Data observability platform for lakehouse - AI tools

Acceldata provides a unified data observability platform to ensure data quality, prevent failures, and control costs for hybrid and multi-cloud data stacks. It helps businesses build a strong AI foundation with high-quality, reliable data.

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Telmai offers a comprehensive data observability platform for data lakes and lakehouses, utilizing AI to ensure data quality and reliability without sampling or increasing cloud costs.

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Metaplane is a data observability platform that helps data teams monitor data quality, lineage, and spend, ensuring data reliability and trust.

• Freemium

digna is an AI-powered data quality and observability platform that automatically detects anomalies, monitors data arrival, validates records, and tracks schema changes to ensure reliable business insights.

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Orchestra provides an enterprise-grade platform for building, monitoring, and managing AI and data workflows, focusing on orchestration, observability, and data quality across major cloud environments.

• Freemium
• From 600$

DQLabs provides an AI-driven platform combining data observability, quality, discovery, and remediation to help organizations deliver reliable and accurate data for improved business outcomes.

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Decube is a unified data trust platform providing data observability, discovery, and governance, utilizing AI to ensure data quality and reliability for modern data stacks.

• Freemium

HyperDX is an open-source observability platform that unifies session replays, logs, traces, metrics, and errors with blazing-fast search performance powered by ClickHouse, helping engineering teams resolve production issues quickly and cost-effectively.

• Freemium
• From 20$

Logz.io is an AI-powered observability platform offering advanced log management, metrics, and distributed tracing to accelerate root cause analysis and system monitoring for modern IT environments.

• Freemium
• From 28$