Better Stack vs Squadcast: A Complete Comparison for 2026
Squadcast joined SolarWinds in March 2025. If you're evaluating it as a PagerDuty alternative, that acquisition matters: it adds enterprise distribution, cloud marketplace access, and a potential integration path with SolarWinds' observability stack, but it also introduces the roadmap uncertainty that follows any acquisition. Product priorities shift. Pricing structures get revisited.
Better Stack, meanwhile, has been expanding in the opposite direction: from log management into full-stack observability, adding traces, RUM, and error tracking to the same data warehouse that powers its incident management. The two platforms no longer occupy the same category. Squadcast is a pure incident response layer that expects you to bring your own observability. Better Stack is a unified observability platform with incident management built in.
That architectural difference determines almost everything else about how the two tools behave, what they cost in full, and which one fits your team's situation.
This comparison works through both platforms honestly, including where Squadcast's on-call depth and noise reduction genuinely outperform Better Stack's, and where Better Stack's unified telemetry changes the incident response experience in ways a standalone on-call tool can't replicate.## Quick comparison at a glance.
| Category | Better Stack | Squadcast |
|---|---|---|
| Platform type | Full-stack observability + incident management | Incident management + on-call only |
| Observability | Logs, metrics, traces, RUM, error tracking | None (integrates with external tools) |
| Instrumentation | eBPF zero-code collector | No data collection |
| On-call scheduling | Built-in | Core product |
| Pricing model | Data volume + responders | Per user/responder per month |
| AI capabilities | AI SRE, MCP server (GA) | Reliability AI (on-call focus) |
| Status pages | Included | Included (Incident Response module) |
| Postmortems | Automatic generation | Automated timeline capture |
| Enterprise ready | SOC 2 Type II, GDPR, SSO, SCIM, RBAC | SOC 2, GDPR, SSO, SCIM, RBAC |
| Parent company | Standalone | SolarWinds (NYSE: SWI) |
Platform architecture
The fundamental difference between these two tools is scope. Better Stack is built around a single data warehouse that holds logs, metrics, traces, and front-end telemetry, with incident management layered on top of that shared context. When an alert fires, you already have the surrounding data in the same interface. Squadcast is a pure incident response layer: it receives alerts from whatever monitoring stack you run, routes them to the right people, and manages the response workflow. The observability data lives somewhere else.
Neither approach is wrong. The right one depends on whether you're starting fresh or already locked into an observability vendor.
Better Stack: one data layer, everything connected
Better Stack's architecture is built on three interlocking pieces: an eBPF-based collector that captures logs, metrics, and traces without touching application code; a unified data warehouse that makes everything queryable with SQL or PromQL; and an incident management layer that fires alerts with full telemetry context attached.
Watch how Better Stack's collector automatically discovers services and begins capturing telemetry without code changes:
Because telemetry and incidents share one storage layer, your on-call engineer sees the logs, metrics, and traces that correspond to a firing alert without pivoting between tools. Is your team currently copying log snippets from one tab into an incident channel in another? That's the friction Better Stack eliminates.
Integrations: Better Stack connects natively to 100+ sources covering all major stacks: MCP, OpenTelemetry, Vector, Prometheus, Kubernetes, Docker, PostgreSQL, MySQL, Redis, MongoDB, Nginx, and more.
Squadcast: incident layer on top of your existing stack
Squadcast's architecture is intentionally narrow. It receives alerts from monitoring tools (Datadog, New Relic, Prometheus, Grafana, AppSignal, Nagios, and 100+ more), deduplicates and correlates them using its Event Intelligence engine, then routes the right signal to the right on-call engineer through schedules, escalation policies, and notification channels.
The platform does not collect telemetry of its own. When an incident fires, your engineer sees the alert payload from the source tool. If they need logs or traces, they navigate to Datadog, Grafana, or whichever observability platform your team uses. How many minutes does that handoff cost during an active incident, multiplied by every incident your team handles this year? Squadcast's integrations list covers monitoring, IT service management, and ChatOps categories, but there is no native data collection layer.
