Datadog Brings Observability to Data Teams by Acquiring Metaplane
Datadog (NASDAQ: DDOG) has announced the acquisition of Metaplane, an end-to-end data observability platform that leverages advanced machine learning for monitoring and column-level lineage to manage data quality issues across data stacks.
The acquisition enhances Datadog's data observability capabilities, building upon their existing products like Data Jobs Monitoring and Data Streams Monitoring. Unlike existing tools that only monitor data after it reaches data lakes or warehouses, this integration will provide visibility across the complete data lifecycle - from production to transformation and consumption.
This strategic move is particularly significant as organizations increasingly deploy AI applications, requiring reliable data systems. Metaplane will continue operating as 'Metaplane by Datadog', supporting both existing and new customers while helping to unify observability across applications and data.
Datadog (NASDAQ: DDOG) ha annunciato l'acquisizione di Metaplane, una piattaforma completa di data observability che utilizza avanzate tecniche di machine learning per il monitoraggio e la tracciabilità a livello di colonna, al fine di gestire i problemi di qualità dei dati attraverso l'intero stack dati.
Questa acquisizione potenzia le capacità di data observability di Datadog, ampliando i prodotti esistenti come Data Jobs Monitoring e Data Streams Monitoring. A differenza degli strumenti attuali che monitorano i dati solo dopo che sono stati immagazzinati in data lake o warehouse, questa integrazione offrirà visibilità su tutto il ciclo di vita dei dati, dalla produzione alla trasformazione e al consumo.
Questa mossa strategica è particolarmente rilevante in un contesto in cui le organizzazioni adottano sempre più applicazioni di intelligenza artificiale, che richiedono sistemi dati affidabili. Metaplane continuerà a operare come 'Metaplane by Datadog', supportando clienti attuali e nuovi e contribuendo a unificare l’osservabilità tra applicazioni e dati.
Datadog (NASDAQ: DDOG) ha anunciado la adquisición de Metaplane, una plataforma integral de observabilidad de datos que utiliza aprendizaje automático avanzado para monitorear y rastrear a nivel de columna, gestionando problemas de calidad de datos en toda la pila de datos.
La adquisición mejora las capacidades de observabilidad de datos de Datadog, complementando sus productos existentes como Data Jobs Monitoring y Data Streams Monitoring. A diferencia de las herramientas actuales que solo supervisan los datos una vez que llegan a lagos o almacenes de datos, esta integración proporcionará visibilidad a lo largo de todo el ciclo de vida de los datos, desde la producción hasta la transformación y el consumo.
Este movimiento estratégico es especialmente importante dado que las organizaciones implementan cada vez más aplicaciones de IA, que requieren sistemas de datos confiables. Metaplane seguirá operando como 'Metaplane by Datadog', apoyando tanto a clientes existentes como nuevos y ayudando a unificar la observabilidad entre aplicaciones y datos.
Datadog (NASDAQ: DDOG)는 고급 머신러닝을 활용하여 데이터 품질 문제를 관리하고 열 단위 계보 추적을 제공하는 종합 데이터 관측 플랫폼인 Metaplane를 인수했다고 발표했습니다.
이번 인수로 Datadog의 데이터 관측 역량이 강화되며, Data Jobs Monitoring과 Data Streams Monitoring 같은 기존 제품을 기반으로 합니다. 기존 도구들이 데이터가 데이터 레이크나 웨어하우스에 도달한 이후에만 모니터링하는 것과 달리, 이 통합은 데이터의 생산부터 변환 및 소비에 이르는 전체 데이터 라이프사이클에 걸쳐 가시성을 제공합니다.
이 전략적 결정은 AI 애플리케이션 도입이 증가하는 상황에서 신뢰할 수 있는 데이터 시스템이 필요하다는 점에서 특히 중요합니다. Metaplane은 'Metaplane by Datadog'으로 계속 운영되며 기존 및 신규 고객을 지원하고 애플리케이션과 데이터 전반에 걸친 관측 통합에 기여할 것입니다.
Datadog (NASDAQ : DDOG) a annoncé l'acquisition de Metaplane, une plateforme complète d'observabilité des données qui utilise l'apprentissage automatique avancé pour la surveillance et la traçabilité au niveau des colonnes afin de gérer les problèmes de qualité des données à travers les différentes couches de données.
Cette acquisition renforce les capacités d'observabilité des données de Datadog, en s'appuyant sur leurs produits existants tels que Data Jobs Monitoring et Data Streams Monitoring. Contrairement aux outils actuels qui ne surveillent les données qu'une fois qu'elles atteignent les data lakes ou entrepôts, cette intégration offrira une visibilité sur l'ensemble du cycle de vie des données, de la production à la transformation et à la consommation.
