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Fully automated data quality platform
Mango3 is a next-gen data quality platform using AI to detect data quality issues like duplicate, missing, incomplete, obsolete and inaccurate data.
Trusted by most innovative brands and industry leaders
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Enable smart data observability
Save thounsands of hours with Mango 3 predictive and adaptive algorithm that automatically create and adapt data quality rules to detect duplicate, missing, incomplete, obsolete and inaccurate data.
Monitor data volume, freshness, completeness, distinctness, uniqueness and statistical distribution.
Add custom unit tests
For business and data teams, Mango 3 User Interface allows users to create custom data quality rules without code in less than one minute. Use our unit test recommendation engine to save time profiling data to define quality rules.
Monitor business tools reliability
Easily add you data driven business tools and link them to data observabilities and unit tests to get a live reliability scoring.
Our friendly interface will help business teams instantly know when their reporting & dashboard reliability, algorithms performance are impacted by poor data quality.
And many other features
Flexible pricing for data teams
Start improving data quality in minutes.
Got questions ?
What is a data quality test ?
A data quality test is the action of testing data againt a data quality rule. The result of a data quality test is a success or a failure.
Ex : Is user_id complete ? Was the last refresh data between 0 and 24h ?
Is my data collected by Mango 3 ?
Your data stays in your environment, we never collect your data. We only collect metadata and aggregate values to perform our anomaly detection algorithm.
Does Mango 3 impact my data warehouse costs ?
Mango 3 anomaly detection is performed in Mango 3 environment. Collecting metadata and aggregate values (ex : completeness) is done through your data warehouse. Our optimization makes it very very cheap. You can easily retrieve the cost of data quality jobs.
What kind of data does Mango 3 support ?
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What are the connectors available ?
We developped connectors for the main data warehouses like Google Bigquery, AWS Redshift, Snowflake, Microsoft SQL Server, Microsoft Azure Synpase. If your connector is not among the list please contact us.
What are the steps to set up Mango 3 ?
Mango 3 is very easy to set up (less than 5 mins). You will have to grant reader permissions to our service account to be able to collect metadata. Then go on "Datasources" > "Create" and follow the steps. We provide a detailed documentation to do it.