Trust what you deliver

Our low latency data observability solution alerts about data issues,
prevents their propagation, and highlights which applications are impacted.

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Why Data Observability?

Data Observability automates data monitoring along the pipelines to facilitate data issues troubleshooting and prevention, so data teams can improve their time to value and scale their productivity.

Data Observability also increases communication across teams by providing evidence-based information on data management ecosystems, while improving trust when it comes to put applications, models, and reports in production.

Increase
scalability

Speed
time to value

Improve
collaboration

Build
confidence

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How Data Observability should be done?

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.

Accountability
enabler

Easier
maintenance

Document
data usage

Higher
reliability

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What is the platform behind DODD?

Our data and analytics observability platform tracks and measures in real-time your data usage performance across systems, projects, and applications.

Simultaneously, it can enrich your data management ecosystem by sharing lineages, schemas and quality information with data catalogs, glossaries and incident management systems.