PagerDuty vs Rootly: A Complete Comparison for 2026

Most incident tools wait for you to come to them. Rootly comes for PagerDuty directly. Its homepage button reads "Switch from PagerDuty," it will buy out your remaining PagerDuty contract so you do not pay twice during the move, and it runs the migration for you. That is an unusually pointed go-to-market, and it works because Rootly is making a specific bet: that the incident tool built in the AI era should have AI in every step and the whole lifecycle in one product, not paging in the base plan and everything valuable sold as an add-on.

That framing is the heart of the comparison. PagerDuty is the category's incumbent, the platform that defined paging and still offers the deepest escalation logic, the most integrations, and the strongest compliance story, with its most advanced capabilities priced as separate add-ons. Rootly is an AI-native, all-in-one challenger that folds on-call, incident response, AI investigation, retrospectives, and status pages into one included platform, and it is independent and venture-backed rather than owned by a larger suite.

Rootly's own marketing calls PagerDuty a stagnant legacy page, which is worth taking with salt: PagerDuty ships actively and has added mature AIOps, a GA AI agent, and an MCP server. But two of Rootly's critiques hold up, PagerDuty gates its best features behind add-ons, and it pages services rather than people directly. This comparison works through architecture, paging, incident response, AI, automation, the service catalog, status pages, the observability both leave out, pricing, security, and Rootly's vendor profile, so the choice rests on how each is built rather than on either vendor's pitch.

Quick comparison at a glance

Read the table as a difference in philosophy: PagerDuty prices depth into add-ons and models the world as services, while Rootly includes everything and pages people directly.

Platform and philosophy

Both begin at the alert and neither generates it. The difference is scope and pricing model. PagerDuty is built to route and reduce event volume, with advanced capability sold separately. Rootly is built to carry the whole incident from page to retrospective in one included platform.

PagerDuty: the operations cloud, with add-ons

PagerDuty's Operations Cloud centers on an event pipeline that ingests alerts from more than 700 integrations, deduplicates and groups them, applies orchestration rules, and routes the result through escalation policies. It is deep, mature, and actively developed, with a GA SRE Agent and an MCP server. Its design choice, the one Rootly attacks hardest, is that the highest-value pieces, AIOps noise reduction, the AI agents, status pages, are add-ons rather than base features, and its data model is built around services.

Rootly: AI-native, all-in-one, independent

Rootly covers the full lifecycle in one product: on-call, incident response in Slack and Teams, AI SRE investigation, retrospectives, a native service catalog, workflows, and status pages, with every major feature included on every plan rather than gated behind separate SKUs. It is Slack and Teams native, so incidents are declared, coordinated, and closed without leaving chat. And it is a young, independent, venture-backed company, founded in 2020 and funded by Y Combinator, 8VC, and Google's Gradient Ventures among others, that has made AI the substrate of the product rather than a bolt-on. Its trade-off is the mirror of PagerDuty's strengths: a smaller integration ecosystem, a shorter track record at the largest regulated scale, and quote-based rather than simple published per-seat pricing.

Both, as incident tools, stop at the alert. The evidence behind it lives in a monitoring product neither one owns, which is the thread through the sections below.

On-call and the paging model

Both cover schedules, rotations, and escalation. The sharpest real difference, and Rootly's most substantive critique of PagerDuty, is who you can page.

PagerDuty: deep escalation, services-centric paging

PagerDuty's escalation logic is the deepest in the market: unlimited tiers, multi-user escalation, time-based delays, automatic reassignment, and iCal imports, scoped per service, team, or globally. The friction is that PagerDuty routes to services, so paging a team or an individual directly often means modelling teams as services or creating placeholder users. It works, and large teams have run it for years, but the workarounds accumulate into institutional knowledge you have to maintain.

Rootly: page people directly, plus on-call hygiene

Rootly pages teams, users, schedules, and Slack channels natively, with no shim services. Around that it builds the on-call hygiene features newer teams expect: native shadow rotations with no manual cleanup, automated gap detection so a rotation is never uncovered, bulk overrides across multiple schedules, synced Slack user groups, cycle-based round robin, and an on-call pay calculator. It also ships an open-source On-Call Health tool that watches for early signs of responder overload. PagerDuty's escalation is more configurable at the extreme; Rootly's model is simpler to run and removes the workarounds.

Incident response and coordination

PagerDuty's strength is the page; coordination often continues in Slack and docs outside the product. Rootly is built so the whole response happens where the team already is.

