Monitor any step of pipeline

Shift data monitoring to the left

Telmai allows you to easily monitor data metrics at any batch or streaming step of the data pipeline . You can connect further ‘upstream’ to monitor closest to sources of issues reducing a lot of investigation time and money.

Batch and real-time sources

Telmai can read JSON, Parquet, CSV and Avro

Batch sources supported by Telmai are, flat files, GCS, BigQuery, Redshift, Snowflake, PostGresSQL, S3, Azure Blob and FireBolt.

Real-Time Sources supported are AWS Kinesis, Google Pub-sub, Kafta

Flat and semi-structured schema

Telmai supports data in the form of New Line Delimited Json(NDJSON) and semi-structured schemas via parquet, BigQuery, and Snowflake.

Telmai performs complete analysis on all attributes, even nested and multivalued to find outliers. Telmai is designed to perform such analysis on hundreds of nested attributes having an unlimited number of elements in the arrays with no impact on performance.

Scheduled runs and CDC

Telmai provides a way to schedule runs with specific periodicity, i.e., hourly, daily, or weekly for the batch data source.

Additionally, you can configure Telmai to process and monitors only the changed data.

Telmai is a platform for the Data Teams to proactively
detect and investigate anomalies in real-time.
© 2022 Telm.ai All right reserved.