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Automated DataOps Powered by Sentry Bots

Save data engineering time by automating communication about data quality, lifecycle status, and context to data consumers. Increase transparency into data pipelines, dashboards, and reports to empower data consumers, increase trust in the organization’s data, and scale your data operations across your data assets and data tools.

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Automate DataOps workflows

Eliminate tedious, manual tasks for data teams by automating data pipeline updates, enhancing stakeholder communication, and automating data workflows. Provide real-time updates to data consumers so they always know the freshness of data feeding their reports and dashboards.

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Meet data consumers where they work

Grow your organization’s data culture and increase trust in your data across data analysts, data scientists, business users, and more. Surface trust signals and contextual insights directly in BI, communications, and collaboration tools that data consumers use.

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Enhance your impact analysis

Accelerate your root cause analysis and issue resolution for data pipelines by using column-level lineage to see upstream and downstream dependencies. View metrics of dashboard and report usage, monitor status history, and more to prioritize and optimize data teams' projects.

The DataOps application increases data trust.

Improve Efficiency

Broadcast timely & relevant data status updates

Improve DataOps efficiency by using’s Sentry Bots and Hoots to monitor orchestration tools and broadcast updates to data users. Surface updates directly in their everyday data analytics tools, like Tableau and Power BI. Instead of creating more noise with mass emails or general Slack channels about data pipeline issues and outages, Hoots reach the relevant consumers in the reports and dashboards they rely on.

Make informed decisions

Shine a spotlight on data quality

Sidestep the dreaded “this number doesn’t look right” scenario during a dashboard review. is the pioneer data catalog to integrate with Snowflake’s data quality features. Enable your users to find and leverage trusted data, enriched with essential context and insight.

Plugged into other key data tools like Monte Carlo, Bigeye, Soda, Airflow, and more?’s integrations can provide deeper insight into your data’s accuracy, freshness, and quality metrics.

Empower data consumers

Increase the use of trusted data assets

Empower data consumers to trust and understand their data for richer insights and analysis through seamless data freshness and report life cycle communication. Serve up context about their data, reports, and dashboards from the data catalog via Hoots. Provide links to business terms, metrics, and lineage for consumers to dig in deeper to make data-driven decisions.

Troubleshoot data issues

Deliver trusted & resilient data pipelines

Troubleshoot broken data pipelines with’s native lineage, which helps data teams trace data visually from data sources to analytics and BI tools. Query the lineage graph to find all the tables, reports, people, queries, and more that are connected to a certain dataset.

“Our DataOps practices, built on, provide a single-source-of-truth for all stakeholders to access, consume, and share insights.”
Miguel Morgado Services and Platform Product Owner at OneWeb

Frequently Asked Questions

What do Hoots do?

A Hoot surfaces important context about your data; for example, quality and usage information. Hoots live on applications where data consumers make decisions, like Looker, PowerBI, and Tableau. Data producers save time they would otherwise spend answering questions about the state of the data. Hoots also provide important context from the catalog around definitions, lineage, owners, and policies. They ensure that data consumers have whatever they need to confidently use data.

How do Sentry Bots work?

Sentry Bots monitor the Data Catalog Platform and orchestration and observability tools, like Airflow, Monte Carlo, dbt and Matillion. They automate pushing data quality information and health status to the catalog and Hoots.

What problem do Hoots & Sentry Bots help solve?

Data engineers spend up to 30% of their time answering and re-answering questions about data. But still, more than 60% of business users don’t trust the decisions they make using data. Hoots & Sentry Bots close the communications gap with automated in-app notifications on data quality and usage.

What differentiates Hoots & Sentry Bots from other offerings?

In a word: simplicity. Hoots and Sentry Bots’ automated monitoring means data users get information about their data from a wide variety of sources. Through the flexibility of’s cloud-native Data Catalog Platform, this information is all wrapped up in an easy-to-understand trust badge that you can integrate with nearly any web-based data product.

What kind of information do Hoots deliver?

The Hoots automatically surface a wealth of important information, including:

  • Metric definitions

  • Data quality updates, including pipeline health and freshness

  • Report lifecycle status

  • Analytics on the reports, including usage and ownership

  • Business glossary definitions

  • Related policy and PII information

What do Sentry Bots integrate with?

Sentry Bots have an in-app, no code integration with dbt Cloud. They can integrate with any orchestration or observability tools that can make a Rest API call: Airflow, Matillion, and many more. See our documentation on managing Sentry Bots.

What can Hoots be added to?

A Hoot can be embedded into any web-based application that has been cataloged and supports embeds or markdown. Fully supported BI and analytics tools include Looker, Power BI, Tableau, Sigma, and more. See our documentation on managing Hoots.

Learn about closing the communication gap

See how your DataOps team can set up automated data quality and data freshness updates in’s DataOps application. Broadcast these updates to data consumers in the BI, communication and collaboration tools where they work.

Operationalize building data trust and collaboration across data-driven teams

Increasing trust in data products

With, Penguin Random House UK’s team created a single source of truth where data analysts, data scientists, and other data consumers can discover data and be assured of a data product’s accuracy and data quality. Today, all of their approved, quality data products are found in with data owners and more than 1,600 measures. 

Enabling self-serve data and context

OneWeb’s data team wanted to empower their satellite engineers to find design and performance data across 30+ data lakes. They needed a self-service approach to support their data mesh strategy and enable their data professionals to find trustworthy data products. provides value to OneWeb’s data hub by providing semantic search for better discoverability and data lineage to help data consumers understand and trust data pipelines and increase confidence in their data.

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