Real-time monitoring

Data Observability

Stay ahead of data issues, from detecting schema changes to identifying duplicates and null values. These checks will help you quickly uncover potential data issues.

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Trusted by the data-driven companies

No more firefighting

Out-of-the-box tests, with option for custom

Choose which fields to monitor with readily available test types such as null%, regex_match and cardinality. If you have a specific business use case, you can also leverage our custom monitors to write specific SQL scripts to run tests.

Quickly triage incidents and assign ownership

See more context on each incident with its historical trend and give feedback to our ML-powered incident model. See the list of affected rows that had triggered the failing test to get to the root cause. You can then assign incidents to specific users to take action for resolution.

Deliver alerts to where you want them

Incident notifications are delivered right where it’s needed - to a team email, or a Slack channel, or your custom application via webhook. Further set up custom channels for each monitor to keep the right people in the loop.

Check impacted assets and notify their owners

From your downstream lineage and linked assets in the Glossary, we will show you all impacted assets from the incident. Inform owners of these incidents directly, and also let them know once the incident has been resolved.

Simple monitoring setup with just a few clicks

One control panel to set up all your monitoring needs without going into each table in your data source. Save your time by setting up all your field monitors from one view.

Our partners

Custom SQL Test

Write your own tests with SQL scripts to set up monitoring specific to your needs.

Error spotting

Find where the incident took place and replicate events for faster resolution times.

Bulk configuration

Enable monitoring across multiple tables within sources by our one-page bulk config.

No more firefighting.

Preset field monitors

Choose which fields to monitor with 12 available test types such as null%, regex_match, cardinality etc.

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ML-powered tests for data quality

Thresholds for table tests such as Volume and Freshness are auto-detected by our system once data source is connected.

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Smart alerts

Alerts are grouped so we don't spam you 100s of notifications. We also deliver them directly to your email or Slack.

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Data Reconciliation

Always experience missing data? Check for data-diffs between any two datasets such as your staging and production tables.

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People are loving Decube, see what you are missing

“We have been using this platform for a few months now, and we are extremely satisfied with the results. The platform has helped us to improve the quality of our data and make better business decisions.”

Hendrie | Head - Data Engineering @ Koinworks

“Our company has been using this platform for the past 2 months and it has completely transformed the way we manage our data. The observability features have been especially valuable, allowing us to identify and resolve issues in near real-time”

Simon | Data Engineer @ Flowerchimp

“The data observability features have been a real lifesaver for our organization. We are now able to detect and fix problems in our data pipeline much faster than before.”

Siva | OpsEngineer @ Kollect

All in one place

Comprehensive and centralized solution for data governance, and observability.

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