# PagerDuty vs Squadcast: A Complete Comparison for 2026
Most of the comparisons in this space pair two tools that barely overlap, one that owns your telemetry against one that only coordinates the response. This is not one of those. Squadcast was built from the start as a direct answer to PagerDuty, a cheaper, more transparent on-call and incident platform aimed squarely at teams staring at a PagerDuty renewal quote and doing the per-seat math. That makes this an unusually close head-to-head: two products doing nearly the same job, competing on price model, noise reduction, and depth rather than on category.
**PagerDuty is the enterprise incumbent**, the most configurable and most add-on-heavy incident platform in the market, refined since 2009 for high-volume event routing. Squadcast built itself as the affordable, transparent-priced answer to exactly that, with a free-stakeholder model and alert deduplication deep enough that Redis reportedly cut incoming alerts from tens of thousands to hundreds. **Squadcast now ships as SolarWinds Incident Response**, after SolarWinds acquired it in 2025 and rebranded the product in March 2026, which adds a roadmap question this comparison takes seriously later on.
One thing they share completely: neither collects your telemetry. Both receive alerts from a monitoring stack you run elsewhere, route them, and manage the response. This walks through architecture, noise reduction, on-call, workflows, AI, SLOs and analytics, status pages, the observability neither owns, pricing, security, and the SolarWinds question, so you can decide which side of an unusually close race fits your team.
## Quick comparison at a glance
Read the table as a real head-to-head rather than two tools in different lanes. The differences are in pricing philosophy, machine intelligence, and ownership, not in whether each one can run your on-call.
| Category | PagerDuty | Squadcast |
|---|---|---|
| **Product type** | Enterprise event-routing and incident platform | On-call and incident response platform |
| **Maturity** | Founded 2009, category incumbent | Founded 2017, now SolarWinds Incident Response |
| **Positioning** | Enterprise default | Transparent-priced PagerDuty alternative |
| **On-call scheduling** | ✔, most configurable in the category | ✔, deep, the core product |
| **Alert noise reduction** | Mature ML, AIOps add-on from $699/month | ✔, Event Intelligence and APTA, in-plan |
| **AI SRE agent** | ✔, GA, requires Advance plus AIOps | Reliability AI, alert-correlation focused |
| **MCP server** | ✔, GA, Professional and above | ✘ |
| **Runbooks and workflows** | Automation add-on and process automation | ✔, executable runbooks, visual builder |
| **Status pages** | Add-on from $89 per 1,000 subscribers | Included, email notifications |
| **Free stakeholder model** | Stakeholder licenses billed separately | ✔, unlimited on Enterprise, up to 10 on Premium |
| **Deployment** | SaaS only | SaaS, on-premise on Enterprise |
| **Logs, metrics, traces** | ✘, consumes alerts only | ✘, consumes alerts only |
| **Pricing model** | Per user plus add-ons | Per user, tiered, add-ons in-plan |
| **Compliance** | SOC 2, GDPR, FedRAMP authorized, HIPAA-eligible | SOC 2, GDPR |
| **Owner** | Independent, public | SolarWinds, privately held by Turn/River Capital |
## Platform architecture and positioning
Both platforms begin where an alert already exists, and neither generates it. The architectural story here is less about a philosophical split and more about scale of ambition: PagerDuty is built to shape enterprise event volume, and Squadcast is built to be the focused, affordable on-call layer that does the same core job without the enterprise price tag.
### PagerDuty: the operations cloud built for event volume
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. If you receive tens of thousands of events a day, the rule engine is granular enough to inspect any field on an alert, rewrite it, suppress it, or route it on almost any condition. It produces none of the telemetry it routes, by design.
### Squadcast: the focused on-call platform, now SolarWinds Incident Response
Squadcast receives alerts from more than 200 monitoring tools, deduplicates and correlates them through its Event Intelligence engine, and routes the right signal to the right on-call engineer through schedules, escalation policies, and notification channels. It stores alert metadata rather than telemetry, so when an incident fires, the engineer sees the alert payload and clicks through to Datadog or Grafana for the logs and traces. Since the SolarWinds acquisition, the product has been folded into the SolarWinds portfolio and renamed SolarWinds Incident Response, though it is still widely known and evaluated as Squadcast.
