Latest news with #Metaplane
Yahoo
06-05-2025
- Business
- Yahoo
Datadog Sees 25% Q1 Growth, Hikes Guidance
Datadog (NASDAQ:DDOG) raises its full-year outlook to $3.215 billion$3.235 billion in revenue, driven by 25% Q1 growth and accelerating AI-related product adoption. In Q1, the cloud observability specialist reported $762 million in revenue, topping guidance and marking a 25% year-over-year increase (3% sequentially), according to CEO Olivier Pomel. Customer count climbed to 30,500 from 28,000 a year ago, with 3,770 clients now generating at least $100,000 in ARR88% of total ARR. The Flex Logs product hit $50 million ARR in just six quarters, the fastest ramp in Datadog's history, while Database Monitoring nears the same milestone with 60% year-over-year growth and over 5,000 customers. Recent acquisitions of Eppo and Metaplane bolster feature management and data observability suites. On profitability, CFO David Obstler highlighted $244 million of free cash flow (32% margin) and an 80.3% gross margin, modestly down from 81.7% last quarter as cloud hosting costs rose. Management plans optimizations to offset those pressures. Net revenue retention stayed in the 110% range, while gross retention held steady in the mid-to-high 90s. Billings hit $748 million, up 21% year-over-year. For Q2, Datadog sees revenue between $787 million and $791 million (22%23% growth) with non-GAAP EPS of $0.40$0.42. Full-year guidance now sits at $3.215 billion$3.235 billion in revenue (up $40 million) with operating income of $625 million$645 million and non-GAAP EPS of $1.67$1.71. Gross margins are expected to stay within historic ranges despite short-term headwinds. In Q&A, analysts pressed on AI-generated code's implicationsPomel noted that increased AI-written code amplifies the need for observability to validate and monitor dynamic applications. On cloud migration trends, Datadog sees steady growth aligned with hyperscaler reports, and CFO Obstler assured that expanded sales and marketing investments are driving productivity on par with previous cohorts. Why it matters: The raised guidance and standout product ramps underscore Datadog's ability to translate AI and migration tailwinds into sustained top-line and cash-flow growth. Investors will look to Q2 earnings in late July for confirmation that new AI offerings and bolt-on acquisitions continue fueling momentum. This article first appeared on GuruFocus.
TechCrunch
05-05-2025
- Business
- TechCrunch
Datadog acquires Eppo, a feature flagging and experimentation platform
Datadog is on an acquisition spree. Just a few weeks after snatching up Metaplane, an AI-powered observability startup, the cloud monitoring and security company has acquired Eppo, a feature flagging and experimentation platform. Eppo will continue supporting existing customers and bringing on new ones under the brand 'Eppo by Datadog.' Terms of the deal weren't disclosed, but a report last week from Ustarts Media suggested Datadog was planning to pay $220 million. Despite the demand for tools that let developers experiment with different versions of apps, the infrastructure required for product analytics remains relatively complex to build. Beyond data pipelines and statistical methods, experimentation infrastructure relies on analytics workflows often sourced from difficult-to-configure cloud environments. In an interview two years ago, Eppo co-founder and CEO Che Sharma told TechCrunch that Eppo was inspired by his experiences building experimentation platforms as a data scientist at Airbnb and Webflow, a website builder. Eppo offers what Sharma called 'confidence intervals' to make it easier to understand and interpret the results of a randomized app experiment. The platform supports experimentation with AI and machine learning models, leveraging techniques to perform live experiments that show whether one model is outperforming another. While plenty of startups have emerged in recent years to abstract away the app experimentation infrastructure, including Split, Statsig, and Optimizely, Eppo has managed to stand out in the crowded field. The San Francisco, California-based company raised $47.5 million from VC firms including Innovation Endeavors, Menlo Ventures, and Amplify Partners prior to its exit, according to CrunchBase. Eppo had around 15 employees as of June 2022, when the startup was valued at $80 million. Back then, Eppo's customer base included Goldbelly, Netlify, and Kumu, among others. Techcrunch event Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you've built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | BOOK NOW 'Eppo wants to bring a high velocity, experiment-first culture to companies of every size, stage, and industry,' Sharma said in a press release. 'With Datadog, we are uniting product analytics, feature management, AI, and experimentation capabilities for businesses to reduce risk, learn quickly, and ship high-quality products.' For Datadog, which recently reported a better-than-expected net profit but a revenue forecast that fell below what analysts expected, the Eppo buy could bolster the company's current product analytics solutions. The sector is a large and healthy one. According to Fortune Business Insights, the global market for product analytics was worth $9.09 billion last year and could reach $27.01 billion by 2032. 'The use of multiple AI models increases the complexity of deploying applications in production,' Michael Whetten, VP of Product at Datadog, said in a statement. 'Experimentation solves this correlation and measurement problem, enabling teams to compare multiple models side-by-side, determine user engagement against cost tradeoffs, and ultimately build AI products that deliver measurable value.'
Techday NZ
24-04-2025
- 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.
Scoop
24-04-2025
- 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.
Scoop
24-04-2025
- 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.
