assisted Modeling	Visual ML	Quickly create and iterate on predictive models using AutoML or expert mode.
Data investigation tools	Interactive statistics	For deeper dives beyond the Analyze window, see the Statistics tab of a dataset for computing a wide range of common statistical analyses.
Schedule Workflows	Automation scenarios	Automate the execution of a Flow — including building datasets and training models — according to triggers, such as a period of time (daily) or when a dataset changes.
Analytic Apps	Dataiku Applications	Package projects behind customizable visual interfaces so consumers can independently reuse them for downstream tasks.
Batch and Iterative macros	Dynamic Dataset & Recipe Repeat	Dynamic read and run dataset and recipe, respectively, that iterates on each rows of a dataset