This isn't a weakness if your team already has an observability stack you're satisfied with. It becomes a gap if you're evaluating the total cost and workflow of both observability and incident response together.
| Architecture aspect | Better Stack | Squadcast |
|---|---|---|
| Data collection | eBPF collector (zero code) | None (alert receiver only) |
| Storage | Unified warehouse (logs, metrics, traces) | Alert metadata only |
| Query language | SQL + PromQL | N/A |
| Context at alert time | Full telemetry in one view | Alert payload from source tool |
| Data ownership | Optional self-hosted S3 | SaaS-only |
| Category | Observability + incident management | Incident management only |
Pricing comparison
These platforms price completely differently, which makes direct comparison tricky but important.
Better Stack charges based on data volume (per GB ingested and stored) plus a per-responder fee for on-call. Squadcast charges per user per month, on a tiered plan basis. If you're evaluating either platform purely as an incident management tool, the comparison narrows: you're looking at Better Stack's responder fee versus Squadcast's per-user plan.
Better Stack: volume-based with responders included
Better Stack's pricing separates observability from incident management in a way that scales predictably.
Pricing structure:
- Logs: $0.10/GB ingestion + $0.05/GB/month retention
- Traces: $0.10/GB ingestion + $0.05/GB/month retention
- Metrics: $0.50/GB/month
- Error tracking: $0.000050 per exception
- Responders (on-call): $29/month each (unlimited phone/SMS included)
- Monitors: $0.21/month each
5-responder on-call example (incident management only): $145/month for 5 responders with unlimited phone and SMS alerts. Add observability and costs scale with actual data volume with no cardinality penalties, no high-water mark billing, and no indexing fees.
There are no plan tiers to navigate. Feature access doesn't change by tier because there are no tiers for responders; you pay per responder and get the full incident management feature set. Status pages, postmortems, Slack-native incident channels, escalation policies, AI SRE, and the MCP server are all included.
Squadcast: per-user tiered plans
Squadcast has 3 pricing editions, from $9 to $21 per user per month, with a free plan available for small teams. The published tier structure is:
- Free: On-call and incident management for small teams, limited notifications
- Pro: $9/user/month (annual), modern on-call and incident response
- Premium: $16/user/month (annual), rapid and secure incident management, up to 10 free stakeholders
- Enterprise: $21/user/month, full reliability orchestration, unlimited stakeholders, on-premise option available
One G2 reviewer specifically highlighted the Enterprise plan at $21 per user per month with no minimum commitment as a flexible and transparent solution.
Advanced features like SLO tracking, incident analytics, runbooks, and Reliability AI are available on higher tiers. The free stakeholder model (view-only users who receive incident updates without paying a full user license) is a genuine differentiator that customers consistently mention as a reason to choose Squadcast over PagerDuty. One large team of 150 engineers described using Squadcast's unlimited free stakeholder licenses alongside custom bulk pricing for responders, giving the entire engineering organization visibility into incidents without requiring everyone to hold a paid on-call seat.
Squadcast also supports on-premise deployment on the Enterprise plan, which Better Stack does not currently offer. For regulated industries or teams operating air-gapped environments, this is a material distinction.
What are the notification limits that matter most to your team? On lower Squadcast tiers, monthly SMS and voice call budgets are calculated per user and can run dry during high-volume incident periods. Unlimited phone and SMS is reserved for the Enterprise plan, while Better Stack includes unlimited phone and SMS delivery at the flat $29/responder rate regardless of volume.
5-responder comparison at parity feature set:
| Better Stack | Squadcast Pro | Squadcast Enterprise | |
|---|---|---|---|
| 5 responders/users | $145/month | $45/month (annual) | $105/month (annual) |
| Phone/SMS alerts | Unlimited | Limited by plan | Unlimited |
| Observability included | Yes (volume-based) | No | No |
| Status pages | Included | Included | Included |
| Postmortems | Included | Included | Included |
The honest picture: If you're comparing the two platforms purely as incident management tools, Squadcast Pro is significantly cheaper per seat. Better Stack's responder fee is higher, but it includes unlimited phone/SMS without the notification caps that appear on Squadcast's lower plans, and it bundles into a platform that also handles your observability. Are you currently running a separate observability bill alongside your on-call tool? If so, Better Stack's total cost often comes out ahead once you add the two invoices together.
