Skip to content

Make data breakdowns disappear

With Kensu, a single engineer can solve data problems that currently take a full team weeks—in less than an hour. 

Broken pipeline

 

Rule recommendations

Deploy data observability faster with AI-suggested rules

Kensu’s AI-powered Profiler leverages insights about data at rest and in motion to suggest monitoring rules so you can accelerate the expansion of data observability coverage in minutes.

Set up observability agents without touching code

Kensu’s Agent Remote Controller lets you quickly configure the observability agents through a user-friendly interface without touching the application code base. 

Agent Remote Controller
Circuit breaker

Freeze applications automatically and avoid
issues propagation

Kensu Circuit Breaker can require an application to stop working as soon as an incident has been detected, so you have time to solve the issue before it hits users.

Learn when something goes wrong, instantly

Kensu Notifier sends an alert when a rule fails, while Kensu Tickets reveals the affected data source and what went wrong.

Product Notifier
Product Lineage

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.

Dig in, analyze the issue, and cut resolution time in half

Kensu Observations illuminates the backstory behind the problem for every affected data source.

Product Observations

A seamless fit for your data stack

Circles
Circles vertical
   

Integrations

Kensu integrates with the apps data teams rely on. 

Data Catalogs

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.

Logo  Collibra
Logo DataGalaxy
Logo Alation

Transformation

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.

Logo pandas
Logo dbt
Logo databricks
Logo Azure Data Factory
Logo Airbyte
Logo AWS Glue
Logo Kafka
Logo Meltano
Logo Beam
Logo Flink
Logo Cloud Dataflow
 

Datastores

The Kensu datastore integration supports observations of data at rest within data lakes, data warehouses, graph databases, and traditional relational databases.

Logo GCP
Logo Snowflake
Logo databricks (coming soon)
Logo MongoDB (coming soon)
logo Amazin TimeStream (coming soon)
Logo PostgreSQL (coming soon)
Logo Amazon Redshift (coming soon)

Communication

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.

Logo Slack
Logo Atlassian
Logo PagerDuty
Logo Microsoft Teams
Logo Servicenow
Logo Opsgenie

Orchestration

The Kensu orchestration integration provides lineage information which complements the direct acyclic graph view of your favorite orchestration tool.

Logo Google Cloud Composer
Logo Apache Spark for product page
Logo Dagster
Logo Prefect

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.

Logo tableau
Logo Looker
Logo Power BI

Machine Learning

Kensu machine learning integration adds lineage and observability throughout your machine learning workflow, to enhance the reliability of your data science projects.

Logo Jupyter
Logo MLflow
Logo Scikit
Logo TensorFlow
Logo Rstudio

Application Monitoring

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.

Logo  DataDog

 

Any data environment. Any cloud.

Only Kensu offers the flexibility to deploy on-prem, in the cloud, or in a hybrid data environment. 

Architecture v2.1
Avatar Paolo Platter

“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.”

Paolo Platter
CTO & Co-Founder

Logo Agile Lab White Transparent Background

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?