Soda product comparison

Last modified on 26-Jan-23

Use these matrices to review the features and functionality that Soda products have to offer.

Set up
Write checks
Collaborate
Run scans
Integrate
Gain insight
Go further

Set up

Feature or functionality
Available as a free, open source tool
Available with a free, 14-day trial license
Install in your environment via `pip install`
Connect to 15+ data sources via configurations in a YAML file
Connect to 15+ data sources via a web app user interface and a Soda Agent
Manage user access to your organization’s Soda Cloud account.
Set up Single sign-on for Soda Cloud so that all users in your organization must use your IdP to access it

Write checks

Feature or functionality
Discover datasets of a newly-connected data source
Discover column profile information and auto-calculate basic statistics about contents
Include automated monitoring checks for each dataset right out of the box
Use SodaCL to write human-readable checks for data quality
Write new checks in a checks YAML file
Write new checks in data quality agreements in the web app user interface
Use historic measurements of data for relative comparisons
Use built-in metrics to write checks
Use your own custom metrics to write checks
Include SQL queries in checks for data quality
Define an anomaly detection check
Define a schema check
Apply freshness checks, reference checks, and row-count comparisons between datasets

Collaborate

Feature or functionality
Invite colleagues to join your Soda Cloud account to collaborate on writing checks and monitoring data quality
Create and manage data quality incidents, including OOTB integration with Slack and MS Teams to collaborate on investigations
Prepare data quality agreements with stakeholders in your organization
Set alert notification rules to organize and properly route alerts for data quality issues

Run scans

Feature or functionality
Run an ad hoc scan
Define a scan schedule
Configure programmatic scans
Define filters to test specific portions of data for quality (aka. partitioning)
Execute the same checks in multiple environments, such as dev, test, and prod

Integrate

Feature or functionality
Integrate with AirFlow to automate scans and actions proceeding from scan results
Use OOTB integration with Slack or MS Teams to send notifications of data quality issues and investigate incidents
Integrate with Alation or Metaphor to view data quality details from within your data catalog
Integrate with dbt to review dbt test results from within Soda Cloud
Use a webhook to integrate Soda Cloud with a third-party service provider, such as Jira or ServiceNow, to send notifications of data quality issues and investigate incidents

Gain insight

Feature or functionality
Take advantage of automatic data profiling for datasets and columns
Access sample data to inspire the data quality checks to write
View charts to gain visibility into stored measurements for a metric over time
Set up notifications to alert your team of data quality failures and warnings
View samples of rows that failed a check
Use the Soda Reporting API to gain insight into the health of your datasets and your Soda Cloud account user activity, and to build customized dashboards in Tableau, Looker, etc.

Go further

Learn more about Soda products in general and how they work together to establish and maintain data reliability.
Questions? Join the Soda community on Slack.
Get up and running in a few minutes using the Quick start for Soda Core and Soda Cloud.

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Last modified on 26-Jan-23