Soda product comparison

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

Coming soon
Full implemented
preview Preview features available only for limited access.
Interested in getting early access? Let us know!

Set up

Feature or functionality	+
Install in your environment via `pip install`
Connect to a data source via configurations in a YAML file
Connect to a data source via a web app user interface
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

Feature or functionality	+
Discover datasets of a newly-connected data source
Write new checks in a checks YAML file
Write new checks in a web app user interface
Use historic measurements of data when defining checks
Use built-in metrics to write checks
Use your own custom metrics to write checks
Include SQL queries in checks for data quality
Use SodaCL to write human-readable checks for data quality
Define an anomaly detection check
Define a schema check
Apply freshness checks, reference checks, and row-count comparisons between datasets

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 an integration with Slack to collaborate on investigations
Prepare service level agreements for data quality with stakeholders in your organization

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

Feature or functionality	+
Integrate with AirFlow to automate scans and actions proceeding from scan results
Integrate with Slack 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 view dbt tests from within Soda Cloud.

Feature or functionality	+
Take advantage of automatic data profiling for datasets and columns
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 an API to gain insight into the health of your dataset and your Soda Cloud account user activity

Learn more about Soda products in general and how the 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.

Was this documentation helpful?

What could we do to improve this page?

Last modified on 30-Sep-22