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Datadog, Inc.

Cloud observabilityFounded 2010
Reviewed by Swet Parvadiya
Company data updated: October 2026

Acquisitions

Datadog Acquisitions

10

Major Deals Covered

What are Datadog's biggest acquisitions?

This page covers 10 major deals from 2015 to 2026, each with its price where disclosed and the reason behind it.

Major deals covered
10
First deal
2015
Most recent
2026
CompanyYearPricePurpose
Mortar Data2015UndisclosedDatadog acquired Mortar Data to strengthen its data analytics and processing capabilities. Mortar provided a platform for data science and analytics that complemented Datadog's infrastructure monitoring data pipeline.
Logmatic2017UndisclosedDatadog acquired Logmatic.io to add log management capabilities to its platform. Logmatic provided centralized log aggregation, search, and analysis that complemented Datadog's existing metrics and infrastructure monitoring.
Madumbo2019UndisclosedDatadog acquired Madumbo, an AI-powered testing platform, to add automated testing and quality assurance capabilities. Madumbo used machine learning to detect UI issues and application bugs.
Sqreen2021UndisclosedDatadog acquired Sqreen, an application security platform, for approximately $200 million. Sqreen provided runtime application self-protection (RASP), in-app security monitoring, and protection against OWASP top 10 vulnerabilities.
Cloudcraft2023UndisclosedDatadog acquired Cloudcraft, a cloud infrastructure visualization platform. Cloudcraft provided drag-and-drop tools for creating AWS architecture diagrams and visualizing cloud infrastructure.
Quickwit2025UndisclosedDatadog acquired Quickwit, an open-source cloud-native log search engine. Quickwit provided high-performance, cost-efficient log search capabilities using a novel indexing approach.
Metaplane2025UndisclosedDatadog acquired Metaplane, an AI-powered data observability platform. Metaplane provided automated data quality monitoring, anomaly detection for data pipelines, and impact analysis for data issues.
Eppo2025UndisclosedDatadog acquired Eppo, an experimentation infrastructure platform. Eppo provided tools for running A/B tests, feature flags, and product experiments with statistical rigor.
Propolis2026UndisclosedDatadog acquired Propolis, an AI-powered QA testing platform. Propolis provided automated testing capabilities that used AI to detect bugs, performance issues, and UI problems.
Adaptive ML2026UndisclosedAdaptive ML built a Reinforcement Learning Operations (RLOps) platform for training and tuning specialized AI agents and models.
What companies has Datadog bought?
Major acquisitions by Datadog documented here include Propolis (2026), Adaptive ML (2026), Quickwit (2025), Metaplane (2025) and Eppo (2025).
What is Datadog's most recent acquisition?
The most recent Datadog acquisition documented here is Propolis, in 2026.

Propolis

2026

Why

Datadog acquired Propolis, an AI-powered QA testing platform. Propolis provided automated testing capabilities that used AI to detect bugs, performance issues, and UI problems.

Impact

The acquisition expanded Datadog's testing and quality assurance capabilities, complementing synthetic monitoring with AI-powered test generation and execution. It supported the shift from passive monitoring to active quality assurance.

Outcome

Propolis's technology was integrated into Datadog's platform, enhancing synthetic monitoring and testing capabilities. The acquisition supported the company's AI-powered operations strategy.

Source →

Adaptive ML

2026

Why

Adaptive ML built a Reinforcement Learning Operations (RLOps) platform for training and tuning specialized AI agents and models.

Impact

The team joined Datadog AI Research to work on world models and agentic LLM post-training for observability.

Outcome

Announced June 30, 2026; terms were not disclosed.

Source →

Quickwit

2025

Why

Datadog acquired Quickwit, an open-source cloud-native log search engine. Quickwit provided high-performance, cost-efficient log search capabilities using a novel indexing approach.

Impact

The acquisition strengthened Datadog's Log Management product by adding advanced search capabilities and cost-efficient log storage. It supported the company's Flex Logs strategy for flexible log retention and pricing.

