Real-time monitoring

Data Observability

Stay ahead of data issues by quickly detecting schema changes, duplicates, and null values.

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Trusted by numerous data-driven companies

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No more firefighting

ML-powered anomaly Detection

Employ smart detection model to gauge the potential downstream impact of anomalies on data assets.

Integrate with Microsoft Teams or Slack for Instant Alerts and Notifications

By connecting our platform to Microsoft Teams or Slack, you'll never miss any failed tests or unexpected data issues.

Seamless Data Source Integration and Custom Testing

Our solution offers seamless integration with diverse data sources for effortless configuration module.

Simplified Monitoring Setup with Our Control Panel

The asset configuration feature simplifies the monitoring setup process through centralized control panel where you can set up all your monitoring needs in one place.

Custom SQL Monitors for Business Use Cases

Have the flexibility to create custom monitors for your unique business use cases. Set up custom SQL monitors to closely track query performance and identify any issue that may arise.

Set up Custom Scheduling

Configure data quality tests on a schedule that works best for you. You can choose to run these tests daily, weekly, or at any other interval you prefer.

On-Demand Monitoring

Easily run tests and perform manual checks instantly if you suspect any data quality issues.

Model Feedback

Train the alerting system by giving feedback to reduce or increase the sensitivity of alerts for ML-Generated tests.

Support for Kafka (Coming Soon)

Easily run tests and perform manual checks instantly if you suspect any data quality issues.

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

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All in one place

Comprehensive and centralized solution for data governance, and observability.

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