The two share the same boundary exactly: they coordinate response over data they do not hold. That is the thread running through every section below.
| Architecture aspect | PagerDuty | Squadcast |
|---|---|---|
| **Core model** | Event pipeline and routing engine | Alert ingestion and on-call routing |
| **Event ingestion** | 700+ integrations | 200+ integrations |
| **Telemetry collection** | ✘ | ✘ |
| **Context at alert time** | Alert payload from source tools | Alert payload from source tools |
| **Deployment** | SaaS only | SaaS, on-premise on Enterprise |
| **Marketplace** | Cloud marketplaces | AWS and Azure marketplaces |
[summary]
### The stack both of them plug into
PagerDuty and Squadcast both plug into a monitoring stack you buy and run separately, and the quality of every alert they route is set by that upstream system. Better Stack collapses the two layers: it ingests your telemetry directly, natively OpenTelemetry, so the monitor that fires the alert and the data that explains it live in one platform. There is no upstream vendor deciding what the incident tool gets to see.
**When one platform owns both the telemetry and the routing, the alert arrives with its evidence, not a pointer to it.** [See how Better Stack ingests your data](https://betterstack.com).
[/summary]
## Alert noise reduction
This is Squadcast's signature strength and the place where the head-to-head is most interesting, because both platforms have invested heavily in cutting noise but charge for it very differently.
### Squadcast: Event Intelligence and APTA, in the plan
Squadcast's Event Intelligence applies deduplication, tagging, and suppression before alerts reach engineers. Auto Pause Transient Alerts holds notifications for alerts that typically self-resolve within a short window, preventing needless wake-ups. This is the capability Squadcast is best known for, and the Redis result, tens of thousands of alerts reduced to hundreds, is the number reviewers cite most. Crucially, this depth is part of the plans rather than a separate five-figure add-on.
### PagerDuty: a mature ML pipeline, sold as an add-on
PagerDuty's AIOps engine has been learning from event patterns across thousands of enterprise customers for years, and its alert grouping, outlier detection, and probable-origin tracing are strong. The trade-off is packaging: it lives in the AIOps add-on, which starts at $699 per month on annual billing and is metered per accepted event. The ML may be more sophisticated at extreme scale, but Squadcast delivers most of the day-to-day noise reduction teams actually need without a separate line item.
| Noise reduction | PagerDuty | Squadcast |
|---|---|---|
| **Deduplication** | ✔, AIOps add-on | ✔, Event Intelligence, in-plan |
| **Transient-alert suppression** | Via AIOps | ✔, APTA |
| **ML correlation depth** | Deep, cross-customer | Strong, in-plan |
| **Outlier and probable origin** | ✔, AIOps add-on | Pattern-based suppression |
| **Pricing** | Add-on from $699 per month, per event | Included in paid tiers |
## On-call scheduling and escalation
Both platforms are deep here, which is rare, because most tools that compete with PagerDuty concede on escalation configurability. Squadcast does not.
### PagerDuty: the most configurable escalation engine in the category
PagerDuty's policies support unlimited tiers, multi-user escalation at each level, time-based delays, automatic reassignment on no-acknowledgement, and imported schedules over iCal, scoped per service, per team, or globally. Combined with event orchestration, this is what lets it absorb enormous volume without paging a human for everything. For a follow-the-sun operation spanning dozens of teams, that configurability is the reason to be there.
### Squadcast: on-call as the core business
Squadcast has been building on-call since 2017, and the depth shows in features PagerDuty charges more for or handles less cleanly. Live Call Routing connects an external caller straight to whoever is on call without a manual lookup. Schedules support follow-the-sun, weekly, and custom rotations with clean override handling. The workload analytics track alert distribution across the team to flag burnout risk before it becomes attrition. The mobile app draws consistent praise for notification reliability, which is the one thing an on-call tool cannot get wrong.
