Kensu
Why Choose Kensu?
Choose this if you need a smart data observability tool that not only tracks your data but also helps prevent issues before they spread. Its unique approach lets your teams trust the data they work with and scale projects smoothly.
Kensu is a Data Observability solution that offers companies the opportunity to monitor their data usage and scale with more data projects, thanks to its unique platform and "Data Observability Driven Development" (DODD) method. Our disruptive approach goes further than simply scanning data sources: it monitors data where and when it is being used by your applications, so users are always in control and can "Trust what they deliver".
Kensu Introduction
What is Kensu?
Our low latency data observability solution alerts about data issues, prevents their propagation, and highlights which applications are impacted. To foster a data-driven culture, automation of data observability at scale is essential. The best way to achieve this is through what is called Data Observability Driven Development [DODD] which implies observable information is produced by the applications. The method is a paradigm shift that allows data teams and data usage to scale efficiently. DODD is done from within the applications to enable data projects with synchronized observability, continuous validation, and contextual observability.
How to use Kensu?
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Why Choose Kensu?
Choose this if you need a smart data observability tool that not only tracks your data but also helps prevent issues before they spread. Its unique approach lets your teams trust the data they work with and scale projects smoothly.
Kensu Features
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About Kensu
What Is Kensu?
Our low latency data observability solution alerts about data issues, prevents their propagation, and highlights which applications are impacted. To foster a data-driven culture, automation of data observability at scale is essential. The best way to achieve this is through what is called Data Observability Driven Development [DODD] which implies observable information is produced by the applications. The method is a paradigm shift that allows data teams and data usage to scale efficiently. DODD is done from within the applications to enable data projects with synchronized observability, continuous validation, and contextual observability.
Best For
- Teams evaluating Data Observability Software solutions
- Ccpa workflows
- Compliance workflows
- Data workflows
- Data issues workflows