Outcome

Quickwit's technology was integrated into Datadog's log platform, improving search performance and reducing log storage costs. The acquisition supported competitive positioning against Splunk and Elastic.

Source →

Metaplane

2025

Why

Datadog acquired Metaplane, an AI-powered data observability platform. Metaplane provided automated data quality monitoring, anomaly detection for data pipelines, and impact analysis for data issues.

Impact

The acquisition expanded Datadog's observability capabilities into data pipelines and data quality a growing market as organizations build data-intensive AI and analytics applications. It added AI-powered data observability to the platform.

Outcome

Metaplane's technology was integrated into Datadog's platform, adding data observability capabilities. The acquisition supported Datadog's strategy of expanding observability beyond infrastructure and applications into data systems.

Source →

Eppo

2025

Why

Datadog acquired Eppo, an experimentation infrastructure platform. Eppo provided tools for running A/B tests, feature flags, and product experiments with statistical rigor.

Impact

The acquisition added experimentation and feature management capabilities that complemented Datadog's application monitoring. It supported the company's strategy of providing end-to-end visibility from code deployment to user experience.

Outcome

Eppo's technology was integrated into Datadog's platform, adding experimentation infrastructure. The acquisition supported Datadog's product-led growth strategy by enabling customers to measure the impact of feature changes.

Source →

Cloudcraft

2023

Why

Datadog acquired Cloudcraft, a cloud infrastructure visualization platform. Cloudcraft provided drag-and-drop tools for creating AWS architecture diagrams and visualizing cloud infrastructure.

Impact

The acquisition added infrastructure visualization capabilities that helped customers understand and document their cloud architectures. It complemented Datadog's monitoring data by providing visual context for complex infrastructure.

Outcome

Cloudcraft's technology was integrated into Datadog's platform as a visualization tool for cloud architecture. The acquisition supported customer onboarding and infrastructure understanding.

Source →

Sqreen

2021

Why

Datadog acquired Sqreen, an application security platform, for approximately $200 million. Sqreen provided runtime application self-protection (RASP), in-app security monitoring, and protection against OWASP top 10 vulnerabilities.

Impact

The acquisition significantly expanded Datadog's security capabilities by adding application-layer protection to its infrastructure and cloud security offerings. It supported the company's strategy of unifying observability and security.

Outcome

Sqreen's technology was integrated into Datadog's Cloud Security Management platform, adding application security monitoring and runtime protection. The acquisition accelerated Datadog's security market entry.

Source →

Madumbo

2019

Why

Datadog acquired Madumbo, an AI-powered testing platform, to add automated testing and quality assurance capabilities. Madumbo used machine learning to detect UI issues and application bugs.

Impact

The acquisition added AI-powered testing capabilities that complemented Datadog's monitoring platform. It supported the company's strategy of expanding from passive monitoring to active quality assurance.

Outcome

Madumbo's technology was integrated into Datadog's platform, contributing to synthetic monitoring and testing capabilities. The acquisition supported Datadog's developer-centric product strategy.

Source →

Logmatic

2017

Why

Datadog acquired Logmatic.io to add log management capabilities to its platform. Logmatic provided centralized log aggregation, search, and analysis that complemented Datadog's existing metrics and infrastructure monitoring.

Impact

The acquisition completed Datadog's core observability triad of metrics, traces, and logs. It accelerated entry into the log analytics market and provided the foundation for what would become Datadog's Log Management product.

Outcome

Logmatic's technology was integrated into Datadog as Log Management, becoming one of the company's fastest-growing products. The acquisition positioned Datadog to compete with Splunk and Elastic in log analytics.

Source →

Mortar Data

2015

Why

Datadog acquired Mortar Data to strengthen its data analytics and processing capabilities. Mortar provided a platform for data science and analytics that complemented Datadog's infrastructure monitoring data pipeline.

Impact

The acquisition enhanced Datadog's backend data processing infrastructure, supporting the platform's ability to handle -scale metrics and events. It contributed to the scalability that would later support trillions of daily data points.