Cette démarche stratégique est particulièrement importante alors que les organisations déploient de plus en plus d'applications d'IA nécessitant des systèmes de données fiables. Metaplane continuera d'opérer sous le nom de 'Metaplane by Datadog', en soutenant les clients existants et nouveaux tout en contribuant à unifier l'observabilité entre les applications et les données.
Datadog (NASDAQ: DDOG) hat die Übernahme von Metaplane bekanntgegeben, einer umfassenden Data-Observability-Plattform, die fortschrittliches maschinelles Lernen für Monitoring und Spaltenebenen-Tracking nutzt, um Datenqualitätsprobleme über verschiedene Datenstacks hinweg zu verwalten.
Die Übernahme erweitert Datadogs Fähigkeiten im Bereich der Datenbeobachtbarkeit und baut auf bestehenden Produkten wie Data Jobs Monitoring und Data Streams Monitoring auf. Im Gegensatz zu bestehenden Tools, die Daten erst nach dem Erreichen von Data Lakes oder Warehouses überwachen, bietet diese Integration Sichtbarkeit über den gesamten Datenlebenszyklus – von der Produktion über die Transformation bis hin zum Verbrauch.
Dieser strategische Schritt ist besonders bedeutsam, da Organisationen zunehmend KI-Anwendungen einsetzen, die zuverlässige Datensysteme erfordern. Metaplane wird weiterhin als 'Metaplane by Datadog' operieren, bestehende und neue Kunden unterstützen und dazu beitragen, die Beobachtbarkeit von Anwendungen und Daten zu vereinheitlichen.
- Strategic expansion into data observability market
- Enhanced ML-powered monitoring capabilities
- Improved end-to-end data lifecycle visibility
- Strengthened position in AI-driven applications market
- None.
Insights
Datadog's Metaplane acquisition strengthens its data observability capabilities, positioning it strategically in the growing AI-driven data reliability market.
Datadog's acquisition of Metaplane represents a strategic expansion in the company's product portfolio, addressing a critical gap in the data observability landscape. While Datadog has already launched related offerings like Data Jobs Monitoring and Data Streams Monitoring, this acquisition accelerates their capabilities in this growing segment.
What makes this acquisition particularly significant is Metaplane's machine learning-powered monitoring and column-level lineage technology that enables organizations to prevent, detect and resolve data quality issues across their entire data stack. As companies increasingly build on platforms like Snowflake and Databricks, the need for comprehensive observability becomes crucial.
The timing aligns perfectly with the increasing importance of data quality for AI applications. Current data observability solutions have a major limitation - they only see data after it lands in data lakes or warehouses. Metaplane addresses this by providing visibility across the full end-to-end data lifecycle, from production in software systems to transformation and consumption.
For enterprises building AI systems, this acquisition means they'll potentially have a unified observability solution spanning both application and data domains. Metaplane will continue operating as "Metaplane by Datadog" while supporting existing customers, suggesting a thoughtful integration approach that preserves its established market presence while leveraging Datadog's extensive reach.
Datadog enhances product portfolio with Metaplane acquisition, strategically expanding into high-growth data observability market amid AI acceleration.
This acquisition marks Datadog's deliberate expansion beyond its core application monitoring strengths into the complementary data observability market. The move demonstrates excellent strategic alignment with three key market trends:
First, as data teams take on broader responsibilities in building AI applications and data products, they require enhanced visibility across their entire data stack. Metaplane's technology specifically addresses this by providing advanced machine learning-powered monitoring and column-level lineage capabilities.
Second, Datadog is positioning itself at the critical intersection of application performance and data quality, addressing a gap where existing tools only see data after it reaches data warehouses. By enabling visibility across the complete data lifecycle, Datadog strengthens its value proposition for organizations building AI systems where data integrity is paramount.
Third, the decision to maintain Metaplane as a branded offering ("Metaplane by Datadog") suggests a balanced integration approach that preserves brand equity while leveraging Datadog's enterprise reach and resources. This indicates a thoughtful acquisition strategy focused on capability expansion rather than mere consolidation.
While financial terms weren't disclosed, the strategic value is evident in how this acquisition extends Datadog's reach into data teams' workflows. As VP of Product Michael Whetten notes, "Observability is no longer just for developers and IT teams," highlighting how this acquisition aligns with the changing responsibilities of data professionals who now require the same reliability tools as their software counterparts.
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 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 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 otherwise.
Contact
Dan Haggerty
press@datadoghq.com
To view the source version of this press release, please visit https://www.newsfilecorp.com/release/249381
FAQ
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