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Key Features
AI-powered data quality automationCollaborative data contracts for business and engineeringAutomated isolation, management, and fixing of bad data at sourceMetrics monitoring with proprietary AI algorithms (outperforms Facebook Prophet)AI Automations for generating data contracts and checks from plain EnglishRecord-Level Anomaly Detection (RAD) across columns, rows, and segmentsInteractive data observability visualizationsSmart and adaptive thresholds for data quality checks
Soda is a data quality platform that helps organizations prevent data incidents before they impact production. It offers a unified workflow for both engineers and business users, powered by advanced AI. The platform automatically detects, explains, and helps resolve data quality issues as they emerge, directly at the source within your environment.
Soda leverages proprietary AI for faster and more accurate data quality monitoring, including metrics monitoring, record-level anomaly detection, and AI automations for generating data contracts and checks. It provides comprehensive data observability with interactive visualizations, smart thresholds, and continuous AI improvement through user feedback. This allows teams to scale monitoring efforts without manual scripting, discover unknown data issues, and automate data and pipeline testing.
Soda is a data quality platform that uses advanced AI to automatically detect, explain, and help resolve data quality issues across an organization's data landscape. It provides tools for data observability, anomaly detection, and automated data quality checks.
How much does Soda Core cost?
The pricing for Soda is not explicitly stated on the provided pages. It is likely a paid enterprise solution, and interested users are encouraged to book a demo to discuss pricing.
Is Soda Core free?
Based on the provided content, there is no mention of a free tier or free trial for Soda. It appears to be a paid product.
Who is Soda Core for?
Soda is designed for both data engineers and business users who need to ensure high data quality. It aims to unite these teams with collaborative, AI-powered data contracts and a shared workflow for managing data incidents.