There is no single winner because “Datadog CLI” refers to several different tools. New Relic’s traditional CLI is a focused terminal interface for New Relic entities, workloads, deployment markers, NRQL, and NerdGraph operations. Datadog divides comparable work among Pup CLI, the CI-focused datadog-ci package, and an agentic onboarding CLI that edits repository configuration. New Relic also announced a separate Ground Truth CLI on October 6, 2026, aimed at investigation and recovery evidence.
Choose the tool that matches the job: use New Relic CLI for scripted New Relic administration and queries, Pup for broad Datadog resource access, datadog-ci for pipeline instrumentation and test or coverage uploads, and Datadog’s onboarding CLI for repository setup. Your existing telemetry vendor, account model, security policy, and automation target matter more than the label “CLI.”
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New Relic CLI vs. Datadog CLI: the short answer
For a team already operating New Relic, the traditional New Relic CLI is the more direct fit when the workflow involves entity tags, workloads, APM deployment markers, NRQL queries, or NerdGraph requests. It uses named profiles, supports account and profile selection, and can emit JSON, text, or YAML for scripts.
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For a team already operating Datadog, the right choice depends on the operation. Pup is Datadog’s broad, AI-agent-ready command-line interface, with documented coverage including monitors, logs, metrics, RUM, and security. datadog-ci is not a general administration shell: it instruments commands in CI, runs Continuous Testing jobs, and uploads coverage data. The agentic onboarding CLI is repository-oriented; it configures supported products and can modify infrastructure-as-code and application files.
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Neither vendor’s CLI documentation establishes a universal replacement for every web-console feature, a price advantage, a performance advantage, or identical product entitlements. Compare the exact workflow, not the marketing name.
Why “Datadog CLI” needs clarification
Datadog’s documentation presents three distinct command-line paths. Treating them as one product leads to misleading comparisons:
- Pup CLI: a general observability interface with discoverable commands and structured output. It is the closest like-for-like comparison with New Relic’s traditional CLI.
datadog-ci: a package for CI/CD instrumentation, Continuous Testing, and code-coverage uploads. It is designed to run inside build and deployment pipelines rather than administer an entire Datadog account.- Agentic onboarding CLI: a setup assistant for linking an account to a repository and configuring supported Datadog products. It can edit project files and run headlessly for agents, CI jobs, or scripts.
Before selecting a tool, write down the operation you need to automate. “Query logs,” “tag an entity,” “trace a build,” and “add monitoring configuration to a repository” are different jobs with different authentication and change-control requirements.
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At-a-glance comparison
| Decision axis | New Relic traditional CLI | Datadog Pup CLI | Datadog datadog-ci |
Datadog agentic onboarding CLI |
|---|---|---|---|---|
| Primary job | Selected New Relic platform operations, queries, and DevOps automation | Broad Datadog observability operations | CI command tracing, Continuous Testing, and coverage upload | Repository setup and product configuration |
| Documented resource areas | APM, entities, NerdGraph, NerdStorage, NRQL, profiles, workloads | Monitors, logs, metrics, RUM, security, with the complete command list in repository documentation | Pipeline traces, custom tags and measures, tests, and code-coverage reports | Supported Datadog products and related application or infrastructure configuration |
| Output and automation | Global JSON, text, and YAML formatting options; account and profile flags | Structured JSON/YAML output and discoverable commands | Pipeline-oriented results and uploads rather than a general resource-output model | Headless operation for agents, CI jobs, and scripts |
| Credential model | Profiles hold a New Relic user key and settings; profile setup requires a region: us, eu, or jp |
Scoped authentication through OAuth2/PKCE or environment-provided credentials | Uses the credentials and environment required by the selected CI integration | Site and product selection plus an API/application-key or OAuth path; authorization may include source upload and automatic command execution |
| Best comparison | Compare with Pup for platform administration and queries | Compare with New Relic CLI for broad resource operations | Compare with your existing CI instrumentation, not with an account-administration shell | Compare with repository bootstrap and configuration-management workflows |
The table describes documented focus, not guaranteed feature parity. Verify current command, operating-system, runtime, and entitlement details in the vendor documentation before standardizing a pipeline.
What New Relic’s traditional CLI can do
New Relic describes its CLI as a terminal interface for integrating New Relic into existing workflows. The getting-started guide highlights entity-tag management, workload definition, deployment-marker recording, and common DevOps automation. The reference lists command groups for APM, entities, NerdGraph, NerdStorage, NRQL, profiles, and workloads.
Entity and workload administration
Use the CLI when a deployment process needs to apply or update entity tags, or when infrastructure automation must define workloads alongside application changes. These are platform operations rather than a promise that every setting visible in the New Relic UI has a corresponding command.
