How does Soda AI handle data security and compliance?

Soda AI offers features like audit logs, custom roles, RBAC, private deployment options, and SSO support to ensure data security and compliance with industry standards.

Soda AI

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Overview

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.

Common tasks

Data Quality Monitoring Anomaly Detection Data Contract Enforcement Automated Data Quality Checks Data Observability

FAQ

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What data sources does Soda AI support?

Soda AI supports a wide range of data sources, including Databricks, Snowflake, BigQuery, AWS Redshift, PostgreSQL, and more.

How does Soda AI use AI?

Soda AI uses AI to automate data quality checks, detect anomalies, generate data contracts, and provide intelligent thresholds for alerting.

Can Soda AI integrate with my existing data stack?

Yes, Soda AI integrates with popular data tools and platforms through native integrations and marketplace extensions.

Is Soda AI suitable for both technical and business users?

Yes, Soda AI offers a shared workflow with interfaces for both engineers and business users, facilitating collaboration and ensuring data quality across the organization.

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