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(max-width:768px){body{font-size:16px;font-family:Arimo;font-weight:400;line-height:30px}h1{font-family:Inter;font-weight:600;font-style:normal;font-size:36px;text-transform:none;line-height:53px}h2{font-family:Inter;font-weight:600;font-style:normal;font-size:32px;text-transform:none;line-height:46px}h5{font-family:Inter;font-weight:800;font-style:normal;font-size:20px;text-transform:none;line-height:26px}h6{font-family:Inter;font-weight:600;font-style:normal;font-size:18px;text-transform:none;line-height:28px}button{font-family:Inter;font-weight:400;font-style:normal;font-size:13px!important;text-transform:uppercase;letter-spacing:.5px}a{color:#999}button{background-color:#e60000;color:#fff}#eut-body{background-repeat:no-repeat;background-size:contain;background-attachment:fixed}a{color:unset}.s0{fill:#000}.s0{fill:#000}.s0{fill:#000}.s0{fill:#000}.s0{fill:#000}.s0{fill:#000}.s0{fill:#000}.s0{fill:#000}}
in the 2025 Gartner® Magic Quadrant™ For Augmented Data Quality Solutions
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Monitor data health, system reliability, and minimize data downtime for faster innovation.
Book a DemoDQLabs enables tech organizations to accelerate innovation, ensure uptime, and optimize costs with data observability.
Gain end-to-end visibility and control across your data landscape with data, pipeline, usage, and cost observability.
Technology companies must comply with regulations like GDPR, CCPA, SOC 2, and sometimes HIPAA, which require secure data handling, privacy controls, and thorough audit trails. Data observability platforms enable real-time monitoring of data flows, offer automated and detailed data lineage, and facilitate audit-ready reporting. This helps technology organizations stay compliant, streamline audits, and reduce the risk of breaches or data privacy incidents.
Continuous monitoring of data pipelines allows technology teams to quickly identify and resolve issues such as data delays, outages, or inconsistencies. By leveraging AI-driven anomaly detection and real-time alerts, data observability minimizes unplanned downtime, ensuring mission-critical services remain reliable and maintain excellent user experiences.
End-to-end data lineage provides clear visibility into the origin, transformation, and usage of data. This transparency accelerates root cause analysis for errors, supports compliance and audit requirements, and enhances trust in data-driven decisions—all crucial for fast-moving technology companies relying on complex data ecosystems.
DQLabs offers granular cost observability by tracking usage patterns, identifying resource-intensive or inefficient queries, and highlighting spending trends. These insights empower technology companies to optimize cloud infrastructure investments and reduce operational expenses while maintaining high data quality and system performance.
Let our experts show you the combined power of Data Observability, Data Quality, and Data Discovery.
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