3-year TCO: full-stack scenario (10 responders, 100 hosts)
| Category | Better Stack | Squadcast + Datadog |
|---|---|---|
| Incident management (3 years) | $10,440 | $3,780 (Squadcast Pro) |
| Observability platform | $85,000 (volume-based est.) | $305,000+ (Datadog est.) |
| Status pages | Included | Included |
| AI/MCP features | Included | Included / Datadog add-on |
| Total | ~$95,440 | ~$308,780+ |
The numbers shift significantly depending on data volume and Datadog tier. The point is that evaluating Squadcast's pricing without accounting for the observability stack you still need to pay for elsewhere gives an incomplete picture.
Unified incident management
Squadcast's core strength is incident response workflow: alert routing, on-call scheduling, escalation policies, deduplication, and collaboration. Better Stack covers the same ground but with the advantage of shared telemetry context that Squadcast can't offer on its own.
Better Stack: incident management with full observability context
Better Stack's incident management routes alerts into on-call schedules with full log, metric, and trace context attached to each incident. Your on-call engineer doesn't have to go looking for the relevant telemetry; it's already on the incident card.
Here's an overview of how the full incident lifecycle works:
Incidents are also managed natively inside Slack, where most response work actually happens:
On-call scheduling includes timezone-aware rotations and automatic handoffs:
Post-incident learning is built into the workflow, with automatic postmortem generation from incident timelines:
Squadcast: incident response as the primary product
Squadcast's incident management is the product, not a module. That focus shows in the breadth of workflow features.
Event Intelligence applies deduplication, tagging, and suppression rules before alerts reach on-call engineers. Teams at Redis reported reducing incoming alerts from tens of thousands to hundreds using Squadcast's deduplication mechanism, which eliminated significant alert fatigue. Auto Pause Transient Alerts (APTA) automatically holds notifications for alerts that typically self-resolve within a short window, preventing unnecessary wake-ups.
Schedules and escalations support multi-tier policies with time-based rules and override capabilities. Live Call Routing connects users directly to the on-call engineer via phone, without requiring the caller to know who's on duty.
Runbooks are executable directly from the incident interface, allowing engineers to trigger automated remediation steps without switching tools. Squadcast's runbooks are a more developed feature than in many competing platforms and reviewers consistently highlight them.
Noise reduction is where Squadcast has genuine depth that Better Stack's incident management doesn't fully match. The intelligent deduplication and suppression engine, built specifically for high-volume alert environments, is the product's core differentiator.
Collaboration happens through bi-directional Slack and Microsoft Teams integrations, dedicated incident channels, and stakeholder subscription so non-responders stay informed without being paged. Discord and Google Chat are also supported.
| Incident management feature | Better Stack | Squadcast |
|---|---|---|
| On-call scheduling | Built-in, timezone-aware | Core feature, multi-tier |
| Escalation policies | Multi-tier, advanced | Multi-tier, advanced |
| Phone/SMS alerts | Unlimited ($29/responder) | Plan-dependent; unlimited on Enterprise |
| Slack/Teams native | Yes | Yes, bi-directional |
| Alert deduplication | Yes | Advanced (core strength) |
| Noise reduction/APTA | Basic | Advanced (APTA, suppression rules) |
| Runbooks | Yes | Advanced, executable |
| Live call routing | No | Yes |
| Postmortems | Automatic generation | Automated timeline |
| Telemetry context | Full (logs, metrics, traces) | Alert payload from source tool |
| Stakeholder licenses | Unlimited (view-only) | Up to 10 free on Premium, unlimited on Enterprise |
Reliability AI and automation
Both platforms are investing in AI-driven incident response, though the scope differs significantly: Better Stack's AI SRE operates across a full observability dataset, while Squadcast's Reliability AI focuses on the alert-routing and incident-correlation layer.