Deployment markers and APM workflows
Deployment-marker commands let a release process record an application deployment in New Relic. That creates a repeatable link between a change event and subsequent APM investigation without requiring an engineer to enter the event manually in a browser.
NRQL and NerdGraph access
The command set includes NRQL operations for querying New Relic data and NerdGraph requests for GraphQL-based API work. New Relic’s NerdGraph documentation describes NerdGraph as a single interface across New Relic APIs and microservices for querying data and selected configurations. It is distinct from New Relic’s data-ingest APIs, so a query or configuration workflow should not be confused with telemetry ingestion.
Scope and limitation
The reference is a catalog of commands, not a claim of complete parity with the New Relic platform. If your runbook depends on a UI-only feature, check whether a documented CLI command, NerdGraph operation, or another supported API exists before committing to a terminal-only design.
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See New Relic’s New Relic CLI Reference for the current command groups and global options.
Installing and configuring New Relic CLI
The New Relic CLI getting-started guide documents installation through Homebrew on macOS, Snap on Linux, and Scoop on Windows. It also points to other binaries and packages in the project repository. Because release and operating-system details can change, use the installation method and package version shown in the current guide for your platform.
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- Install for your operating system. Choose the documented Homebrew, Snap, Scoop, binary, or package route rather than copying an installer from an undated third-party page.
- Create an initial profile. Provide a New Relic user key and select the region that hosts the account:
us,eu, orjp. - Keep account settings in the profile. Profiles store credentials and settings, allowing the same workstation or runner to switch between accounts without replacing configuration files manually.
- Select the account or profile per invocation. The CLI exposes global options for account ID and profile, as well as debug and trace output. Use explicit selection in automation so a runner cannot silently target the wrong account.
- Choose a machine-readable format. Request JSON or YAML when another step must parse the result; use text for interactive inspection. The reference also documents the corresponding global formatting options.
- Test with a low-risk read operation. Run a query or inspect an existing resource before allowing a pipeline to create tags, workloads, or deployment records.
Store the user key in your CI secret manager. Do not commit profile files or paste credentials into shell history. Region selection is part of profile setup, so a profile aimed at the wrong region can fail authentication or direct commands to the wrong data boundary.
What Pup CLI adds for Datadog platform work
Datadog’s Pup CLI documentation calls Pup “a comprehensive, AI-agent-ready command-line interface that gives AI agents access to Datadog’s observability platform.” That is a vendor description, not an independent benchmark, but it accurately signals a broader platform scope than a CI-only helper.
Documented coverage
The documentation lists monitors, logs, metrics, RUM, and security as examples of supported areas. This breadth makes Pup the most natural Datadog comparison when the task is to inspect or manage multiple observability resource types from a terminal.
Output designed for automation
Pup emphasizes discoverable commands and structured JSON/YAML output. Structured output is useful when a script needs to select fields, compare desired and actual state, or pass results to an AI agent without scraping human-formatted tables.
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Pup documents scoped authentication through OAuth2/PKCE or credentials supplied through the environment. Scope credentials to the smallest set of products and actions that the job requires. A read-only investigation command should not inherit the write permissions used by a provisioning job.
What to verify before standardizing
The Pup page directs readers to repository documentation for the complete command list. Confirm that the exact monitor, log, metric, RUM, or security operation you need is implemented, and check the current installation and runtime requirements before pinning it in a runner image. The documentation shows Homebrew installation, but package names and supported versions should be taken from the current page.
Why datadog-ci is a different category
datadog-ci is purpose-built for delivery pipelines. Comparing it directly with a general account CLI can make a good CI integration look incomplete or make a general CLI look unnecessarily complicated.
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Trace commands and enrich pipeline telemetry
Datadog’s CI Visibility documentation explains that the package can trace commands and attach custom tags and numerical measures to pipeline traces. This is useful when a build step needs to expose commit, component, environment, or timing context for CI troubleshooting.
Run Continuous Testing in CI/CD
The Continuous Testing documentation describes running tests in CI/CD. A failed test can be used to block a branch or trigger a rollback, depending on how the pipeline is configured. The package therefore belongs next to your build and deployment commands, not in a general-purpose administrator workstation profile.
Upload code coverage
Datadog’s coverage documentation describes upload use cases and several installation routes. Treat coverage upload as a build artifact step with its own secret, network, and retention controls. It does not turn datadog-ci into a replacement for Pup’s broader resource interface.
What the Datadog agentic onboarding CLI changes
The Agentic Onboarding Setup documentation describes a repository-oriented workflow. The CLI links a Datadog account to a local project, configures supported products, and can edit infrastructure-as-code and application files for supported setups.
