Telmai named one of the most promising data startups by Business Insider!  Read More

Watch Telmai in action !

Watch Telmai in action !
Mona Rakibe

This is a short demo on how Telmai works

  • Connect to any steps in the data pipeline like source system, raw data source (S3, Blob, GCS), DW (BigQuery, Snowflake, Redshift ), or streaming source like Kafka/pub-sub. Telmai works best for your spark based pipelines :-)
  • Telmai will automatically learn all about your data-set like its schema, volume, value distributions, completeness/uniqueness of values, expected ranges, expected values, etc., and present it to users. Users can then identify outliers and provide input to our system using our Human in the loop approach.
  • Telmai will automatically start monitoring the incoming data for any drifts in the data metrics over time-time. Users will automatically get alerted if there is an unexpected change in data.

Data owners can then proactively review these drifts before a downstream impact.

Stay in touch

Stay updated with our progress. Sign up now

By subscribing you agree to with our Privacy Policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

More like this

5 Reasons to Consider Centralized Data Observability for Your Modern Data Stack

Is metadata driven freshness misleading you?

Announcing Telmai's Data Observability for your Delta Lake

Data Observability and Metadata Observability - Same Problem, Different Solutions

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