If you are migrating off PagerDuty and want feature parity on scheduling depth and notification reliability, Squadcast is a more direct replacement than most alternatives in this cluster.
| On-call feature | PagerDuty | Squadcast |
|---|---|---|
| **Rotation scheduling** | ✔, most configurable | ✔, advanced, follow-the-sun |
| **Multi-tier escalation** | ✔, unlimited tiers | ✔, multi-tier |
| **Live call routing** | Add-on | ✔ |
| **Transient-alert suppression** | Via AIOps | ✔, APTA |
| **Workload analytics** | Analytics tiers | ✔, dedicated module |
| **Mobile app** | ✔ | ✔, highly rated |
| **Unlimited phone and SMS** | Higher tiers and add-ons | Enterprise tier |
## Runbooks and workflows
Both automate the mechanical parts of a response, and both are strong. Squadcast leans on a visual builder aimed at teams without dedicated SRE tooling. PagerDuty offers a broader, more expensive automation product line.
### Squadcast: executable runbooks and a visual workflow builder
Squadcast's runbooks execute directly from the incident interface, so an engineer can trigger remediation steps without switching tools. The Workflows module triggers on incident lifecycle events, created, acknowledged, resolved, reassigned, and runs actions across connected tools: open a Jira ticket when a P1 is declared, post to a customer-success Slack channel when a user-facing service goes down, update a ServiceNow record when an incident resolves. The builder is visual rather than code, which lowers the barrier for teams without spare SRE cycles, and the bidirectional ServiceNow integration reflects the enterprise market Squadcast has moved toward.
### PagerDuty: automation as a separate product line
PagerDuty's automation reaches past incident runbooks into event-driven jobs and, at the top end, process automation that spans change management, compliance approvals, and provisioning across teams and systems. It is more powerful and broader than Squadcast's workflows, and it is priced as a distinct product, with runbook automation listed around $125 per user per month plus an unpublished platform fee. The distinction is scope against cost: Squadcast automates the incident affordably, PagerDuty automates operations broadly at enterprise pricing.
| Runbooks and workflows | PagerDuty | Squadcast |
|---|---|---|
| **Executable runbooks** | ✔, automation add-on | ✔, from the incident interface |
| **Visual workflow builder** | ✘ | ✔ |
| **Lifecycle-event triggers** | ✔ | ✔ |
| **ITSM automation** | Via integrations | ✔, bidirectional ServiceNow |
| **Enterprise process automation** | ✔, dedicated product | ✘ |
| **Pricing** | Separate add-on | Included in higher tiers |
## AI and MCP
Here the head-to-head opens up, and PagerDuty pulls clearly ahead. Squadcast's AI is aimed at the alert layer, while PagerDuty has shipped an autonomous agent and an MCP server.
### PagerDuty: mature AIOps, a GA SRE Agent, and MCP
On top of AIOps sits a GA SRE Agent that learns from related incidents, surfaces context, and recommends and executes diagnostics. Its virtual-responder mode, placing the agent on an escalation policy, is in early access as of the August 2026 drop, as is agent-to-agent interaction with AWS and Azure cloud agents, slated for GA by the end of the first half of FY27. The SRE Agent requires both PagerDuty Advance and AIOps, and each query consumes Advance credits. PagerDuty's MCP server is GA to Professional customers and above, with plug-ins for Cursor and Claude Code, so an AI assistant can query incidents, services, and schedules directly.
### Squadcast: Reliability AI for the alert layer
Squadcast's Reliability AI focuses on the incident-response workflow rather than root-cause analysis. It applies machine learning to the alert stream to improve deduplication, spot patterns across recurring incidents, and suggest suppression and workflow automation. What it cannot do is analyze your log corpus, trace a distributed request, or tie an alert to the deployment that caused it, because that data lives in your observability platform, not in Squadcast. There is also no MCP server, so an AI coding assistant cannot query Squadcast the way it can query PagerDuty.
| AI capability | PagerDuty | Squadcast |
|---|---|---|
| **ML noise reduction** | ✔, AIOps add-on | ✔, Reliability AI, in-plan |
| **AI SRE agent** | ✔, GA, virtual-responder mode in early access | ✘, alert-correlation focused |
| **Root-cause analysis** | Event correlation plus connected tools | Alert payload only |
| **MCP server** | ✔, GA, Professional and above | ✘ |
| **AI coding integration** | Claude Code, Cursor | ✘ |
| **AI data source** | Events plus connected tools | Alert stream only |
[summary]
### An AI that can open the logs
PagerDuty's AI correlates events and Squadcast's tunes the alert stream, but neither can open your logs and ask what changed, because neither holds them. Better Stack's AI SRE and MCP server sit on the same platform as your telemetry, so Claude or Cursor can query the actual logs, trace the failing request, and point at the deployment behind it, returning a hypothesis with evidence rather than a tidier alert.