Headless operation
Headless mode is intended for AI agents, CI jobs, and scripts. The setup documentation says headless operation requires a site and product selection. That requirement is important: an unattended run must know both the Datadog site and which products it is allowed to configure.
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The setup page specifies Node.js 22 or later. It describes API/application-key and OAuth authorization paths. It also states that source-code upload and automatic command execution are part of the authorization behavior. Review those permissions with your security team before enabling the tool on a repository or shared runner.
Change review is mandatory
Because onboarding can modify application and infrastructure files, treat its output like a generated pull request: inspect the diff, check provider and module versions, run validation, and confirm that secrets were not written into tracked files. A successful onboarding run is not evidence that the resulting configuration matches your organization’s tagging, network, or approval standards.
New Relic Ground Truth CLI: a new announced direction
In a press release dated October 6, 2026, New Relic announced the Ground Truth CLI and positioned it for terminal and AI-agent workflows. The announcement describes connections to Autopilot, NerdGraph, and memory APIs, with a focus on investigating production issues, assessing recovery criteria, and preserving operational evidence.
This announcement should not be read as a complete command reference or proof of general availability, release cadence, or production maturity. If you are evaluating Ground Truth CLI, confirm current availability and detailed capabilities in New Relic’s product documentation before making it a dependency. The announcement is separate from the established traditional CLI described above. Read the announcement at New Relic Introduces New Relic Ground Truth CLI.
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Which observability CLI should I use?
Use the following decision paths to compare like with like.
Choose New Relic CLI for New Relic resource automation
Select the traditional New Relic CLI when your scripts need entity tags, workloads, deployment markers, NRQL, or NerdGraph requests and your team already operates New Relic accounts. Profiles and explicit account or profile flags make it suitable for multi-account automation, while JSON and YAML output support downstream processing.
Choose Pup for broad Datadog inspection or administration
Select Pup when the job spans Datadog monitors, logs, metrics, RUM, or security and you need structured output for scripts or agents. Confirm each required command in the current repository documentation and design credential scopes around the operation.
Choose datadog-ci for pipeline telemetry and gates
Select datadog-ci when the command runs inside CI/CD and you need traced build steps, custom tags or measures, Continuous Testing, rollback or branch-blocking behavior, or coverage uploads. Do not select it merely because your team uses Datadog; it solves a narrower pipeline problem.
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Select the onboarding CLI when the desired outcome is a configured repository rather than a one-time query. It is appropriate for supported product setup and generated application or infrastructure configuration, provided Node.js 22 or later is available and the organization accepts its source-upload and command-execution authorization model.
Evaluate Ground Truth CLI only as an announced option
Consider Ground Truth CLI for future investigation and recovery-evidence workflows, but verify rollout status and command coverage first. The October 6, 2026 announcement alone is not enough evidence for a production standard.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Workflow comparison by task
| Your task | Most direct fit | Why | Check before rollout |
|---|---|---|---|
| Apply tags or define workloads during deployment | New Relic traditional CLI | These operations are explicitly represented in its entity and workload command groups. | Confirm account, profile, region, and write permissions. |
| Record an APM deployment marker | New Relic traditional CLI | Deployment-marker automation is part of the documented DevOps use case. | Test against a nonproduction service and verify the marker appears on the intended entity. |
| Run NRQL or a NerdGraph request from a script | New Relic traditional CLI | Both NRQL and NerdGraph are listed command areas; NerdGraph provides a GraphQL interface across New Relic APIs and microservices. | Separate query/configuration calls from telemetry-ingest APIs and parse structured output. |
| Inspect or manage multiple Datadog resource types | Pup CLI | Its documented scope includes monitors, logs, metrics, RUM, and security. | Verify the exact command and OAuth or environment credential scope. |
| Trace a build command and attach measures | datadog-ci |
CI Visibility documents command tracing plus custom tags and numerical measures. | Pin the package in the runner and prevent secrets from entering tags. |
| Run synthetic or other Continuous Testing checks in a pipeline | datadog-ci |
Continuous Testing documentation covers CI/CD execution and branch-blocking or rollback patterns. | Define failure behavior and ensure the pipeline can safely stop or roll back. |
| Upload coverage reports | datadog-ci |
Datadog documents coverage-upload use cases and installation routes. | Validate report format, artifact paths, and the credential used by the uploader. |
| Generate or update repository configuration | Datadog agentic onboarding CLI | It links an account to a project, configures supported products, and edits supported files. | Use Node.js 22 or later, review diffs, and assess source-upload and command-execution permissions. |
| Investigate incidents and preserve recovery evidence from a terminal | Ground Truth CLI, subject to availability | The October 6, 2026 announcement positions it for investigation, recovery verification, and operational evidence. | Confirm documented availability, release status, and command coverage. |
Authentication, profiles, and blast radius
Credential design can decide the practical winner even when both vendors can perform a similar operation.
