Bring data quality to data mesh with Soda
Monitor, validate, and govern data across all domains enabling autonomous teams to produce trusted, discoverable, and actionable datasets.
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Confidence in every data product
Automatically reconcile data between domains, monitor transformations in real time, and apply data contracts that keep every data product aligned and trustworthy.
Enforce data quality agreement across domains
Soda turns shared agreements into automated, enforceable tests across pipelines. This ensures every domain delivers data products that meet agreed standards, fostering trust, discoverability, and consistency throughout the mesh without central bottlenecks.
Bi-directional integration for complete visibility
Soda converts governance policies into enforceable tests and controls. Domains stay aligned with agreed standards without manual oversight. Autonomous teams can focus on delivering data products instead of policing quality. This maintains consistency and trust across the mesh.
Scale check authoring with AI assistance
Quickly trace issues to their root cause with full context from data contracts, anomalies, and historical runs.
With every failed record automatically linked to its check and timestamp, teams can investigate, compare, and resolve issues faster.
Deploy easily and securely at scale
Soda’s self-hosted deployment gives data architects complete control over security, scale, and compliance. Deploy Soda Cloud and its agents directly in your Kubernetes or cloud environment to run quality checks, data contracts, and monitoring at scale — without sending data outside your network.
Protected by SOC 2 Type II compliance and enterprise-grade encryption, all credentials, metadata, and quality results stay within your own infrastructure, respecting your access controls, governance rules, and audit trails.