Better Stack: AI SRE with full telemetry access
Better Stack's AI SRE activates automatically during incidents. Rather than waiting for you to ask questions, it analyzes the service map, queries logs, checks recent deployments, and surfaces likely root causes before you've typed a single prompt.
Because the AI SRE has access to your full observability dataset (logs, metrics, traces, error events), the hypotheses it generates are grounded in actual telemetry, not just the alert metadata. That's the key difference: an AI that can read your logs and trace the request path produces qualitatively different output than one that can only see the alert payload.
The Better Stack MCP server extends this further, allowing Claude, Cursor, or any MCP-compatible AI client to query your observability data directly. Ask it to find HTTP 500 errors in the past hour, check who's on-call, or build a dashboard showing error rates by service, and it executes against real data.
The MCP server is generally available to all customers. Setup is one configuration block:
Squadcast: Reliability AI for alert intelligence
Squadcast's Reliability AI is focused on the incident-response workflow rather than root cause analysis across telemetry. It applies machine learning to the alert stream to improve deduplication, identify patterns across recurring incidents, and reduce noise before alerts reach on-call engineers.
SolarWinds introduced new AI-powered features across its ITSM, database, and SaaS observability platforms in 2024, and the Squadcast acquisition is intended to extend that AI focus into incident response.
Reliability AI within Squadcast covers alert correlation (grouping related alerts into single incidents), suppression suggestions based on historical patterns, and workflow automation recommendations. What it cannot do is analyze your log corpus, trace a distributed request, or correlate an alert with the specific deployment that caused it. That data doesn't live in Squadcast; it lives in whatever observability platform you've connected.
| AI capability | Better Stack | Squadcast |
|---|---|---|
| AI SRE | Yes (autonomous, full telemetry access) | Alert-correlation focused |
| MCP server | Yes (GA, all customers) | No |
| Root cause analysis | Yes (logs, metrics, traces) | Alert payload only |
| AI coding integration | Claude Code + Cursor via MCP | No |
| Alert correlation/deduplication | Yes | Advanced (core strength) |
| Workflow AI | Yes | Yes (automation recommendations) |
On-call management
This is where Squadcast most directly competes with Better Stack, and where Squadcast's specialization shows most clearly.
Better Stack: on-call as part of the observability platform
Better Stack's on-call functionality is purpose-built but sits within a broader platform. Rotation management, escalation policies, and timezone-aware scheduling are all present. The differentiating factor is that on-call engineers receive alerts with full context: clicking an incident opens not just the alert message but the correlated logs, relevant metrics, and recent traces.
Advanced escalation flows for enterprise use cases:
Squadcast: on-call as the core business
Squadcast has been building on-call workflows since its founding. The depth shows in features that Better Stack doesn't currently match: Live Call Routing connects external callers to whoever is on-call at that moment, APTA prevents unnecessary pages for transient alerts, and the mobile app provides full incident response capabilities for engineers working away from a desk.
The on-call workload analytics built into Squadcast's Incident Analytics module track alert distribution across team members, helping engineering managers identify burnout risk before it becomes attrition. Customers such as Redis have reported reducing incoming alerts from tens of thousands to hundreds through Squadcast's deduplication capability.
Schedules support multiple rotation patterns (follow-the-sun, weekly, custom), and override management handles last-minute coverage changes cleanly. The mobile app receives consistently positive reviews for reliability and notification delivery speed.
If you're migrating from PagerDuty or OpsGenie and want feature parity on scheduling depth and notification reliability, Squadcast is a more direct replacement than Better Stack.
| On-call feature | Better Stack | Squadcast |
|---|---|---|
| Rotation scheduling | Yes | Yes, advanced |
| Escalation policies | Multi-tier | Multi-tier, advanced |
| Live call routing | No | Yes |
| APTA / transient alert suppression | Basic | Yes (advanced) |
| Mobile app | Yes | Yes (highly rated) |
| Workload analytics | Basic | Yes (dedicated module) |
| Alert context at page time | Full telemetry | Alert payload from source tool |
| Stakeholder access | Unlimited view-only | Plan-dependent |
Log management and observability
Squadcast doesn't collect logs. This isn't a criticism; it's a deliberate product scope decision. But it's the most consequential difference for teams evaluating these two platforms together, so it deserves direct treatment.
