
Trino
Fast distributed SQL query engine for big data analytics.

Unlock data quality automation with AI-powered data observability and collaborative data contracts.

Soda AI is an AI-native data quality platform designed to automate the detection, explanation, and resolution of data quality issues. It offers data observability, collaborative data contracts, and smart alerting features. The platform supports engineers working as code and business users through an interface with a shared workflow powered by AI. Soda AI uses machine learning algorithms to monitor data quality metrics, detect anomalies at the record level, and provide intelligent thresholds. It integrates into existing data environments to fix bad data at the source.
Soda AI is an AI-native data quality platform designed to automate the detection, explanation, and resolution of data quality issues.
Explore all tools that specialize in monitor data quality. This domain focus ensures Soda AI delivers optimized results for this specific requirement.
Explore all tools that specialize in anomaly detection. This domain focus ensures Soda AI delivers optimized results for this specific requirement.
Leverages machine learning algorithms to detect anomalies at the record level with high precision, identifying unusual data points that deviate from expected patterns.
Enables business and engineering teams to define and enforce data quality standards using AI to generate and refine contracts and checks automatically.
Automatically writes data quality checks in plain English and creates full data contracts with one click, simplifying the process of defining and enforcing data quality rules.
Intelligent and adaptive thresholds provide precise, fine-grained results and reduce false positives by learning from user feedback and adapting over time.
Interactive visualizations allow users to oversee their organization’s entire data landscape and drill down to a single anomaly, providing comprehensive visibility into data quality issues.
Connect to your data sources (e.g., databases, data warehouses).
Define data quality checks using SodaCL or the no-code interface.
Configure alerting and notification settings.
Run initial data quality scans and review results.
Implement automated data quality monitoring.
Set up collaborative workflows for data contract management.
Train AI models with feedback on expected vs. anomalous data.
All Set
Ready to go
Verified feedback from other users.
"Customers praise Soda AI for its ease of use, comprehensive data observability, and AI-powered automation, highlighting its impact on data quality and governance."
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