**An assistant that reads the raw data investigates the incident, instead of just organizing the page about it.** [Fix errors with the MCP server](https://betterstack.com).
[/summary]
## SLOs, service health, and analytics
Squadcast has built out a reliability-analytics layer that goes beyond raw on-call, and it is a real part of the comparison, especially for engineering leaders rather than responders.
### Squadcast: SLOs, Service Health, and Incident Analytics
Squadcast's SLO and Error Budget module tracks service-level indicators against objectives, defined from metrics on your connected monitoring tools, and routes breach alerts through the same on-call path. Service Health gives a catalog-style view of which services have active incidents and how they are tracking against their SLOs. Incident Analytics and Reliability Insights surface MTTR trends by team and service, alert-volume patterns, and on-call workload distribution.
### PagerDuty: analytics across paid tiers
PagerDuty offers incident and operational analytics across its paid tiers, covering response performance and team health. It does not gate the fundamental reliability metrics to a single top tier the way some competitors do. Where Squadcast differentiates is the packaged SLO-and-Service-Health view aimed at giving leadership a cross-service reliability picture in one place.
| SLO and analytics | PagerDuty | Squadcast |
|---|---|---|
| **SLO and error budgets** | Via analytics and integrations | ✔, dedicated module |
| **Service health view** | Services model | ✔, catalog-style dashboard |
| **MTTR and MTTD analytics** | Across paid tiers | ✔, Incident Analytics |
| **On-call workload analytics** | Analytics tiers | ✔, dedicated |
| **Note on tiering** | Fundamental metrics not top-tier gated | Advanced analytics on higher tiers |
## Status pages and customer communication
Both include status pages tied to the incident. The differences are in cost model and subscriber channels.
### PagerDuty: status pages as an add-on, email only
PagerDuty offers public and private status pages, included on Digital Operations and sold as an add-on from $89 per 1,000 subscribers per month below that, with email-only subscriber notifications. Its audience-specific pages, a top-tier feature, are a real strength for large B2B vendors with segmented SLAs.
### Squadcast: status pages in the plan
Squadcast includes public and internal status pages with component-level tracking, scheduled maintenance windows, and automatic updates from incident actions, at no separate per-subscriber cost. Subscriber notifications are email only, so like PagerDuty it does not push SMS or Slack updates to external subscribers. The advantage over PagerDuty here is packaging: the pages come with the plan rather than as a metered add-on.
| Status pages | PagerDuty | Squadcast |
|---|---|---|
| **Included in plan** | Digital Operations only, add-on below | ✔ |
| **Public and private pages** | ✔ | ✔, public and internal |
| **Incident sync** | Automatic | Automatic |
| **Subscriber channels** | Email only | Email only |
| **Audience or per-customer pages** | Audience-specific, Digital Operations | ✘ |
| **Per-subscriber cost** | $89 per 1,000 subscribers add-on | Included within plan |
## The observability question: what neither platform covers
This is the largest structural fact in the comparison, and it lands on both tools identically. PagerDuty and Squadcast are incident-response platforms. 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 everything above. Squadcast's Event Intelligence dedupes the alerts your monitoring tools emit, and PagerDuty's AIOps correlates the same, but the evidence behind any alert, the log lines, the trace, the deployment that broke, stays in the observability product. The on-call engineer crosses that gap by hand, every incident, and the total cost of either platform always carries a second monitoring invoice alongside it.
| Observability capability | PagerDuty | Squadcast |
|---|---|---|
| **Log management** | ✘ | ✘ |
| **Infrastructure metrics** | ✘ | ✘ |
| **Distributed tracing and APM** | ✘ | ✘ |
| **Real user monitoring** | ✘ | ✘ |
| **Error tracking** | ✘ | ✘ |
| **Uptime monitoring** | ✘ | ✘ |
| **Investigation data** | External tools over integrations | External tools over integrations |
[summary]
### The other tab, closed
With either platform, the moment you need to know what actually broke, you leave the incident tool and open your observability tab to run the search. Better Stack keeps the search in the same place as the page: logs, metrics, and traces live beside on-call and status pages, queryable with SQL, so the investigation starts in the interface that alerted you rather than a product away.
