Soda

Founded by Maarten Masschelein in 2020

Find, monitor, and fix data quality issues across your databases and pipelines

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Soda to test, monitor, and fix data quality issues across your data warehouse and processing pipelines. Engineers can write data checks as code in Git, while business teams define rules through a visual interface. It lets you create collaborative data contracts, run automated anomaly detection on billion-row tables, and catch schema breakages or missing records before downstream reporting fails. You can store failed records in a diagnostics warehouse, trace incidents directly to source systems, and resolve bad records before they hit production.

What Soda does

Write automated data validation rules in plain EnglishTrack schema alterations across tablesIsolate invalid customer or transaction records into a diagnostics warehouseBacktest historical datasets to identify baseline metric trendsCreate and manage version-controlled data contractsConfigure custom freshness thresholds for incoming pipeline tablesSend alert notifications when data anomalies appearRow-level anomaly detection on large datasetsCollaborative data contracts managed in Git or a visual interfaceAutomated checks written in plain EnglishDedicated diagnostics warehouse for isolating failed recordsHistorical backfilling and backtesting for trend analysisContinuous schema validation and data freshness monitoringRoot cause tracing back to data source systems

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price

FreeFree

Team$750 / mo

Frequently asked

Databricks Slack

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