Rootly: the lifecycle inside Slack and Teams

Rootly declares the incident, assigns roles, runs workflows, updates stakeholders, and closes the retrospective natively inside Slack or Teams. Alerts and incidents are distinct objects, so an alert can be acknowledged and resolved, or promoted into a coordinated incident with roles, communications, and a retrospective, without forcing status workarounds. A meeting Scribe captures call context into the timeline. The design goal is that paging is necessary but not sufficient, and the rest of the incident belongs in the same tool.

PagerDuty: orchestrated response through workflows

PagerDuty automates coordination through incident workflows from the Business tier, opening tickets, notifying stakeholders, posting to Slack, and assigning roles, with conditional branching on the Digital Operations tier. It is capable and actively extended, but more of the human coordination tends to happen outside PagerDuty than inside it, which is the gap Rootly is built to close.

AI and MCP

This is the center of Rootly's pitch and the clearest philosophical split. Both have real AI and both have MCP servers. The difference is that PagerDuty sells AI as premium add-ons, while Rootly includes AI across the whole lifecycle and has built the company around it.

Rootly: AI as the substrate

Rootly's AI runs from the first alert through the retrospective. Its AI SRE, generally available as of May 2026, automates root cause analysis with alert correlation and suggested fixes, running parallel hypothesis checks and surfacing root cause with confidence scores and visible reasoning. A @Rootly agent answers questions and drives actions in Slack, the mobile app carries AI for on-the-go response, and the platform drafts stakeholder updates and auto-generates retrospectives. Two details stand out: AI blocks are transparent, so you can view and edit the prompts behind them, and the company runs Rootly AI Labs, a research effort that publishes SRE-task AI benchmarks. Rootly also acquired ThinkHive in mid-2026 to deepen the reliability engineering behind its agents. Its MCP server connects your IDE and CLI.

PagerDuty: capable AI, sold separately

PagerDuty's AIOps engine brings mature ML grouping, outlier detection, and probable-origin tracing, and its GA SRE Agent recommends and executes diagnostics, with a virtual-responder mode in early access as of the August 2026 drop. Its MCP server is GA to Professional customers and above. The capability is real and, at extreme event volume, its ML is formidable. The catch is packaging and cost: the AIOps engine starts at $699 per month metered per accepted event, the SRE Agent needs both Advance and AIOps, and each agent query consumes credits. PagerDuty's AI is powerful and premium; Rootly's is included and lifecycle-wide.

Automation, workflows, and the catalog

Both automate the mechanical parts of a response, and both model service ownership. The packaging follows the pattern set above.

Rootly's workflows branch on conditions and reach across tools, and its native service catalog models teams, services, and ownership once so paging and routing resolve automatically. PagerDuty offers automation as a broad, separately sold product line, reaching into event-driven jobs and enterprise process automation, with runbook automation listed around $125 per user per month plus an unpublished platform fee, and it models services and teams without Rootly's catalog as a first-class included feature.

The distinction is scope against inclusion. PagerDuty's automation is broader and reaches beyond incidents, at add-on pricing. Rootly's is scoped to the incident lifecycle and included, with the catalog built in.

Status pages and customer communication

PagerDuty offers public and private status pages, included on Digital Operations and sold as an add-on from $89 per 1,000 subscribers below that, with email subscriber notifications and audience-specific pages at the top tier.

Rootly includes status pages on every plan, synced to incidents so customer updates post as part of the response rather than as a separate purchase. For a team that wants customer communication without another line item, Rootly's inclusion is the practical edge; for large B2B vendors needing audience-specific pages, PagerDuty's top tier goes further.

The observability question

Both are incident-response platforms, and neither collects logs, stores metrics, records traces, tracks errors, runs real-user monitoring, or checks uptime. Choosing either one means you also run, and pay for, a separate observability platform such as Datadog, Grafana Cloud, New Relic, or Splunk.

That is the category, not a flaw, but it bounds the AI claims on both sides. Rootly's AI SRE and PagerDuty's AIOps both reason over data their monitoring integrations expose, and the raw evidence, the log lines, the trace, the deployment that broke, stays in the observability product. However included or AI-native the incident tool is, the on-call engineer still crosses that gap to investigate, and the total cost of either always carries a second monitoring invoice.

Pricing

Pricing is Rootly's loudest argument, and the structure behind it is real. PagerDuty prices per user with the advanced capabilities in add-ons. Rootly includes those capabilities and positions itself near half PagerDuty's all-in cost.

PagerDuty: a competitive sticker, expensive add-ons

PagerDuty's tiers, on annual billing, are Free for up to 5 users, Professional at $21 per user per month, Business at $41 per user per month, and a custom Digital Operations tier. The capabilities teams want most sit in add-ons: AIOps from $699 per month metered per accepted event, PagerDuty Advance around $415 per month for the AI agents, and status pages from $89 per 1,000 subscribers, which can add well over $14,000 a year before the full lifecycle is covered. Non-pageable stakeholders are also licensed separately.

