Press: Expands Snowflake Collaboration with New Exclusive Offering to Accelerate Data Trust

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December 7th:

Chat with Data Benchmark: Improving the Accuracy of LLM Responses in the Enterprise

New Benchmark:

Read the first-of-its-kind benchmark on the accuracy of LLMs in the enterprise

Upcoming Digital Event

Join’s Juan Sequeda, Principal Scientist & Head of our AI Lab, Dean Allemang, Principal Solutions Architect, and Bryon Jacob, CTO & Co-Founder, to see how a Knowledge Graph can improve the accuracy of LLM responses by 3X; and learn how a data catalog built on a Knowledge Graph can increase trust in LLMs with clear explainability and governance.

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Automated DataOps Powered by BB 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 BB 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.

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 BB Bots do?

BB Bots surface important context about the data – including data quality and usage information – directly to the applications being used to make data-driven decisions. BB Bots save data engineers time that would otherwise be spent answering questions about the state of the data and ensure that data consumers have the context they need to use data confidently.

What problem do BB Bots help solve?

Data engineers spend as much as 30 percent of their time answering and re-answering questions about data. Despite all the time updating data consumers, more than 60% of business users don’t trust the decisions they make using data. BB Bots close this communications gap with automated in-app notifications on data quality and usage.

How do BB Bots work?

BB Bots monitor the Data Catalog Platform and orchestration tools, like Airflow, dbt, and Matillion, to surface key context about the data analytics pipeline. BB Bots surface usage information from the catalog, like definitions, lineage, owner, and policies, and data quality and pipeline health information from orchestration tools. All of this information is surfaced in the catalog and the applications that data consumers are using, like Looker, PowerBI, and Tableau.

What differentiates BB Bots from other offerings?

The flexibility of’s cloud-native Data Catalog Platform means context can be pulled from a wide variety of sources, including 15 different data tools across the modern data stack, and a variety of BI & data analytics tools – with more connections on the way to streamline communication for data processes.

What kind of information can BB Bots deliver and Hoots display?

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 BB Bots integrate with?

Currently supported integrations for real-time updates include Airflow, dbt, dbt Cloud, Matillion, Microsoft PowerShell, Python, Ruby. Fully supported BI and analytics tools include Looker, Power BI, and Tableau with full support coming for tools like Airtable, Google Data Studio, Sigma, and more soon.

Learn about closing the communication gap

See how your DataOps team can set et 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.