AI SRE comparison
WHAWIT vs Datadog Bits
Bits is a strong investigator inside Datadog's world. WHAWIT works your whole stack — Datadog included — and finishes the job.
Short answer
To be clear about scope: this page compares WHAWIT with Bits, Datadog's AI investigator — not with Datadog the observability platform, which WHAWIT connects to read-only and is happy to make more valuable. Bits is the most production-proven autonomous investigator in the market and its per-investigation pricing is public — both worth respecting. Its world, however, is Datadog's: it reasons primarily over Datadog telemetry, its remediation lives inside Datadog Workflow Automation, and it is not an incident platform with rostered on-call. WHAWIT investigates across every vendor you run — Datadog, CloudWatch, Sentry, New Relic and 20+ more — pages through its own schedules, executes approval-gated recovery actions, and ships the code fix as a pull request. If all your telemetry lives in Datadog and you want a fast triage layer, Bits is a fine choice. If your incidents cross vendor boundaries — most do — the investigation should too.
Side by side
| Capability | WHAWIT | Datadog Bits |
|---|---|---|
| AI root-cause investigation with cited evidence | ||
| Public per-unit AI pricing or in-product spend ledger | ||
| Investigation without consolidating telemetry into one vendor's platform | ||
| WhatsApp as a paging channel | ||
| AI agents with scheduled shifts on the on-call roster | ||
| Coding agent ships the fix as a pull request | ||
| Remediation outside the vendor's own workflow engine | ||
| Production footprint across thousands of organizations |
Based on each vendor's public documentation as of August 2026. Datadog Bits is a trademark of its respective owner and is not affiliated with WHAWIT.
Where the products actually differ
Your stack is bigger than any one vendor
WHAWIT connects read-only to Datadog and to everything Datadog is not: CloudWatch, GCP, Azure, Sentry, New Relic, BetterStack, Honeycomb and more. One investigation reasons across all of it, which is where cross-service incidents actually live.
An incident platform, not just an investigator
Bits hands its findings to whatever incident process you run. WHAWIT is that process: incident lifecycle, on-call schedules, escalation policies and seven paging channels, with the investigation attached to the page.
The loop ends in a pull request
From an investigated incident, one click sends WHAWIT's coding agent to implement and test the fix in a sandbox and open a review-ready PR linked to the incident. Investigation without a fix is a well-written page.
Costs stay visible either way
Datadog publishes per-investigation credit pricing; WHAWIT itemizes every model call per analysis inside the product and passes AI consumption through at cost. Either way you are not buying a black box — we just think at-cost beats a meter.
Questions teams ask
Is WHAWIT an alternative to Datadog?
Not to Datadog the observability platform — WHAWIT connects to it read-only and extracts more value from it. This comparison is with Bits, Datadog's AI investigator. As an alternative to Bits, WHAWIT investigates across every vendor you run, not only Datadog, and adds native on-call, approval-gated remediation and AI-written fix PRs.
We are a Datadog shop. Why add WHAWIT?
Keep Datadog. WHAWIT reads it alongside the rest of your stack — CloudWatch, Sentry, GitHub and more — pages your team through its own schedules with the analysis attached, and closes incidents with tested pull requests. Bits makes Datadog smarter; WHAWIT makes the whole incident end sooner.
Does WHAWIT require moving telemetry out of Datadog?
No. WHAWIT is 100% read-only against your existing providers. Nothing migrates, nothing is duplicated, and your Datadog bill does not change because of WHAWIT.
Run them side by side
Keep Datadog Bits paging while WHAWIT investigates the same incidents. Compare the two on your own outages before you move a single rotation.