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Data observability at the source

Monitor data in real-time.
Cut resolution time in half.
Restore trust in data.

Illustration Data Issue

Instead of cleaning
up data messes,
prevent them

If you can only observe data downstream from pipelines, you can only troubleshoot after flawed data hits stakeholders.

Monitor data in real time

Kensu’s agent-based deployment approach is setting the standard for the industry.

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Product Lineage

Troubleshoot faster and smarter

Instantly identify the root cause, every impacted system, and the best person to call when something goes wrong.

More trust,
less wasted time

Kensu’s agent-based deployment guides data teams to the best solution in the shortest time, building trust and efficiency. 

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Avatar Stephen Catanzano

“Data Observability from Kensu uses agents embedded in each application to gather data faster, cut resolution times in half and create the confidence and trust in data required by data users, including data scientists, DataOps, management, and consumers.”

Stephen Catanzano
Senior Analyst Enterprise Strategy Group 

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In the Press

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CIO review Award

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Kensu Platform now Powered by Snowflake

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2023 Data Observability Trends by O’Reilly Author Andy Petrella

Discover how UniCredit mitigates data incidents at the source with Kensu

Deep dive into this case study to find out how Kensu is helping this pan-European Commercial Banking group prevent data incidents and gain more visibility over their CRM data pipelines.

cover UniCredit case study