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Datadog acquires Metaplane to boost AI-ready data monitoring
Datadog acquires Metaplane to boost AI-ready data monitoring

Techday NZ

time24-04-2025

  • Business
  • Techday NZ

Datadog acquires Metaplane to boost AI-ready data monitoring

Datadog has acquired Metaplane, a data observability platform, to expand its offerings to data teams and provide advanced monitoring across the full data lifecycle. Metaplane delivers end-to-end data observability using machine learning-powered monitoring and column-level lineage features intended to prevent, detect and resolve data quality issues within an organisation's data infrastructure. This move comes as artificial intelligence becomes more prominent and businesses increasingly adopt cloud platforms such as Snowflake and Databricks, making the integrity and reliability of data a key consideration for companies. According to Datadog, the integration of Metaplane's capabilities will accelerate its expansion in the data observability market, enhancing its existing products, such as Data Jobs Monitoring and Data Streams Monitoring. Traditional data observability solutions, Datadog states, are primarily focused on monitoring data once it arrives within data lakes or warehouses, which can leave gaps in visibility for data teams. Datadog plans to address this challenge by ensuring coverage across the entire data lifecycle, encompassing production, transformation and consumption stages. With broader data observability, Datadog aims to support data teams as they take on greater responsibilities, including the development of artificial intelligence applications and data products, areas in which complete insight across the data stack is increasingly critical. Michael Whetten, Vice President of Product at Datadog, commented: "Observability is no longer just for developers and IT teams; it's now an essential part of data teams' day-to-day responsibilities as they manage increasingly complex and business-critical workflows. This complexity will become even more pronounced as more businesses deploy AI applications. By unifying observability across applications and data, Datadog will help organizations build reliable AI systems." Metaplane's co-founder and Chief Executive Officer, Kevin Hu, said: "Our mission at Metaplane is to help companies ensure trust in the data that powers their business. Joining forces with Datadog enables us to bring data observability to tens of thousands more companies, while bringing data teams and software teams closer together." Following the acquisition, Metaplane will continue to support its existing customers and will operate as Metaplane by Datadog, welcoming new customers as part of the expanded group. Data observability tools are designed to monitor a company's data stack, alerting teams to changes and potential failures by continuously tracking the properties and movement of data. Visibility across the full range of processes, from the origins in software systems through to transformation and consumption, provides additional assurance for data quality and reliability. By pursuing greater integration between its unified monitoring platform and Metaplane's focus on data observability, Datadog plans to enable organisations to better identify and act on data insights, supporting broader strategic initiatives around digital transformation and the development of AI-powered products.

Datadog Targets Data Observability With Metaplane Acquisition
Datadog Targets Data Observability With Metaplane Acquisition

Scoop

time24-04-2025

  • Business
  • Scoop

Datadog Targets Data Observability With Metaplane Acquisition

Press Release – Datadog Data observability tools monitor a company's data stack for changes and failures by continuously observing the properties of the underlying data. Existing tools, however, have a limited viewthey only see data after it lands in a data lake or … Datadog has announced the acquisition of Metaplane, an end-to-end data observability platform that provides advanced machine learning-powered monitoring and column-level lineage to prevent, detect and resolve data quality issues across a company's entire data stack. With the emergence of AI and widespread adoption of platforms like Snowflake and Databricks, trust in data has never been more critical to the growth of a business. The acquisition of Metaplane accelerates Datadog's expansion into data observability—building on launches of related products like Data Jobs Monitoring and Data Streams Monitoring. Data observability tools monitor a company's data stack for changes and failures by continuously observing the properties of the underlying data. Existing tools, however, have a limited view—they only see data after it lands in a data lake or warehouse. For data teams to be proactive, they need visibility across the full end-to-end data lifecycle—from production in software systems to transformation and consumption. This visibility has taken on more importance as data teams have become responsible for building AI applications and data products. Datadog's acquisition of Metaplane will ultimately empower data teams to take action on insights and make a broader impact throughout their organisations and across the complete data stack. 'Observability is no longer just for developers and IT teams; it's now an essential part of data teams' day-to-day responsibilities as they manage increasingly complex and business-critical workflows,' said Michael Whetten, VP of Product at Datadog. 'This complexity will become even more pronounced as more businesses deploy AI applications. By unifying observability across applications and data, Datadog will help organisations build reliable AI systems.' 'Our mission at Metaplane is to help companies ensure trust in the data that powers their business. Joining forces with Datadog enables us to bring data observability to tens of thousands more companies, while bringing data teams and software teams closer together,' said Kevin Hu, co-founder and CEO of Metaplane. Metaplane will continue supporting existing customers and bringing on new customers as part of Metaplane by Datadog. About Datadog Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organisations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behaviour and track key business metrics. Forward-Looking Statements This press release may include certain 'forward-looking statements' within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption 'Risk Factors' and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-K filed with the Securities and Exchange Commission on February 20, 2025, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Datadog Targets Data Observability With Metaplane Acquisition
Datadog Targets Data Observability With Metaplane Acquisition

