Skip to content

Get started today with a free Kensu account

In just three weeks, discover how data observability can prevent bad data from hurting your business.

  • Explore all Kensu features

  • Try different use cases

  • Obtain access to learning resources

Try our top use cases

Logo Matillion small transparent high resolution

Without touching code, get complete visibility over data pipelines. See how to prevent data incidents from propagating and to handle them twice as fast.

Get started easily with our Matillion environment, or connect Kensu to your own instance to discover its capabilities with your own data.

Logo Databricks white small transparent

Add observability agents to data pipelines in one click. Immediately harvest metadata, lineage, and metrics and understand how to stop flawed data to reach users.

Explore Kensu features in our Databricks environment, or connect our platform to your instance to try our platform directly with your data. 

Do you have data to observe in another environment?

Logo Googe Big Query off-centered

Logo Azure Data Factory off-centered

Logo Fivertran off-centered

Logo Airbyte off-centered

Logo dbt off-centered

Logo PostgreSQL off-centered

Logo mongoDB off-centered

Logo Amazon Redshift off-centered

Logo Power BI off-centered

Follow the guide

Step 1

Set up your first project

Project

Connect Kensu to your environment or use the default one, and get ready to discover its observability capabilities.

 

Step 2

Observe your first data pipeline

Product Lineage

See how Kensu Explorer uses the data lineage to give you complete visibility over your pipelines.

Step 3

Create and break the rules

Rules

Discover how Kensu's Profiler leverages insights about data to recommend monitoring rules so you can accelerate the expansion of data observability coverage in minutes.

 

Step 4

Get your first ticket

Ticket

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

 

Step 5

Prevent propagation

Circuit Breaker

Set up Kensu Circuit Breaker, which is a proactive protection against propagating inaccurate or incomplete data, and see how you can prevent data incidents from impacting end-users.

 

Follow the guide

Step 1

Set up your first project

Project

Connect Kensu to your environment or use the default one, and get ready to discover its observability capabilities.

 

Step 2

Observe your first data pipeline

Product Lineage

See how Kensu Explorer uses the data lineage to give you complete visibility over your pipelines.

Step 3

Create and break the rules

Rules

Discover how Kensu's Profiler leverages insights about data to recommend monitoring rules so you can accelerate the expansion of data observability coverage in minutes.

 

Step 4

Get your first ticket

Ticket

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

 

Step 5

Prevent propagation

Circuit Breaker

Set up Kensu Circuit Breaker, which is a proactive protection against propagating inaccurate or incomplete data, and see how you can prevent data incidents from impacting end-users.

 

Rob Cornell

“Kensu’s Enterprise Data Observability provides the ability to better understand the metadata, context and lineage of the data as part of a Matillion workflow. Together, Matillion and Kensu help our joint customers to proactively detect and solve data problems, saving them time and resources.”

Rob Cornell
VP Cloud and Technology Alliances at Matillion

Logo Matillion white rectangle large

Contact us

Would you like to explore the other technologies Kensu integrates with?

Book an introductory call and start your journey toward better data reliability.