**When the log search and the escalation share one screen, there is no other tab to open at 3am.** [See the unified Live Tail](https://betterstack.com).
[/summary]
## Pricing
Pricing is the reason Squadcast exists, so it is where the head-to-head is sharpest. Both bill per user, but PagerDuty layers the features teams want into paid add-ons, while Squadcast folds most of them into tiers that top out below PagerDuty's Business seat.
### 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 features that matter in production sit outside those numbers: 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. A Business team that wants noise reduction and the AI responder is past $2,000 per month before any observability.
### Squadcast: tiered, with a free-stakeholder model
Squadcast's published tiers have been a free plan for small teams, Pro at $9 per user per month, Premium at $16 per user per month with up to 10 free stakeholders, and Enterprise at $21 per user per month with unlimited stakeholders, on-premise deployment, and unlimited phone and SMS. Advanced features like SLO tracking, incident analytics, runbooks, and Reliability AI arrive on the higher tiers. The free-stakeholder model, view-only users who receive incident updates without a paid seat, is the differentiator customers cite most against PagerDuty, since it gives a whole engineering org visibility without a rotation seat for everyone. Note that the lower tiers cap monthly SMS and voice per user, with unlimited notifications reserved for Enterprise, and that pricing under the SolarWinds rebrand is worth confirming directly, since acquisitions tend to revisit it.
### Head-to-head cost for a 20-person team
The scenario assumes 20 responders and a team that wants each vendor's fuller feature set. It excludes the observability platform both still require.
| Cost component | PagerDuty | Squadcast |
|---|---|---|
| **Base seats** | 20 on Business at $41, so $820 per month | 20 on Enterprise at $21, so $420 per month |
| **Noise reduction** | AIOps add-on from $699 per month | Included |
| **AI features** | Advance around $415 per month | Reliability AI included, alert-scoped |
| **Status pages** | Add-on from $89 per month | Included |
| **Stakeholder visibility** | Stakeholder licenses billed separately | Unlimited free on Enterprise |
| **Monthly total, incident tooling** | Roughly $2,023 per month | Roughly $420 per month |
| **Observability platform** | Separate, not included | Separate, not included |
Squadcast is dramatically cheaper at feature parity, and the free-stakeholder model widens the gap at large headcounts. What PagerDuty buys for the premium is the deepest escalation configurability, more sophisticated ML at extreme event volume, a GA AI agent with an MCP server, and government-grade compliance, none of which Squadcast fully matches.
[summary]
### The monitoring bill folded in
Whichever quote is lower, both are only the response layer, and the monitoring platform that actually holds your logs and runs your uptime checks is a separate contract. Better Stack charges by data volume plus $29 per responder, with monitoring, incident management, on-call, status pages, and AI SRE on one invoice. For a team comparing PagerDuty-plus-Datadog against Squadcast-plus-Grafana, the interesting number is the sum, and consolidating collapses it.
**The cheaper on-call seat still leaves a monitoring bill that a unified platform absorbs.** [See what one platform covers](https://betterstack.com).
[/summary]
## Security, compliance, and deployment
Both cover the enterprise basics: SOC 2 Type II, GDPR, SSO, SCIM, RBAC, and audit logs. Two differences matter for regulated and self-hosted buyers.