Better Stack: all logs searchable, no indexing decisions
Better Stack logs ingests structured and unstructured log data and makes 100% of it immediately searchable without requiring you to decide in advance which logs matter. No indexing tier. No rehydration delays. No choosing between "cheap but unsearchable" and "expensive but available."
Watch how Live Tail provides real-time log streaming with powerful filtering:
Query syntax is SQL, which most engineers already know. You can write:
And the same query powers both live investigation and dashboard charts. Save common queries as presets for fast access during incidents:
Pricing: $0.10/GB ingestion + $0.05/GB/month retention. A service producing 100GB monthly costs $15 total. No surprises.
Squadcast: no logs, by design
Squadcast receives alert payloads from your log management tool (Kibana, Loggly, Datadog Logs, or whatever else you're running). The alert arrives with whatever context that tool sends in its webhook body. Squadcast routes it, deduplicates it, and notifies the right engineer. The logs themselves remain in the originating system.
This architecture works well when your team has a log management tool they trust and the investigation workflow across two products is acceptable. It breaks down during incidents where context switching costs real resolution time. How fast can your team answer "which specific log line triggered this alert, and what were the 50 log lines immediately before it?" When logs live in one product and incidents in another, that question requires at least one product switch and usually a manual search.
For teams migrating off a log management vendor that charges per indexed event, Better Stack's flat per-GB model often produces meaningful savings in addition to consolidating the stack.
| Log management aspect | Better Stack | Squadcast |
|---|---|---|
| Log collection | Yes (eBPF + Vector + OTel) | No |
| Log searchability | 100% of ingested logs | N/A |
| Query language | SQL + PromQL | N/A |
| Correlation to incidents | Automatic (same platform) | Alert payload only |
| Pricing | $0.10/GB ingestion | N/A (use existing tool) |
Application performance monitoring and distributed tracing
Squadcast has no APM or tracing capability. This is a deliberate scope decision, not a gap the product pretends to fill. Better Stack's APM is worth covering here because it represents a meaningful portion of the total observability cost that teams evaluating both platforms need to account for when calculating what "switching to Squadcast" actually costs in full.
Better Stack: eBPF-based APM with zero instrumentation
Better Stack's APM captures distributed traces at the kernel level using eBPF. Deploy the collector to Kubernetes and HTTP/gRPC traffic between services is captured immediately, including database queries to PostgreSQL, MySQL, Redis, and MongoDB, without SDK installation or per-service configuration.
Frontend-to-backend correlation connects browser session data with backend traces. When a page load is slow, you trace it from the frontend request through your microservices and database calls in one view, without product switching.
OpenTelemetry-native, zero lock-in. Traces are stored in OTel format. If you want to send traces to a different backend tomorrow, you change one configuration line. How much would it cost your team to migrate away from a proprietary tracing agent today? That migration tax accumulates every month with vendor-proprietary formats. Better Stack avoids it entirely.
Squadcast: no APM, bring your own
Squadcast integrates with APM tools as alert sources. An alert from New Relic APM, Datadog, or AppDynamics arrives in Squadcast and routes to on-call engineers through the normal escalation path. The trace data remains in the originating tool.
Teams calculating the full cost of switching to Squadcast should factor in their existing APM bill. For teams on Datadog APM (typically $31-40/host/month additional on top of infrastructure fees), the math of replacing Datadog entirely with Better Stack often produces a more compelling case than replacing only the on-call layer with Squadcast.
| APM/tracing feature | Better Stack | Squadcast |
|---|---|---|
| Distributed tracing | Yes (eBPF, zero code) | No (alert source integration only) |
| Frontend-to-backend correlation | Yes, unified view | No |
| OpenTelemetry native | Yes | N/A |
| Database tracing | Automatic | N/A |
| Pricing | $0.10/GB ingestion | N/A (use existing APM) |
SLO and error budgets
Both platforms address SLOs and service health, but again from different vantage points.
