# Better Stack vs SolarWinds Papertrail: A Complete Comparison for 2026
SolarWinds Papertrail earned its reputation for a reason. It has long been the go-to tool for developers who need a **fast, no-friction way to centralize and tail logs** from Heroku, VMs, and syslog sources. If your needs stop at **log aggregation and simple alerting**, Papertrail delivers quickly and reliably.
The limitation shows up during incidents. **Logs alone rarely explain what went wrong.** You need **traces to follow requests, metrics to understand system health, and on-call routing to respond in real time**. In the SolarWinds ecosystem, that means combining multiple products, often with **separate interfaces, pricing models, and operational overhead**.
**Better Stack takes a different approach.** It brings **logs, metrics, traces, error tracking, real user monitoring, on-call scheduling, AI-assisted investigation, and status pages into one platform**, covering the full incident lifecycle without stitching tools together.
There is also a timing factor. **AppOptics, SolarWinds’ APM offering, reached end of life in January 2026**, forcing teams that relied on it to reconsider their stack.
This comparison looks at both platforms honestly. **Papertrail remains a simple and effective logging tool**, but **Better Stack offers a broader, more complete solution for modern observability and incident response**.
## Quick comparison at a glance
| Category | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Core scope** | Logs, metrics, traces, RUM, errors, incidents, status pages | Logs only |
| **APM / tracing** | eBPF auto-instrumentation, zero code changes | None (AppOptics EOL Jan 2026) |
| **Infrastructure metrics** | Built in, PromQL native | Not included |
| **Incident management** | Built in ($29/responder/month) | Requires PagerDuty or OpsGenie |
| **Status pages** | Built in | Not included |
| **Error tracking** | Built in | Not included |
| **Real user monitoring** | Built in | Not included |
| **AI SRE** | Yes (autonomous incident investigation) | None |
| **MCP server** | Yes (GA, all customers) | None |
| **Log retention (searchable)** | Configurable, all logs immediately searchable | 7 days on most plans; archives to S3 but not live-searchable |
| **Query language** | SQL + PromQL | Regex / keyword search |
| **Pricing model** | Volume-based (GB ingested + GB stored) | Volume-based (GB/month + retention tier) |
| **OpenTelemetry** | Native, first-class | Not supported |
| **Integrations** | 100+ covering all major stacks: MCP, OpenTelemetry, Vector, Prometheus, Kubernetes, Docker, PostgreSQL, MySQL, Redis, MongoDB, Nginx, and more | ~50 integrations, primarily alerting webhooks |
| **Enterprise: SSO, SCIM, RBAC, audit logs** | All included | Limited (SSO on enterprise tier only) |
---
## Platform scope
The most fundamental thing to understand about this comparison is that Better Stack and Papertrail are not the same category of product. Papertrail is a log management service. Better Stack is a full-stack observability platform. That distinction isn't a marketing distinction: it determines what you can and cannot do when something breaks.
### Better Stack: observability as one platform
Better Stack unifies logs, metrics, distributed traces, real user monitoring, error tracking, incident management, and status pages under a single data model and interface. One collector deployment. One query language. One billing model. When an alert fires, you don't have to decide which product to open first.
The eBPF-based collector operates at the kernel level. Deploy it to Kubernetes via Helm chart and it automatically discovers running services, captures HTTP/gRPC traffic between them, instruments database calls (PostgreSQL, MySQL, Redis, MongoDB), and starts building distributed traces. No application code changes, no SDK installations, no per-service configuration. Watch how the collector auto-discovers services and begins collecting telemetry immediately after deployment:
All telemetry (logs, metrics, traces) lands in a single data warehouse. Query it with SQL or PromQL from one interface. When an alert fires, the relevant service map, log lines, metric anomalies, and trace examples are visible together without navigating between products or switching query languages.
### SolarWinds Papertrail: purpose-built log management
Papertrail's value proposition has always been simplicity. Connect your servers or apps via syslog or HTTPS, and logs aggregate in a centralized viewer within minutes. The live tail is genuinely fast and the search is responsive. For teams that just want to stop SSH-ing into boxes to read `/var/log`, it works well.
