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Our data observability platform

Kensu monitors the end-to-end quality of data usage in real-time so your team can easily prevent "datastrophes."

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Understand your data usage

It is more important to understand what you do with your data than the data itself.

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Holistic
data mapping

Analyse data quality and lineage through a single comprehensive view.

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Observability
dashboard

Get real-time insights about data usage across all your systems, projects and applications.

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End-to-end
data monitoring

Monitor data flows instead of the ever-increasing number of repositories.

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Ecosystem
enrichment

Share lineages, schemas and quality info with catalogs, glossaries and incident management systems.

Troubleshoot issues

At a glance, find the root causes of complex data issues to prevent any "datastrophes" from propagating.

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Contextual
notifications

Generate notifications about specific data events and their context.

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Traced data
manipulation

Understand how data has been collected, copied and modified by any application.

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Detection of AI-based anomalies

Detect anomalies based on historical data information.

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Root cause
analyses

Leverage lineage and historical data information to find the initial cause.

"Datastrophe" prevention

Make sure the quality of your data remains consistent at all times across your projects and applications.

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Customizable
rules engine

Define your own rules and thresholds to anticipate data issues.

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Data quality
objectives

Set data quality objectives for your applications and projects.

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Propagation
prevention

Mitigate the impact of dependencies between teams.

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Run-time
integration

Enable data quality monitoring within your application code.

We love your stack ...

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... and we've got your back

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Security

Because security matters to us and to our clients, we are SOC 2 compliant.

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On-premise

We provide an on-premise solution for corporations with specific needs.

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Cloud

You can benefit from all our features with a highly secured cloud solution.

Discover our data observability method

The “Data Observability Driven Development” method is a paradigm shift that allows data teams and data usage to scale efficiently.

Data observability is done from within the applications instead of outside to enable your data projects with continuous validation, contextual observability, avoidance of work duplication, and iterative implementation.

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Our use cases

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Less documentation.
Stronger governance
& productivity.

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Protect sensitive and private data

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Accelerate your time to market

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Create a protective shell around your data applications

Trust what you deliver.