PagerDuty's edge is government-grade assurance: a FedRAMP-authorized offering and HIPAA eligibility, which Squadcast does not publicly match. Squadcast's edge is deployment flexibility: an on-premise option on the Enterprise plan for air-gapped or tightly regulated environments, where PagerDuty is SaaS only, plus availability on the AWS and Azure marketplaces for teams that prefer to procure through cloud commitments.
| Security and deployment | PagerDuty | Squadcast |
|---|---|---|
| **SOC 2 Type II** | ✔ | ✔ |
| **GDPR** | ✔ | ✔ |
| **HIPAA** | ✔, HIPAA-eligible | Not publicly disclosed |
| **FedRAMP** | ✔, authorized offering | Not publicly disclosed |
| **SSO, SCIM, RBAC** | ✔ | ✔ |
| **On-premise deployment** | ✘, SaaS only | ✔, Enterprise |
| **Cloud marketplaces** | ✔ | ✔, AWS and Azure |
## The SolarWinds question
The variable that has nothing to do with features is ownership, and Squadcast's is unusual. SolarWinds acquired Squadcast in 2025 and, in March 2026, rebranded it as SolarWinds Incident Response, positioning it as the incident layer of a broader observability and IT-service-management portfolio. In the same period, SolarWinds itself was taken private by Turn/River Capital in a roughly $4.4 billion deal that closed in April 2025 and delisted the company from the NYSE. So Squadcast now sits two levels down: a product inside SolarWinds, which is inside a private-equity portfolio.
None of that is inherently bad. For a team already on SolarWinds Observability, tighter integration between monitoring and incident response is a plausible upside, and Turn/River has said it intends to invest in the platform. But it introduces the roadmap and pricing uncertainty that follows any acquisition, doubled here by the rebrand and the private-equity ownership, whose priorities are financial as much as product. Squadcast's transparent pricing and free-stakeholder model are the things customers most value, and they are exactly the sort of terms that get revisited under new owners. PagerDuty, by contrast, is an independent company whose entire roadmap points at incident operations. If you are committing for several years, ask SolarWinds for explicit pricing and roadmap guarantees before you sign.
## Where each platform fits
Because these two compete directly on the same job, the fit questions come down to budget, scale, and appetite for the ownership question.
Reach for PagerDuty when you need the deepest escalation logic, the most sophisticated ML noise reduction at extreme event volume, a GA AI agent with an MCP server, or FedRAMP and HIPAA on the checklist, and when you can absorb the add-on pricing that comes with all of it. It is the safer choice for the largest and most regulated operations.
Reach for Squadcast when the PagerDuty quote is the problem. Its on-call depth is close to parity, its noise reduction is production-proven, its free-stakeholder model gives a whole org visibility cheaply, and it offers on-premise deployment PagerDuty does not. Weigh that against a thinner AI story, no MCP server, and a roadmap now steered by SolarWinds under private-equity ownership.
The boundary they share stays in view for both. Whichever you pick, you are buying the response layer, the AI in each is only as good as the telemetry your other tools expose, and the total cost always carries a monitoring platform neither one replaces.
## Final thoughts
This is one of the closest matchups in the category, which makes the trade-offs easier to define. **PagerDuty charges more for deeper routing, broader enterprise capabilities, and a stronger machine intelligence layer.** Squadcast comes in at a lower price while covering most of the core on-call workflows, but its AI story is less developed and its future direction under SolarWinds is still taking shape.
That makes Squadcast especially appealing if **PagerDuty's renewal cost is what pushed you to start comparing alternatives**. You keep most of the on-call fundamentals while cutting spend, as long as you are comfortable with the uncertainty that comes with its new ownership.
There is also a limitation that applies to both platforms. **When the page fires, you still need to open a separate observability tool to understand what actually broke.** That means another product, another bill, and another jump between the alert and the telemetry behind it.
So the deeper question is not only whether PagerDuty or Squadcast gives you the better price-to-feature balance. It is **whether incident response and observability should be separate products, and separate invoices, in the first place**.
[summary]
### One assistant, the whole stack
PagerDuty exposes its operational data over MCP, and Squadcast has no MCP server at all, so an AI assistant working either one still stops at the alert and reaches elsewhere for the data. Better Stack's MCP server spans both sides: Claude or Cursor can query your logs with SQL, check who is on call, acknowledge an incident, and build a dashboard chart in one conversation, because the observability and the incident workflow are the same platform.
**One MCP endpoint over the whole stack lets the assistant read the evidence and run the response from the same place.** [Try Better Stack](https://betterstack.com).
[/summary]