Data profiling and observability
Improve the data reliability for GCS and BigQuery within minutes
How does it work ?
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Within minutes you will get your account with on-boarding instructions
Connect to Google BigQuery datasource or GCS
How does it work ?
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Within minutes you will get your account with on-boarding instructions
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Connect to
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All-set, get automatically get monitored.
How does it work ?
Within minutes you will get your account with on-boarding instructions
All-set, get automatically get monitored.
Migration to GCP
Today GCP customers do not have easy data profiling and validation solution;
Often an essential step of the migration is the need to understand the data structures, content, and relationships within client data. Telmai has proven to reduce this process to a fraction of the time through our low-code no-code profiling.
Continous Data reliability
Improve Data reliability for analytics.Telmai supports full data observability capabilities to ensure continued reliability of data in BigQuery and GCS. Some of the observability features are listed below
Features for BigQuery and GCS
Automatic monitoring of 40+ predefined data metrics like schema change, row count, completeness, uniqueness, patterns, distribution change, accuracy, etc
Simple UI for expectations/rules ,no more hand-coded rules using Great Expectation or DBT expectations.
Monitoring for streaming and batch data
Support for semi-structured data, i.e., nested and multi-valued attributes.
Support multiple formats like JSON, Parquet, CSV, and Avro
Features for BigQuery and GCS
Intuitive human-in-loop model for fine-tuning thresholds, policies, or writing expectations
Dataproc(spark) processing to enable infinite scale without performance/cost impact on BigQuery
Private cloud and SaaS offering
Telmai is a platform for the Data Teams to proactively detect and investigate anomalies in real-time.