Make data breakdowns disappear
With Kensu, a single engineer can diagnose data problems that currently take a full team weeks—in less than an hour.
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Kensu Notifier sends an alert when a rule fails
Get informed in seconds
Kensu Tickets reveals the affected data source and what went wrong
Dig in and analyze the issue
Kensu Observations illuminates the backstory behind the problem for every affected data source
Understand what happened and why
Kensu Explorer uses the data lineage to reveal the underlying causes of the issue, with detailed metrics on what’s changed in the affected data pipeline.
Solve the problem
Kensu’s Project Application view puts the codebase one click away. Recommended Rules suggests rules based on the metrics you’re paying attention to and the history of your data.
Prevent the issue from happening again
Kensu Rules automatically suggests rules based on your data metrics and history and lets engineers add unlimited custom safeguards to anticipate and avoid data breakdowns.
A seamless fit for your data stack
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The Kensu data catalog integration incorporates observability insights about metadata, lineage, and quality rules to help organizations drive full value from their investment in their data catalog.
The Kensu transformation integration provides real-time metadata and lineage plus comprehensive contextual information to troubleshoot and fix data processing issues, in data transformation pipelines.
The Kensu datastore integration supports observations of data at rest within data lakes, data warehouses, graph databases, and traditional relational databases.
By adding the Kensu communication integration to your communication tools, you can send real-time, actionable alerts in the place where your teams already work.
The Kensu orchestration integration provides lineage information which complements the direct acyclic graph view of your favorite orchestration tool.
Business Intelligence (BI)
Kensu BI integration delivers column level lineage and observability to help understand the downstream impact of data issues in BI tools therefore increasing trust in KPIs for all business stakeholders.
Kensu machine learning integration adds lineage and observability throughout your machine learning workflow, to enhance the reliability of your data science projects.
The Kensu application monitoring integration provides a holistic understanding of a company’s data operations in relation to its underlying infrastructure, in a single interface.
Any data environment. Any cloud.
Only Kensu offers the flexibility to deploy on-prem, in the cloud, or in a hybrid data environment.
“Kensu comes with a data observability solution having a clear alignment with the Data Mesh principles. So that, by design, all data products are behaving transparently for anyone.”
CTO & Co-Founder
Powerful. Simple. Scalable.
One solution for on-prem or cloud. Two lines of code to integrate. Three hours to initiate. Four weeks to scale.
Interested in learning more?