vs.

Datadog watches your stack. Noibu works your store.

Datadog gives engineering teams deep visibility into infrastructure, applications, and user sessions. Noibu gives ecommerce teams supervised AI agents that find what's costing revenue, do the work, and hand it back for your approval.

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Many teams run both. Datadog keeps the platform up. Noibu turns what shoppers experience into conversion, speed, and revenue gains your team signs off on.

Trusted by the world’s biggest brands

Built for the team that owns revenue

Datadog is built for SREs and developers, around uptime, latency, and incidents. Noibu is built for the ecommerce, product, and engineering teams responsible for what the store earns, with every finding tied to its funnel stage and revenue at risk.

Where Datadog stops:

Alerts and investigations center on system health, not conversion.
Funnel stage and revenue at risk need custom attributes and dashboards.
Growth and merchandising teams rely on engineers to interpret the data.

Agents for the whole store, not just incidents

Each Noibu agent owns an ecommerce outcome: checkout errors, page speed, product page conversion, accessibility, A/B tests, and ROAS. Agents find the issue, draft the work, and hand it back for approval.

Where Datadog stops:

Bits AI agents focus on incident response, code, and security.
No agents for conversion, page content, or ad spend.
The Dev Agent proposes code changes from telemetry, not shopper behavior.

From finding to done, with you in control

Noibu ranks every issue by revenue impact, does the work, and measures what moved. Nothing ships without your approval. Use the agents in the Noibu console or from Claude and ChatGPT through the Noibu MCP.

Where Datadog stops:

Prioritizes by technical severity and volume, not estimated revenue.
Proving a conversion lift means joining Datadog data to your commerce data.
RUM and replay are priced per 1,000 sessions, so cost rises with traffic.

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Feature-by-feature comparison

Both platforms see real user sessions. The difference is who they're built for and what happens next.

Datadog (full-stack observability for engineering teams)

Noibu (AI for ecommerce operations)

Real user sessions and replay

✅

RUM and Session Replay, priced per 1,000 sessions, so cost rises with traffic.

Every session captured, with funnel stage, frustration signals, and custom data attached.

Error detection

✅

Error Tracking groups front-end errors into issues and links them to replays and backend traces.

Front-end errors grouped by signature and linked to sessions, stack traces, and HTTP payloads.

Prioritization

⚠️

Prioritized by error volume, users affected, and technical severity.

Prioritized by estimated revenue impact and funnel stage, checked by AI and human review.

AI agents and taking action

⚠️

Bits AI agents cover incident response, code, and security. The Dev Agent can propose code fixes as pull requests.

Agents for errors, performance, CRO, accessibility, A/B tests, and ROAS create pull requests, draft page changes, and set up tests. Nothing ships without approval.

Conversion and CRO

⚠️

Possible with Product Analytics, custom attributes, and dashboards.

Built in: heatmaps, journeys, product page recommendations, and test results tied to revenue.

Where teams use it

✅

The Datadog app, plus Datadog's MCP server.

The Noibu console, plus Claude, ChatGPT, and other AI tools through the Noibu MCP.

Real user sessions and replay

✅

RUM and Session Replay, priced per 1,000 sessions, so cost rises with traffic.

Every session captured, with funnel stage, frustration signals, and custom data attached.

Error detection

✅

Error Tracking groups front-end errors into issues and links them to replays and backend traces.

Front-end errors grouped by signature and linked to sessions, stack traces, and HTTP payloads.

Prioritization

⚠️

Prioritized by error volume, users affected, and technical severity.

Prioritized by estimated revenue impact and funnel stage, checked by AI and human review.

AI agents and taking action

⚠️

Bits AI agents cover incident response, code, and security. The Dev Agent can propose code fixes as pull requests.

Agents for errors, performance, CRO, accessibility, A/B tests, and ROAS create pull requests, draft page changes, and set up tests. Nothing ships without approval.

Conversion and CRO

⚠️

Possible with Product Analytics, custom attributes, and dashboards.

Built in: heatmaps, journeys, product page recommendations, and test results tied to revenue.

Where teams use it

✅

The Datadog app, plus Datadog's MCP server.

The Noibu console, plus Claude, ChatGPT, and other AI tools through the Noibu MCP.

Switching from Datadog: What teams ask

“Datadog already has RUM and session replay.”

So why add Noibu?

Datadog shows engineers what happened in a session. Noibu connects every session to the funnel and to revenue, ranks issues by what they cost, and puts agents to work on the biggest ones.

“Datadog has AI agents too.”

How are Noibu's agents different?

Datadog's Bits AI agents focus on incident response, code, and security. Noibu's agents each own an ecommerce outcome, like checkout errors, page speed, product page conversion, accessibility, A/B tests, or ROAS. Nothing ships without your approval.

“Do we have to replace Datadog?”

Usually not.

Many ecommerce teams run both: Datadog for backend and infrastructure health, and Noibu for the storefront and the revenue it drives. Some move front-end monitoring and session replay into Noibu and keep Datadog for the backend.

Put Noibu's agents to work on your store

Keep Datadog on the stack. Let Noibu find what's costing your store orders, starting with a free audit of your checkout funnel.

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