Datadog named a Leader in Forrester Wave for AIOps Platforms, Q4 2026

What Forrester said about Datadog

According to Datadog, Forrester found that "Datadog demonstrated a clear and credible transition from observability toward agentic operations." The company says it received the highest score possible in the Innovation and Roadmap criteria.

Datadog also reports top scores in two further criteria: Zero-Trust Agent (Least-Agency) and ModelOps and AI Governance (Sovereignty). Forrester also observed, as quoted by Datadog, that the platform's capabilities "differentiate by working together to enable agentic operations through a broad, consumable platform, rather than as standalone features."

Datadog frames the result as its own interpretation, writing that "we believe" the placement reflects its commitment to a single integrated platform. Forrester's disclaimer states that it does not endorse any company or product in its research publications.

Bits AI and the move to autonomous operations

Datadog describes a shift in which work that was once an engineer's job, such as triaging alerts, investigating issues and analyzing root causes, is now handled by Bits AI, which also suggests fixes. According to the company, Bits AI learns an environment over time, from runbooks to memories built from engineer feedback, and applies past corrections to similar issues.

The company says Bits AI goes beyond finding a root cause. It supports targeted remediation actions, production-ready code fixes and pull requests, and automated operational workflows. Configurable guardrails keep each action controlled.

Datadog says Bits AI recently surpassed 10,000 paying customers. It also launched Scout 1.0 in preview, which it calls its first model purpose-built for investigating production issues. Datadog claims it powers Bits AI with frontier-level performance at a fraction of the cost of general-purpose models.

Unified telemetry and governance

Datadog says its platform unifies telemetry across infrastructure, applications, logs, digital experience, security and AI workloads. Native AI observability brings application monitoring, agent observability and digital experience into one flow, so teams can follow a request from service activity to agent reasoning to customer impact.

• Native OpenTelemetry ingestion
• Pipeline-level control over what is collected and kept
• Analytics on historical data without rehydration
• A live map of services, dependencies and changes
• More than 1,000 built-in integrations through its partner ecosystem

On governance, Datadog says customers define which actions Bits AI can take, which environments and services they apply to, and who approves them before they run. The company adds that Bits AI shows every step of its reasoning and backs each conclusion with evidence.

Customer evidence and what it means

Datadog says more than 33,000 organizations run on it. It cites Forrester's finding that customers "tend to expand use of the platform because they trust it, it's easily accessible by engineers, and it delivers measurable value, not because they are forced to."

As an example, Datadog points to Uber Freight. According to the company, Uber Freight moved from pilot to production in 40 days, lowered mean time to detect and resolve issues across cloud and on-premises systems, and sustained 99.99% uptime across a marketplace managing $18 billion in freight. Datadog adds that teams saved more than 20 minutes per incident with Bits AI investigation reports.

Thiyagarajan Anandan, Sr. Engineering Manager, Platform Engineering at Uber Freight, said: "Datadog gives us end-to-end observability and AI-powered investigation that help us detect issues faster and reduce incident understanding time."

For buyers evaluating AIOps tools, the report signals that analysts are weighing agentic capabilities and governance controls alongside classic observability. The figures on customers, savings and performance come from Datadog itself.