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.
