End-to-End Data Reliability for Your AWS Data Platform
Discover how Telmai enhances data reliability through proactive data quality monitoring and automated anomaly detection.
Build Trusted Analytics and Data Products Faster
Telmai’s low-code, no-code data observability product proactively detects data quality issues, anomalies and drifts in Amazon S3, Redshift, Glue, Athena, or streaming pipelines on Kinesis to help data teams create and monitor their data products, analytics and reporting, streaming applications, and advanced machine learning models faster and at a fraction of the cost and resources.
Monitor the Data Itself—Not Just Metadata
Go beyond schema checks and job status metrics. Telmai continuously monitors both metadata (like schema changes, completeness, and uniqueness) and data values for accuracy, anomalies, drifts, and pattern changes. This gives AWS data teams a deeper, more actionable view of data health across their pipelines.
Performance and Scale at Low TCO
Telmai’s petabyte-scale platform, powered by a scalable Spark engine, runs data quality analysis and scoring independently of your AWS data services. This architecture avoids adding query load to Redshift, Athena, or Glue jobs ensuring data quality monitoring capabilities never slows down operational systems or drives up infrastructure costs.
Telmai is a AWS Partner
We have shared customers and have gone through technical evaluation with AWS to ensure our integration is designed for the best performance, architecture, and scale.
Become a partner
Request a demo to see the full power of Telmai’s data observability tool for yourself.