What Papertrail doesn't do: metrics, distributed traces, infrastructure monitoring, error tracking, real user monitoring, incident management, status pages, or AI-assisted investigation. Every one of those capabilities requires a separate SolarWinds product or a third-party tool, each with its own pricing, configuration, and interface.
The SolarWinds APM companion product, AppOptics, which was the recommended path for adding traces to a Papertrail deployment, reached end of service life on January 31, 2026. Teams still using that integration need to migrate. The replacement path leads to SolarWinds Observability SaaS, a different product with different pricing, or to a different vendor entirely.
Is your team still assembling an observability stack from independent tools rather than working from a single, integrated platform? That's worth examining, especially when the maintenance cost of keeping disparate products aligned falls on your engineers.
| Scope | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Log management** | ✓ | ✓ |
| **Infrastructure metrics** | ✓ | ✗ |
| **Distributed tracing / APM** | ✓ | ✗ (AppOptics EOL Jan 2026) |
| **Error tracking** | ✓ | ✗ |
| **Real user monitoring** | ✓ | ✗ |
| **Incident management** | ✓ | ✗ (requires PagerDuty / OpsGenie) |
| **Status pages** | ✓ | ✗ |
| **AI SRE** | ✓ | ✗ |
| **MCP server** | ✓ | ✗ |
| **OpenTelemetry native** | ✓ | ✗ |
---
## Pricing comparison
Both platforms charge based on log data volume, which puts them in the same category structurally. But the scope difference (and the compounding cost of tools you have to buy to fill Papertrail's gaps) makes the total cost of ownership comparison very different from a line-item comparison.
### Better Stack: predictable, volume-based
Better Stack charges for data ingested and data stored, regardless of how many hosts you run, how many services you instrument, or how many tag combinations your metrics use. No cardinality penalties, no indexing fees, no high-water mark billing.
**Pricing structure:**
- Logs: $0.10/GB ingestion + $0.05/GB/month retention (all logs immediately searchable, no tiering)
- Traces: $0.10/GB ingestion + $0.05/GB/month retention (no span indexing fees)
- Metrics: $0.50/GB/month (no cardinality surcharges)
- Error tracking: $0.000050 per exception
- Responders: $29/month (unlimited phone/SMS included)
- Monitors: $0.21/month each
**100-host deployment example:** $791/month
- Telemetry (2.5TB/month): $375
- 5 responders: $145
- 100 monitors: $21
- Error tracking (5M exceptions): $250
All telemetry types are included at those rates. The same $791 covers APM, log management, metrics, error tracking, and on-call management. There's no separate SKU for tracing. There's no "APM add-on."
### SolarWinds Papertrail: low entry cost, scope-limited
Papertrail's published pricing starts at $5/GB/month (the current rate from their pricing page) with tiered plans running from $7/month for 1GB per month up to $230/month for 100GB per month. All standard plans include 7 days of searchable retention. Archives are sent to S3, but archived logs require external tooling (Redshift, Athena, Hadoop) to search. They are not live-searchable in the Papertrail interface.
**Published tiers (approximate):**
- Free: 50MB/month, 48-hour retention
- Small: $7/month, 1GB/month, 7-day searchable retention
- Medium: $40/month, 10GB/month, 7-day searchable retention
- Large: $230/month, 100GB/month, 7-day searchable retention
- Enterprise: custom quote, 500GB–5TB+/month, extended retention available
If you exceed your monthly allocation, Papertrail continues ingesting at up to 200% of your plan volume at a rate 30% higher than your base per-GB rate.
**What Papertrail's pricing doesn't include:** APM, infrastructure metrics, incident management, error tracking, status pages, or RUM. Each of those requires a separate SolarWinds product or a third-party tool with its own cost.
