DAGR

B2B SaaS Provider

Datadog vs Grafana Labs

Structured technology and market comparison · 2026

Direct Feature Comparison

Datadog · vs · Grafana Labs
Market Cluster / Sector
DatadogB2B SaaS Provider
Grafana LabsB2B SaaS Provider
Platform Focus
Datadog

Cloud observability software for infrastructure, applications, logs, and telemetry.

Grafana Labs

Open-source observability platform with cloud and enterprise subscriptions.

Company Size
Datadog>5,000 employees
Grafana Labs501–1,000 employees
Headquarters
DatadogUnited States
Grafana LabsUnited States
Year Founded
Datadog2010
Grafana Labs2014

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Comparison Analysis

What is the main difference between Datadog and Grafana Labs?

When comparing Datadog and Grafana Labs, both platforms operate within the Cloud Data Warehouse / Data Lake, B2B SaaS Provider, and Measurement & Analytics Platform ecosystem. Datadog is positioned as Cloud observability software for infrastructure, applications, logs, and telemetry, whereas Grafana Labs focuses on Open-source observability platform with cloud and enterprise subscriptions. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.

What are the top alternatives to Datadog and Grafana Labs?

When evaluating Datadog and Grafana Labs, enterprise buyers also consider other platforms in Cloud Data Warehouse / Data Lake, B2B SaaS Provider, and Measurement & Analytics Platform. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.

How do the corporate scale, structure, and headquarters of Datadog and Grafana Labs compare?

Datadog is headquartered in United States (founded in 2010) with >5,000 employees. Grafana Labs is based in United States (founded in 2014) with 501–1,000 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.

Market Signals

Recent Market Signals & Activity: Datadog vs Grafana Labs

Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.

DA

Datadog

Recent Signals

  • ·SEC APIfinancials

    8-K Financial Filing Analysis for Datadog (2026-11-04)

    On November 4, 2026, Datadog, Inc. filed a Current Report on Form 8-K under Item 2.02 (Results of Operations and Financial Condition) announcing that it issued a press release disclosing its financial results for the third quarter ended September 30, 2026. The full press release was furnished as Exhibit 99.1 to the filing and signed by Chief Financial Officer David Obstler. In accordance with standard regulatory procedure for Item 2.02 disclosures, the reported information is furnished rather than filed for purposes of Section 18 of the Securities Exchange Act of 1934.

    • Datadog announced its financial results for the fiscal quarter ended September 30, 2026, via a press release issued on November 4, 2026.
    • The press release was furnished as Exhibit 99.1 under Item 2.02 and signed on behalf of the company by CFO David Obstler.
    • The filing is furnished rather than deemed filed under Section 18 of the Securities Exchange Act of 1934.
  • ·techcrunchFinancials

    Upwind Raises $400M, Rejects Datadog Acquisition Offer

    Cloud security startup Upwind has raised a $400 million Series C round at a $3.8 billion valuation, led by Bessemer Venture Partners with participation from Greylock Partners and Craft Ventures. The company rejected an acquisition offer from Datadog, which matched the valuation but did not offer a premium. Upwind has been growing rapidly, adding $20-30 million in annualized recurring revenue (ARR) each quarter and is projected to end the year at roughly $90 million ARR. The company's valuation represents a multiple of over 40x forward ARR, below the 80x ARR fetched by Cyera earlier this year. Upwind plans to remain independent, believing its long-term value exceeds the offer. The Series C comes nine months after a $250 million round at a $1.5 billion valuation.

    • Upwind raised $400 million in Series C funding at a $3.8 billion valuation.
    • Bessemer Venture Partners led the round, with participation from Greylock Partners and Craft Ventures.
    • Upwind rejected an acquisition offer from Datadog, which matched the $3.8 billion valuation but offered no premium.
  • ·CNBC InvestingFinancials

    Bernstein Upgrades Datadog, Sees 42% Upside on AI Demand

    Bernstein upgraded Datadog to 'outperform' from 'market perform', raising its price target to $350 from $237, implying roughly 42% upside. Analyst Peter Weed cited strong alternative data signals showing enterprise token consumption growing at least 50% quarter-over-quarter among large AI labs, with even faster growth among smaller 'Born in AI' customers. The firm believes consumer AI agent releases (e.g., Muse, Dots) could further increase observability requirements for traditional Datadog customers. Datadog shares have risen about 82% year-to-date. The call aligns with consensus, as 46 of 49 analysts rate the stock a buy or strong buy. Weed noted competitive risks from open-source or in-house replacements but sees near-term resilience in hyper-growth AI labs.

    • Bernstein upgraded Datadog to 'outperform' from 'market perform'.
    • Bernstein raised its price target on Datadog to $350 from $237, implying ~42% upside.
    • Analyst Peter Weed cited alt data showing enterprise token consumption growth of at least 50% QoQ among large AI labs.
GR

Grafana Labs

Recent Signals

  • ·Grafana Labs

    Tempo 3.1 release: new features for Kafka, TraceQL metrics updates, trace redaction, and more

    Grafana Labs blog features a new post on Tempo 3.1 release with new features for Kafka, TraceQL metrics updates, trace redaction, and more.

  • ·DEV CommunityApplication Performance Monitoring (APM)

    Observability Stack: Prometheus, Node Exporter, Grafana

    A technical how-to explaining the three-piece observability stack: Prometheus (time-series database that scrapes metrics), Node Exporter (exposes OS-level metrics at a /metrics HTTP endpoint), and Grafana (visualizes Prometheus data as dashboards). The article describes the pull-based model Prometheus uses, the role of Node Exporter as a translator of OS stats, how Grafana queries Prometheus, default ports (Prometheus 9090, Node Exporter 9100, Grafana 3000), basic install commands, a sample prometheus.yml with scrape_interval and job_name, and next steps such as adding scrape targets, writing PromQL queries, and adding Alertmanager for notifications.

    • Prometheus is a time-series database and monitoring system that scrapes metrics from HTTP endpoints and exposes its own metrics on port 9090.
    • Node Exporter exposes hardware and OS-level metrics at a /metrics endpoint (default port 9100) and is typically installed one-per-machine.
    • Grafana queries Prometheus (e.g., via PromQL) to render dashboards and runs by default on port 3000; it stores no metrics itself.
  • ·DEV CommunityInternal Developer Platform (IDP)

    Building an Internal Developer Platform on Azure AKS

    This technical article explains how to create an Internal Developer Platform (IDP) using Azure Kubernetes Service (AKS). It outlines core components including AKS as the managed Kubernetes backbone, a service mesh (e.g., Istio or Linkerd) for microservice communication, CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for automated build and deployment, monitoring and logging tools (Azure Monitor, Prometheus, Grafana, Azure Log Analytics), and security/compliance controls (RBAC, Pod Security Policies, Azure Policy, Azure Security Center). The piece describes an example developer workflow from code push to production and summarizes benefits such as increased efficiency, scalability, security, and consistency.

    • An Internal Developer Platform (IDP) is a set of tools, processes, and automations that simplifies development, testing, and deployment for developers.
    • Azure Kubernetes Service (AKS) is presented as the central managed Kubernetes environment where containerized applications run.
    • Service meshes such as Istio or Linkerd are recommended to manage microservice communication, including load balancing, traffic management, and security policies.

Compare their exact ecosystem overlaps.

Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners Datadog and Grafana Labs share across the market ecosystem.