Better Stack
Better Stack's SLO monitoring is tied to the underlying telemetry. You define error budgets against actual logs, metrics, or uptime data, and alerts fire when budgets are at risk. Because the same SQL-queryable data warehouse powers both the observability layer and the SLO calculation, error budget burn rates reflect real data rather than estimated thresholds.
Squadcast: SLO and error budget tracking
Squadcast's SLO and Error Budget module tracks Service Level Indicators against configured objectives and surfaces SLO breach alerts through the same on-call routing as other incidents. This is a workflow integration rather than a telemetry-native calculation: SLIs are defined against metrics from connected monitoring tools, and Squadcast tracks the objective compliance and budget burn.
Service Health provides a service catalog view showing which services have active incidents, their current SLO status, and relevant reliability metrics over time. This is particularly useful for engineering managers who need a cross-service view without diving into individual dashboards.
| SLO/reliability feature | Better Stack | Squadcast |
|---|---|---|
| SLO tracking | Yes, against native telemetry | Yes, against connected monitoring |
| Error budget alerts | Yes | Yes |
| Service catalog/health view | Yes | Yes (dedicated module) |
| Reliability insights/analytics | Yes | Yes (Incident Analytics module) |
Workflows and automation
Better Stack
Better Stack's automation surface includes alert routing, escalation policies, webhook integrations, and monitor-driven actions. The MCP server significantly expands what's possible: your AI assistant can acknowledge incidents, check who's on-call, and create dashboard charts through natural language, all against live data.
Squadcast: workflows as a first-class product
Squadcast's Workflows module is one of its most developed features, and it addresses something that many incident management platforms leave entirely to the user: automating repetitive incident response tasks.
Workflows trigger on incident lifecycle events (created, acknowledged, resolved, reassigned) and can execute actions across connected tools. Examples include: automatically creating a Jira ticket when a P1 incident is declared; sending a templated Slack message to a customer success channel when a user-facing service goes down; running a diagnostic runbook when specific alert patterns are detected; and updating a ServiceNow record when an incident is resolved.
The workflow builder uses a visual interface rather than code, which lowers the barrier for teams without dedicated SRE resources. Squadcast's bidirectional ServiceNow integration is highlighted as a featured integration, reflecting the enterprise market they're increasingly targeting after the SolarWinds acquisition. Which incident management tasks does your team execute the same way, every single time, that could be automated if someone could spare an afternoon to set it up?
How much time does your on-call team spend on manual coordination tasks that happen the same way every time an incident fires? That's the problem Squadcast Workflows is designed to eliminate.
| Workflow/automation feature | Better Stack | Squadcast |
|---|---|---|
| Alert routing automation | Yes | Yes |
| Incident lifecycle triggers | Yes | Yes (advanced) |
| Visual workflow builder | No | Yes |
| ITSM integrations (Jira, ServiceNow) | Via webhooks | Native, bidirectional |
| MCP/AI automation | Yes (via MCP server) | No |
Status pages and customer communication
Better Stack: built-in and multi-channel
Better Stack Status Pages syncs automatically with the incident management layer. When an incident is declared, the status page updates. When it's resolved, the page reflects that immediately.
Subscriber notifications go out via email, SMS, Slack, and webhook. Password protection, SAML SSO gating, custom domains, and custom CSS are all available. Pricing is $12-208/month for advanced features, included with the platform at no additional platform cost.
Squadcast: status pages in the incident response module
Squadcast includes status pages as part of its Incident Response product area. Public and internal status pages are available, with component-level status tracking, scheduled maintenance windows, and email subscriber notifications. The integration with Squadcast's incident management means status page updates can be triggered automatically from incident actions.