**The real cost gap for a team that wants full-stack observability:** A 100-host team using Papertrail for logs ($230/month at the Large tier) and building out the rest of the stack would still need an APM solution (SolarWinds Observability SaaS charges approximately $27.50/service instance/month for application observability), infrastructure monitoring ($12/device/month), and an on-call tool like PagerDuty ($49–83/user/month). For a 5-person on-call rotation, that alone adds $245–415/month before infrastructure monitoring and APM costs are calculated.
### 3-year TCO: 100-host deployment, full-stack observability
| Category | Better Stack | Papertrail + toolchain |
|---|---|---|
| Log management | $33,600 | $8,280 (Papertrail Large × 36) |
| APM / tracing | Included | ~$59,400 (SWO SaaS, 10 service instances × 36) |
| Infrastructure metrics | Included | ~$51,840 (SWO SaaS, 100 devices × 36) |
| Error tracking | $9,000 | Not available in Papertrail ecosystem |
| Incident management | $5,220 | $17,640 (PagerDuty, 5 users × 36) |
| Status pages | Included | Not available |
| **Total** | **~$47,820** | **~$137,160+** |
The Papertrail side of this estimate is conservative and only covers the SolarWinds toolchain. If you price SolarWinds Observability SaaS at full rack rate for all modules, or bring in external error tracking and status page tools, the gap widens further.
---
## Log management
Log management is Papertrail's core strength and the area where the comparison is closest. Both platforms are fast, both aggregate from multiple sources, and both let you stream live. The meaningful differences are in retention model, query depth, and what happens when you need to investigate logs older than a week.
### Better Stack: all logs immediately searchable
[Better Stack logs](https://betterstack.com/logs) stores every ingested log in a single data warehouse and makes it immediately searchable via SQL or PromQL. There is no concept of "indexed" versus "archived" logs. You pay for what you ingest and store; all of it is queryable at the same speed regardless of age.
Watch how Better Stack's Live Tail gives you real-time log streaming with filtering across all your sources:
SQL querying against your logs gives you the kind of flexibility that regex search doesn't. Want to group errors by service, compare average response times across deployments, or join log data with metrics? It's the same syntax:
```sql
SELECT
service_name,
COUNT(*) as error_count,
AVG(duration_ms) as avg_duration
FROM logs
WHERE level = 'error'
AND timestamp > NOW() - INTERVAL '1 hour'
GROUP BY service_name
ORDER BY error_count DESC
```
That query runs against your entire retained log history, not just the last 7 days. Build charts from the same queries:
Save common queries as presets for team-wide use:
**Pricing in practice:** $0.10/GB ingestion + $0.05/GB/month retention. A service producing 100GB monthly costs $10 ingestion + $5 retention = $15. That same 100GB is immediately searchable with no additional indexing step or tiering decision.
### SolarWinds Papertrail: fast search within a 7-day window
Papertrail's live tail and real-time search are genuinely good. Logs stream in near-real time, keyword and regex search is fast, and the interface is clean enough that new users can navigate it without documentation. It excels at quick triage for recent events.
The retention constraint is the central limitation. Standard plans include 7 days of searchable log data. Logs older than 7 days are archived to S3 in compressed text format. Those archives are not searchable within the Papertrail interface: you have to download them and use Redshift, Athena, or a similar external tool to analyze them. Have you ever needed to investigate an incident where the relevant logs were 12 days old? That workflow requires tooling that Papertrail itself doesn't provide.
Extended retention is available on the enterprise tier but requires a custom quote, making it difficult to plan costs in advance.