Outcome

Mortar's technology was integrated into Datadog's data platform, improving the company's analytics and processing capabilities. The acquisition supported Datadog's growth from startup to scale.

Source →

Datadog, Inc.'s Growth & Acquisition Strategy

Datadog's growth plan has three parts. First, sell more products to existing customers across observability, security, and developer workflows. Second, win larger enterprise and AI-native customers that run very large workloads. Third, build AI into the platform: Bits AI agents for SRE, coding and security work, LLM Observability for teams running AI applications, and an in-house AI research group that added Adaptive ML in June 2026. Tuck-in acquisitions such as Metaplane (data observability), Eppo (experimentation) and Propolis (AI testing) extend the platform into adjacent budgets.

How Datadog, Inc. Makes Money

Datadog runs a B2B subscription model. Customers pay based on usage and the products they turn on: monitored hosts and containers, ingested and indexed log volume, traced requests, user sessions, security workloads, and similar units. Contracts are sold self-serve, through a direct sales team, and through cloud marketplaces such as AWS Marketplace. Revenue grows in two ways. Customers send more telemetry as their cloud footprint grows, and they add more of Datadog's products over time (the "land and expand" motion). Because spending tracks customer usage, revenue can slow when customers optimize cloud and logging costs, as happened in 2022-2023, and can accelerate when workloads such as AI applications scale up, as seen in 2026.

Datadog Acquisitions FAQ

Why did Datadog acquire API observability platform CoScreen in 2022?

In March 2022, Datadog acquired CoScreen, a collaborative screen-sharing and real-time multiplayer terminal platform, enabling distributed engineering and incident response teams to collaborate and debug production outages simultaneously.

What was the strategic importance of acquiring cloud security startup Sqreen in 2021?

In February 2021, Datadog acquired Sqreen, a SaaS-based Application Security Management (ASM) leader, integrating application-level vulnerability protection and runtime threat detection directly into Datadog's existing APM agent.

Why did Datadog acquire Cloudcraft in 2022 to visualize cloud architectures?

In October 2022, Datadog acquired Cloudcraft, a popular cloud architecture diagramming and visualization tool, allowing DevOps engineers to automatically generate live 3D architecture maps of their AWS and Azure infrastructure synced with real-time performance telemetry.

How did the acquisition of Timber Technologies in 2021 enhance log management?

In March 2021, Datadog acquired Timber Technologies (the creators of Vector, a high-performance open-source observability data pipeline written in Rust), providing Datadog with industry-leading lightweight log and metric collection and routing capabilities.

Why did Datadog acquire testing and CI/CD observability firm Symanto in 2022?

Datadog acquired specialized testing and continuous integration analytics tools to expand into CI/CD Visibility, enabling software engineering teams to track build times, test failures, and pipeline bottlenecks across GitHub Actions, GitLab, and Jenkins.

How does Datadog evaluate potential software M&A targets?

Datadog selectively acquires innovative technology startups that solve specific developer pain points (application security, live debugging, data pipelining), strictly requiring that acquired software be cleanly integrated into Datadog's single-agent, unified console architecture.

Did Datadog acquire Madumbo in 2019 to launch Synthetics Monitoring?

In 2019, Datadog acquired French AI testing startup Madumbo, integrating its computer-vision and automated web crawling technology to launch Datadog Synthetics, automating end-to-end browser user journey testing.

How does Datadog maintain platform cohesion during technology integrations?

Unlike legacy software conglomerates that assemble disjointed acquired products with separate logins, Datadog refactors all acquired technology into its core codebase, ensuring users experience a single smooth UI, unified querying language, and single billing account.

What companies has Datadog acquired?

Rather than executing massive mega-mergers, Datadog aggressively executes smaller "tuck-in" acquisitions. They famously bought Sqreen in 2021 to instantly add deep application security features to their existing dashboard.

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Content is for informational purposes only. Not financial advice. Data sourced from SEC filings, annual reports, and public records. See our full disclaimer and methodology.