We have a shared belief in improving end-to-end data issue workflows so that data teams have the power to prioritize and resolve issues across an entire organization.
Soda offers a highly intuitive environment where business and technical users can collaborate to tackle their data quality problems and address some of the main impediments of sustaining data quality programs.
“Cool Vendors in Data Management”
Soda gives us the end-to-end observability we need to be more confident about the data that is feeding our AI and ML powered digital engines, meaning that instead of being reactive to issues, that sit behind our retail platform.
Head of Big Data & AI
Define and align data quality expectations.
Easily track data agreements made between domain teams to ensure that your data is, and remains, fit for purpose.
Agreements workflow to align on data expectations
Easy collaboration between data domain teams
One language to define what good data looks like
Assign and conquer your data issues.
Kick off and track incident tickets easily within Soda, streamlining issue resolution and decreasing data downtime.
Integrate with your existing ticketing system.
Create incidents at the record or dataset level.
Assign the right people to resolve the issue.
Health dashboards for all your datasets.
Soda dashboards answer critical questions about the health and quality of your data.
Is data meeting data quality agreements?
Do you have good testing coverage of your data?
Is your team adopting data best practices?
Integrate with the tools in your stack.
Soda integrates with the tools your data team is already using. See all of our Integrations.
Email and Slack for collaboration and communication
Alation, Amundsen, Metaphor data catalogs
Jira, Opsgenie, and ServiceNow for incident management
Choose your flavor of Soda.
Get started with Soda Open Source or Soda Teams. And when you’re ready, scale up to Soda Enterprise.