**Additional constraints:** Papertrail's query model is keyword search and regex. There's no SQL, no aggregation, no way to group results by field values or compute statistics without exporting data. The platform doesn't support OpenTelemetry, so logs collected via OTel pipelines require reformatting before Papertrail can ingest them. Log correlation with traces or metrics isn't available because Papertrail doesn't have trace or metrics storage.
| Log management | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Searchable retention** | Configurable (all retained logs searchable) | 7 days on standard plans |
| **Archive searchability** | All logs live-searchable | Archives require Redshift/Athena externally |
| **Query language** | SQL + PromQL | Keyword / regex search |
| **Aggregation and grouping** | Yes (SQL GROUP BY, COUNT, AVG, etc.) | No |
| **Trace correlation** | Automatic (unified data model) | Not available |
| **OpenTelemetry ingestion** | Native | Not supported |
| **Pricing per 100GB/month** | $15 (ingestion + retention) | $230 (at Large tier) |
---
## Application performance monitoring
This section has a clear answer for 2026: Papertrail no longer has an integrated APM offering. AppOptics reached end of service life on January 31, 2026. Teams that used the Papertrail + AppOptics integration for traces and service maps need to migrate to a replacement.
### Better Stack: eBPF-based APM, zero instrumentation
[Better Stack's APM](https://betterstack.com/tracing) captures distributed traces at the kernel level via eBPF. Deploy the collector to your cluster once and HTTP/gRPC inter-service traffic is traced automatically. Database queries to PostgreSQL, MySQL, Redis, and MongoDB are captured without any configuration. There are no language-specific SDKs to install, no environment variables to set per service, no version management to maintain.
Here's how distributed traces look in practice:
**Frontend-to-backend correlation** connects browser sessions with backend trace data. When a user reports a slow page load, you can follow that request from the frontend through every downstream service and database call in a single view, in the same interface where you're already looking at logs and metrics. There's no product to switch to, no manual trace ID to look up.
**OpenTelemetry-native, no lock-in.** Traces are stored in OTel format from ingestion. Your instrumentation belongs to you: change a configuration line to route data elsewhere, and you've migrated without touching application code. Compare that to proprietary agent-based APM platforms where migration means replacing SDKs in every service. What would it cost your team to migrate away from a proprietary tracing agent if you needed to?
APM is priced the same as logs and metrics: $0.10/GB ingestion + $0.05/GB/month retention. No per-host APM add-on, no span indexing fees, no sampling required to manage cost.
### SolarWinds Papertrail: APM requires an external product
As of January 31, 2026, AppOptics is no longer available. SolarWinds recommends migrating to SolarWinds Observability SaaS for APM capabilities. That product is a separate purchase with per-service-instance pricing ($27.50/service instance/month, per publicly available SaaS pricing data). For a team running 20 service instances, that's $550/month before any other observability costs.
What does that migration look like in practice? You're standing up a new product with a new configuration model, new dashboards, and a different billing dimension, and then correlating its output with Papertrail logs manually. The two products don't share a data model or interface.
If you're currently on the Papertrail + AppOptics stack and facing that migration decision, it's worth comparing the total cost of a SolarWinds Observability SaaS deployment against Better Stack's unified model.
| APM / tracing | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Availability** | Built in | Requires separate SWO SaaS product |
| **Instrumentation** | eBPF (zero code changes) | SDK per service (in SWO SaaS) |
| **Database auto-tracing** | Postgres, MySQL, Redis, MongoDB | Available in SWO SaaS |
| **Frontend-to-backend** | Unified view (same interface) | Separate products, manual correlation |
| **OpenTelemetry** | Native, first-class | Available in SWO SaaS |
| **Pricing** | Included in unified GB rate | $27.50/service instance/month (additional) |
| **AppOptics** | N/A | End of life January 31, 2026 |
---
## Infrastructure monitoring
Papertrail has never included infrastructure metrics. Servers, containers, Kubernetes nodes, and cloud resources don't produce metrics that Papertrail can ingest. If you want to know whether a host's CPU is saturated when logs start showing latency, you need a separate tool.
### Better Stack: Prometheus-native metrics, no cardinality tax
[Better Stack metrics](https://betterstack.com/infrastructure-monitoring) is Prometheus-compatible. Full PromQL query support, scraping from existing Prometheus exporters, and no per-metric or per-tag pricing. Add as many dimensions to your metrics as you need for analysis without worrying about what those tag combinations cost.