Scoop

time24-04-2025

  • Business
  • Scoop

Datadog Targets Data Observability With Metaplane Acquisition

Datadog has announced the acquisition of Metaplane, an end-to-end data observability platform that provides advanced machine learning-powered monitoring and column-level lineage to prevent, detect and resolve data quality issues across a company's entire data stack. With the emergence of AI and widespread adoption of platforms like Snowflake and Databricks, trust in data has never been more critical to the growth of a business. The acquisition of Metaplane accelerates Datadog's expansion into data observability—building on launches of related products like Data Jobs Monitoring and Data Streams Monitoring. Data observability tools monitor a company's data stack for changes and failures by continuously observing the properties of the underlying data. Existing tools, however, have a limited view—they only see data after it lands in a data lake or warehouse. For data teams to be proactive, they need visibility across the full end-to-end data lifecycle—from production in software systems to transformation and consumption. This visibility has taken on more importance as data teams have become responsible for building AI applications and data products. Datadog's acquisition of Metaplane will ultimately empower data teams to take action on insights and make a broader impact throughout their organisations and across the complete data stack. 'Observability is no longer just for developers and IT teams; it's now an essential part of data teams' day-to-day responsibilities as they manage increasingly complex and business-critical workflows,' said Michael Whetten, VP of Product at Datadog. 'This complexity will become even more pronounced as more businesses deploy AI applications. By unifying observability across applications and data, Datadog will help organisations build reliable AI systems.' 'Our mission at Metaplane is to help companies ensure trust in the data that powers their business. Joining forces with Datadog enables us to bring data observability to tens of thousands more companies, while bringing data teams and software teams closer together,' said Kevin Hu, co-founder and CEO of Metaplane. Metaplane will continue supporting existing customers and bringing on new customers as part of Metaplane by Datadog. About Datadog Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organisations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behaviour and track key business metrics. Forward-Looking Statements This press release may include certain 'forward-looking statements' within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption 'Risk Factors' and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-K filed with the Securities and Exchange Commission on February 20, 2025, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or otherwise.

Datadog Brings Observability to Data Teams by Acquiring Metaplane
Datadog Brings Observability to Data Teams by Acquiring Metaplane

Yahoo

time23-04-2025

  • Business
  • Yahoo

Datadog Brings Observability to Data Teams by Acquiring Metaplane

The acquisition will enable data engineers to proactively take action on data observability insights New York, New York--(Newsfile Corp. - April 23, 2025) - Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today announced it has acquired Metaplane, an end-to-end data observability platform that provides advanced machine learning-powered monitoring and column-level lineage to prevent, detect and resolve data quality issues across a company's entire data stack. With the emergence of AI and widespread adoption of platforms like Snowflake and Databricks, trust in data has never been more critical to the growth of a business. The acquisition of Metaplane accelerates Datadog's expansion into data observability-building on launches of related products like Data Jobs Monitoring and Data Streams Monitoring. Data observability tools monitor a company's data stack for changes and failures by continuously observing the properties of the underlying data. Existing tools, however, have a limited view-they only see data after it lands in a data lake or warehouse. For data teams to be proactive, they need visibility across the full end-to-end data lifecycle-from production in software systems to transformation and consumption. This visibility has taken on more importance as data teams have become responsible for building AI applications and data products. Datadog's acquisition of Metaplane will ultimately empower data teams to take action on insights and make a broader impact throughout their organizations and across the complete data stack. "Observability is no longer just for developers and IT teams; it's now an essential part of data teams' day-to-day responsibilities as they manage increasingly complex and business-critical workflows," said Michael Whetten, VP of Product at Datadog. "This complexity will become even more pronounced as more businesses deploy AI applications. By unifying observability across applications and data, Datadog will help organizations build reliable AI systems." "Our mission at Metaplane is to help companies ensure trust in the data that powers their business. Joining forces with Datadog enables us to bring data observability to tens of thousands more companies, while bringing data teams and software teams closer together," said Kevin Hu, co-founder and CEO of Metaplane. Metaplane will continue supporting existing customers and bringing on new customers as part of Metaplane by Datadog. About DatadogDatadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics. Forward-Looking Statements This press release may include certain "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, or the Securities Act, and Section 21E of the Securities Exchange Act of 1934, as amended including statements on the benefits of new products and features. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies and prospects, which are based on the information currently available to us and on assumptions we have made. Actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control, including those risks detailed under the caption "Risk Factors" and elsewhere in our Securities and Exchange Commission filings and reports, including the Quarterly Report on Form 10-K filed with the Securities and Exchange Commission on February 20, 2025, as well as future filings and reports by us. Except as required by law, we undertake no duty or obligation to update any forward-looking statements contained in this release as a result of new information, future events, changes in expectations or Haggertypress@ To view the source version of this press release, please visit Sign in to access your portfolio

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