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Telmai is a data observability and data quality platform designed for open architecture. It provides users with the tools needed to monitor, manage, and maintain high-quality data across their systems. The platform allows users to schedule tasks and manage data workflows efficiently, ensuring that data is accurate, reliable, and accessible.

Key features of Telmai include its ability to integrate with various data systems, offering a comprehensive view of data health and performance. This integration enables users to identify and address data quality issues promptly, which is crucial for maintaining data integrity and supporting informed decision-making processes. By focusing on data observability, Telmai helps organizations optimize their data management practices, leading to improved data-driven insights and operational efficiency.

Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structured data, Telmai automatically detects anomalies, drifts, and data quality issues in real-time without sampling, ensuring reliable data for business intelligence, analytics, and AI workloads. Telmai's open architecture enables seamless data quality monitoring across the entire pipeline, integrating with over 250 systems, including data lakes, warehouses, streaming sources, and cloud storage. This provides deep insights into the health, accuracy, and consistency of data in complex environments. Telmai’s low-code interface empowers both business and technical teams to define custom metrics, automate remediation workflows, and ensure data is always actionable and reliable.

Categories:

Software Development

Data Quality Tools

Data Observability Software

Website: telm.ai

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