Rootly: everything included, quote-based

Rootly includes every major feature, AI, status pages, alert grouping, on every plan regardless of team size, and offers a free tier for non-pageable stakeholders who need visibility without a paid seat. Its pricing is quote-based rather than a simple public per-seat number; third-party benchmark data has put typical contracts for 20 to 50 users in the mid five figures per year, negotiated, and Rootly positions the all-in figure near half of PagerDuty's once add-ons are counted. It also removes double-paying during a switch by not charging until your PagerDuty contract ends.

Head-to-head cost for a 20-person team

The scenario assumes 20 responders and each vendor's realistic feature set for a team that wants noise reduction and modern AI. It excludes observability, which both leave to a separate product.

The included model is Rootly's clearest win for teams that would otherwise buy PagerDuty's add-on stack. What PagerDuty's premium buys is the deepest escalation, the most integrations, the most battle-tested scale, and the strongest compliance, which for some organizations is worth the higher, add-on-based bill.

Security and compliance

Both cover the enterprise essentials: SOC 2, GDPR, SSO, and SCIM, though Rootly points out that PagerDuty charges for SSO and audit logging as paid add-ons where Rootly includes them. Rootly adds team-scoped permissions, an edge connector for internal systems that cannot accept inbound connections, and commits to 99.99 percent uptime against PagerDuty's 99.9 percent.

Where PagerDuty holds a clear edge is regulated-industry assurance. It maintains a FedRAMP-authorized offering and HIPAA eligibility, alongside its far larger integration ecosystem and longer enterprise track record. Rootly carries SOC 2, GDPR, and HIPAA and serves large enterprises including LinkedIn, NVIDIA, and Okta, but does not publicly disclose FedRAMP, so public-sector buyers with formal requirements should confirm scope directly.

Rootly as a vendor

For a multi-year commitment the vendor matters as much as the feature list, and Rootly's profile is distinctive. It is independent and venture-backed, founded in 2020 by JJ Tang and Quentin Rousseau, funded by Y Combinator, 8VC, Renegade Partners, and Google's Gradient Ventures, and recognized among Canada's fastest-growing tech companies. Rather than being absorbed into a larger suite, it has been acquiring, buying ThinkHive in mid-2026 to strengthen the reliability engineering behind its AI agents, and it publishes AI research through Rootly AI Labs. Its customer list, LinkedIn, NVIDIA, Replit, Figma, Canva, Okta, DoorDash, has the logos to back the ambition.

The counterweight is maturity. Rootly is a five-year-old company against a public incumbent with a far larger install base, a deeper integration catalog, and government-grade certifications. Its independence cuts both ways: a focused, fast-moving roadmap, and a smaller company carrying your paging. Neither is disqualifying; both belong in the decision.

Where each platform fits

Reach for PagerDuty when scale, depth, and compliance dominate. If you route enormous event volume, need the most configurable escalation and the largest integration ecosystem, or carry FedRAMP and HIPAA on the checklist, PagerDuty's maturity is hard to match, provided you can absorb the add-on pricing and the services-centric model.

Reach for Rootly when you want the whole lifecycle in one included, AI-native platform and you are willing to move to a younger vendor to get it. If you value paging people directly, running incidents inside Slack or Teams, AI at every step without add-ons, a free stakeholder tier, and a migration the vendor runs for you, Rootly fits that shape and usually costs less all-in.

The boundary they share stays in view for both. Whichever you pick, you are buying the response layer, the AI in each is bounded by the telemetry your monitoring exposes, and the total cost carries a separate observability bill either way.

Final thoughts

Once you look past the sharper marketing claims, the difference between PagerDuty and Rootly is still fairly clear. PagerDuty is the more mature, compliance-heavy platform, with the scale, integrations, and certifications that come from years in the category. The trade-off is that many of its more advanced capabilities, including AI, sit behind additional products and pricing layers.

Rootly takes a more bundled approach. It combines incident response, chat-based workflows, direct paging, and AI features in a more all-in-one package, and it is willing to make switching easier with contract buyouts. The trade-off is vendor maturity: you get a newer, more consolidated experience, but from a younger company with less history at enterprise scale.

That makes the decision less about individual features and more about what you value most. Choose PagerDuty for depth, ecosystem, and compliance maturity. Choose Rootly for a more integrated lifecycle, AI-first workflows, and a lower all-in cost.

There is one limitation neither platform solves. When the page fires, you still need to open a separate observability tool to see what actually broke. That means another product, another bill, and another jump between the incident workflow and the telemetry behind it.

So the deeper question is not only which platform pages your team better. It is whether the system coordinating the response should be separate from the system that already holds the evidence.

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