What Squadcast's status pages don't offer (relative to Better Stack) is multi-channel subscriber notification. Email is the primary outbound channel; SMS and Slack notifications to external subscribers aren't part of the current product. For teams whose stakeholders expect text message updates during outages, that's a meaningful gap.
| Status page feature | Better Stack | Squadcast |
|---|---|---|
| Availability | Included | Included (Incident Response module) |
| Auto-sync with incidents | Yes | Yes |
| Subscriber channels | Email, SMS, Slack, webhook | |
| Custom domain | Yes | Yes |
| Private/SSO-gated pages | Yes | Yes |
| Pricing | $12-208/month (transparent) | Included in plan |
Postmortems and continuous learning
Better Stack
Better Stack generates postmortems automatically from incident timelines. The structured output captures timeline, contributing services, responders involved, and links to relevant log queries and trace data from the incident window.
Squadcast: past incidents and continuous learning
Squadcast's Postmortems module captures the automated incident timeline and provides a structured template for collaborative post-incident analysis. The Continuous Learning section stores past incident data for pattern recognition: if the same service fails repeatedly in the same way, Squadcast's historical incident data helps identify that pattern.
The Incident Analytics and Reliability Insights module goes further, surfacing MTTR trends by team and service, alert volume patterns over time, and on-call workload distribution. This analytical layer is specifically useful for engineering leaders making reliability investment decisions, not just the engineers responding to incidents. Do you know which service generates 80% of your on-call pages? Squadcast's analytics module is designed to answer that question with data.
Enterprise readiness
Better Stack enterprise capabilities
Better Stack covers the compliance and access control requirements that most enterprise procurement processes expect: SOC 2 Type II, GDPR, SSO via Okta/Azure/Google, SCIM provisioning, RBAC, audit logs, and data residency options (EU + US regions, optional self-hosted S3). Enterprise customers receive a dedicated Slack support channel and a named account manager.
Squadcast enterprise capabilities
Squadcast is now part of SolarWinds, a global leader in hybrid IT observability, which adds enterprise credibility and sales infrastructure to what was previously an independent startup. Squadcast's Enterprise plan includes SSO, SCIM, RBAC, audit logs, and an on-premise deployment option that Better Stack does not currently offer.
Squadcast solutions are available on both the AWS Marketplace and Microsoft Azure Marketplace, which simplifies procurement for enterprise customers already managing spend through cloud provider marketplaces.
The SolarWinds acquisition brings a larger support organization and the possibility of deeper integration with SolarWinds' observability platform over time. What it also brings is acquisition integration risk: product roadmaps shift after acquisitions, and enterprise customers evaluating Squadcast should factor in the uncertainty of how the product evolves under SolarWinds ownership. Does your organization's procurement process include a question about vendor stability? If so, the answers from Squadcast today look different than they did twelve months ago.
| Enterprise feature | Better Stack | Squadcast |
|---|---|---|
| SOC 2 Type II | ✓ | ✓ |
| GDPR | ✓ | ✓ |
| SSO (SAML/OIDC) | ✓ | ✓ |
| SCIM provisioning | ✓ | ✓ |
| RBAC | ✓ | ✓ |
| Audit logs | ✓ | ✓ |
| Data residency | EU + US, optional S3 | SaaS + on-premise option |
| On-premise deployment | No | Yes (Enterprise plan) |
| Marketplace availability | No | AWS, Azure |
| Dedicated support channel | Slack + named account manager | Enterprise support tier |
| SLA | Enterprise SLA available | Enterprise SLA available |
| Parent company | Standalone | SolarWinds (NYSE: SWI) |
Integrations and deployment
Better Stack
Better Stack deploys via a single Helm chart for Kubernetes environments. The eBPF collector runs as a DaemonSet and automatically discovers services without requiring per-service SDK installation. For teams already using OpenTelemetry, Vector, or Prometheus, Better Stack accepts data from those pipelines natively.
If you're already running OpenTelemetry:
Squadcast: broad alert source integrations
Squadcast's integration surface is purpose-built for receiving alerts from other tools rather than collecting telemetry directly. Its monitoring integrations cover AppSignal, Datadog, New Relic, Grafana, Prometheus, Nagios, Komodor, Sematext, Kibana, and many more. ITSM integrations include ServiceNow (bidirectional), Jira, Freshdesk, Freshservice, and others. ChatOps coverage includes Slack, Microsoft Teams, Discord, Google Chat, and Telegram.