New Relic profile strategy
New Relic profiles hold a user key and settings, including a selected region. Use separate profiles for separate accounts or environments, and pass an explicit profile or account ID in automation. This makes the target visible in a pipeline log and reduces accidental cross-account writes.
Datadog scoped credentials
Pup’s documented OAuth2/PKCE and environment-credential paths support scoped access. For CI, issue credentials to the specific job and rotate them through the CI secret store. For onboarding, decide whether API/application-key authorization or OAuth best fits your review and revocation process.
Repository-writing permissions
Onboarding is materially different from a read-only query because it can edit files. Its stated authorization behavior includes source-code upload and automatic command execution. Run it in an isolated branch or disposable workspace first, inspect every change, and restrict network and filesystem access where your runner supports those controls.
Output, scripting, and operational reliability
New Relic’s global JSON, text, and YAML options let a script choose between human-readable output and machine parsing. Pup likewise emphasizes structured JSON/YAML output. In either case, parse documented fields rather than matching display text, and pin a tested CLI version in production runners when the vendor supports version selection.
Neither source set provides a benchmark for speed, failure rate, or usability. Do not infer that one CLI is faster or more reliable. Build a small acceptance test around your own commands: authentication, a representative read, a controlled write, malformed-input handling, and the output shape consumed by the next pipeline step.
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A deployment pipeline often needs two separate integrations: one that emits observability metadata and another that changes observability configuration. New Relic’s deployment-marker and workload operations can be part of the release automation itself. Datadog’s datadog-ci specializes in tracing pipeline commands, attaching tags or measures, running tests, and uploading coverage.
Keep those concerns separate in the pipeline. Give telemetry emission the minimum write scope, run configuration changes in a reviewed stage, and make test failures explicit: either block the branch or trigger a rollback according to a policy you have tested. Avoid granting a coverage-upload step permission to modify monitors or infrastructure.
Datadog CLI alternatives and portability considerations
If someone asks for “Datadog CLI alternatives,” first establish whether they mean a platform shell, a CI package, or a repository bootstrapper. New Relic CLI is a meaningful alternative only for platform operations that both tools actually expose; it is not a drop-in replacement for Datadog’s CI test runner or onboarding workflow. Conversely, Pup is the relevant Datadog comparison for New Relic’s general resource and query automation.
Portability is also limited by the telemetry stack. A command that creates a New Relic workload cannot create an equivalent Datadog object without mapping semantics, credentials, and naming conventions. Keep vendor-specific steps behind a small internal interface if you expect a future migration, and test the resulting alerts, dashboards, tags, and deployment links in the destination platform.
Costs, entitlements, and documentation maturity
The cited CLI documentation does not establish comparable pricing, plan gates, or account entitlements. Do not assume that a free download means every backend capability is included in every account, or that a command works across all product editions. Ask each vendor which account permissions, sites, products, and CI features your exact workflow requires.
Documentation maturity also differs by tool purpose. New Relic’s traditional CLI has a reference organized by command groups and global options. Pup’s page provides a broad overview and sends readers to repository documentation for the complete command list. datadog-ci and onboarding have task-specific guides. Ground Truth CLI currently has an announcement as the cited evidence, not a full operational reference. Treat those evidence levels differently in a production review.
Quick Recap
A practical selection checklist
- Write the exact operation: query, resource change, deployment marker, CI trace, test gate, coverage upload, repository edit, or incident investigation.
- Identify the telemetry vendor and account or site that already owns the data.
- Confirm the documented command exists for your product area; do not infer parity from a marketing description.
- Choose the smallest credential scope and record the region, site, account, or profile explicitly.
- Select JSON or YAML output when another process will parse results.
- For repository-writing tools, review generated diffs and run validation before merging.
- Pin a tested runtime and CLI version where possible; recheck current installation documentation before upgrades.
- Test failure behavior, retries, rollback or branch-blocking policy, and secret handling in a nonproduction environment.
- Document the fallback path if a command is unavailable or a vendor changes its interface.
Sources and current documentation
- New Relic: Get started with the New Relic CLI
- New Relic CLI Reference
- New Relic: Meet NerdGraph
- New Relic Introduces New Relic Ground Truth CLI, October 6, 2026
- Datadog: Pup CLI
- Datadog: Getting Started with CI Visibility
- Datadog: Continuous Testing and CI/CD
- Datadog: Agentic Onboarding Setup
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
