DQOps empowers organizations with a comprehensive, open-source data quality platform designed to streamline every stage of data management. Its advanced capabilities include profiling new data sources, automating data quality checks, and detecting issues through AI-powered anomaly detection and data observability. With features such as data quality rule automation and seamless integration into data pipelines, DQOps simplifies identifying and addressing data anomalies and schema drifts. The platform leverages AI-driven advanced data assessment and a rule mining engine to proactively suggest configurations for common data quality issues, ensuring data reliability. Teams can measure data quality KPI scores, verify data contracts, and monitor compliance with data quality SLAs. Its ability to group issues into incidents and manage workflows helps organizations efficiently assign and resolve problems. Users benefit from YAML-based configuration with code completion and in-line documentation, making customization in Visual Studio Code intuitive and user-friendly. By automating data quality processes and offering an end-to-end solution, DQOps ensures data integrity while saving time and effort. Whether you’re focused on anomaly detection with AI, managing incident workflows, or measuring data quality KPIs to showcase value to stakeholders, DQOps is an innovative partner in delivering consistent and trustworthy data.
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Platforms Supported
Organization Types Supported
API Support
Modes of Support
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Pricing Plans
Free Free
Features
Personal $600.00 $600.00 per month
Features
Team $2,000.00 $2,000.00 per month
Features
Enterprise Custom
Features
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Disclaimer: The pricing details were last updated on 28/11/2024 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.
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Does DQOps provide API?
No, DQOps does not provide API.
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