Squadcast integrates with 100+ tools and supports a Public API and webhooks for custom integrations. Terraform provider support is available for infrastructure-as-code deployments.
The integration breadth is genuinely strong for an incident management platform. Where it differs from Better Stack is that all of these connections are inbound alert sources or outbound notification channels; none of them give Squadcast visibility into the actual telemetry data those tools are collecting.
| Integration aspect | Better Stack | Squadcast |
|---|---|---|
| Data collection | Native eBPF collector | Alert ingestion from 100+ tools |
| Monitoring integrations | 100+ covering all major stacks | 100+ alert source integrations |
| ChatOps | Slack, Teams | Slack, Teams, Discord, Google Chat, Telegram |
| ITSM | Via webhooks | Native (ServiceNow, Jira, Freshdesk) |
| Terraform | Yes | Yes |
| Public API | Yes | Yes |
| Marketplace | No | AWS, Azure |
User experience
Better Stack
A single interface covers logs, metrics, traces, and incidents. Query syntax is consistent across all data types (SQL or PromQL). When an alert fires, the investigation starts with telemetry context already visible; there's no secondary lookup required to find relevant logs. You can customize the Live Tail experience to match common query patterns:
Squadcast
Squadcast's interface is narrower by design, which makes it faster to navigate for pure incident management tasks. The dashboard shows active incidents, on-call schedules, and SLO status without the observability complexity of a full telemetry platform. G2 reviewers consistently cite ease of use and clean interface as strengths. The mobile app receives specific praise for notification reliability, which matters more than most vendors acknowledge: an on-call platform that doesn't reliably wake people up is not doing its job.
The trade-off is that investigation requires leaving Squadcast. When an alert fires, your engineer clicks through to Datadog, Grafana, or another tool to find the relevant telemetry. If that handoff is seamless for your team, the Squadcast UX is excellent. If that handoff is where investigation time gets lost, Better Stack's unified interface addresses the root cause.
| UX aspect | Better Stack | Squadcast |
|---|---|---|
| Interface scope | Full observability + incidents | Incident management focused |
| Investigation flow | Telemetry in same view | Navigate to external tool |
| Mobile app | Yes | Yes (highly rated) |
| Onboarding time | Hours (unified concept) | Hours (focused scope) |
| G2 sentiment | Strong | Strong (4.6/5) |
The structure is good but the opening two sentences are the same move as the Datadog article ("which platform should you choose... depends on two things"). And the "Choose Squadcast if:" block mirrors the "Choose Better Stack if/Choose Datadog if" pattern from the reference. Here's a rewrite that keeps the substance but breaks the skeleton:
Final thoughts
The core question isn't which platform is better. It's whether your team needs to consolidate or layer.
If you're currently running a separate observability stack and a separate on-call tool, you're paying two invoices for a workflow that breaks every time an engineer has to switch products mid-incident. Better Stack collapses those two bills into one platform, with the eBPF collector handling instrumentation overhead that usually makes unified observability expensive to set up.
The AI SRE has access to actual logs and trace data, not just alert metadata, which produces meaningfully different root cause suggestions than alert-correlation AI. The MCP server, generally available to all customers, lets Claude, Cursor, and other AI assistants query your observability data directly. Volume-based pricing scales without cardinality penalties, span indexing fees, or high-water mark surprises.
Squadcast is the right answer if your observability stack is already settled. Its alert deduplication is production-tested at scale: Redis reduced incoming alerts from tens of thousands to hundreds using it. Live Call Routing, executable runbooks, the visual workflow builder, and the advanced suppression engine are more developed than what Better Stack offers in its incident management module alone. The unlimited free stakeholder license model is a genuine differentiator for large organizations where visibility matters but not everyone needs to be in the rotation.
One thing worth naming directly: Squadcast is now a SolarWinds product. The acquisition brings enterprise distribution and marketplace access. It also means the product roadmap is no longer solely the founding team's decision. Teams evaluating multi-year commitments should ask for explicit roadmap guarantees before signing.
Ready to see Better Stack in action? Start your free trial and have logs, metrics, and on-call routing running the same afternoon.
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