Visualize metrics in dashboards:
Write PromQL directly:
Or use the drag-and-drop chart builder if you don't want to write queries:
Metrics live in the same data warehouse as logs and traces. A single dashboard can show a service's error rate (from logs), its p99 latency (from traces), and CPU utilization (from metrics) side by side, with one query language connecting them.
### SolarWinds Papertrail: not in scope
Infrastructure metrics are outside Papertrail's product boundary. SolarWinds Observability SaaS covers infrastructure monitoring at $12/device/month. For a 100-host deployment, that's $1,200/month for infrastructure monitoring alone, before logs, APM, or anything else.
Teams running Kubernetes will also want to evaluate whether SolarWinds' Kubernetes visibility matches what Better Stack's eBPF collector captures automatically: pod-level metrics, service-to-service traffic, and container resource utilization without manual agent configuration.
| Metrics | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Included in platform** | Yes | No (separate SWO SaaS product) |
| **Prometheus / PromQL** | Native | Available in SWO SaaS |
| **Cardinality pricing** | No penalty | N/A in Papertrail; per-device in SWO SaaS |
| **Kubernetes metrics** | Auto-discovered via eBPF collector | Agent-based (SWO SaaS) |
| **Correlation with logs** | Unified (same interface and query language) | Manual (separate products) |
---
## Incident management and on-call
Papertrail handles the alerting end of incident management: when a search matches a pattern, it can push a webhook to Slack, PagerDuty, OpsGenie, or a custom endpoint. What it doesn't do is manage who gets paged, when, and at what escalation level. That's by design. Papertrail is a log platform. On-call routing is a different product category.
### Better Stack: on-call, escalation, and investigation built in
[Better Stack incident management](https://betterstack.com/incident-management) includes everything from alert routing to post-mortem generation, all in one platform. Unlimited phone and SMS alerts are included at $29/month per responder. No per-alert fees, no carrier surcharges.
Here's how the incident lifecycle works end to end:
Incidents are managed natively in Slack, with dedicated channels created automatically and investigation tools embedded directly:
On-call rotations, timezone-aware scheduling, and automatic handoffs are part of the platform:
Post-mortems are generated automatically from the incident timeline:
Advanced escalation policies support multi-tier workflows with time-based rules and metadata filters for enterprise teams:
### SolarWinds Papertrail: alerting only, on-call via third parties
Papertrail sends alert notifications to external services when searches match. Supported destinations include Slack, PagerDuty, OpsGenie, Librato, and custom webhooks. The integration is functional but the alert flow is one-directional: Papertrail fires the webhook and hands off to the external tool for routing.
For teams that already run PagerDuty or OpsGenie, Papertrail's webhook integration works without friction. The cost of those tools adds up: PagerDuty's Business tier runs $49/user/month. For a 5-person on-call rotation, that's $245/month on top of Papertrail's own cost. OpsGenie's comparable tier runs similarly.
What's missing on the incident side: Papertrail has no concept of an incident record, no post-mortem generation, no on-call scheduling within the platform, and no Slack-native incident channels. Managing an incident sourced from Papertrail means working across at least two products (Papertrail plus whatever on-call tool you use) and manually correlating the alert context between them.
| Incident management | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **On-call scheduling** | Built in | Via PagerDuty / OpsGenie |
| **Phone / SMS alerts** | Unlimited ($29/responder) | Via external tool |
| **Escalation policies** | Built in | Via external tool |
| **Slack-native incidents** | Automatic incident channels | Webhook only |
| **Post-mortems** | Auto-generated | Not available |
| **Cost (5 responders)** | $145/month | $245–415/month (PagerDuty) + Papertrail |
---
## AI capabilities and MCP
Papertrail predates the current wave of AI tooling and hasn't added any AI features. There is no AI-assisted alert investigation, no natural language log querying, and no MCP server. The most "AI-adjacent" capability is regex-based anomaly alerting, which is rule-based, not model-based.
### Better Stack: AI SRE and production-ready MCP
**AI SRE** activates during incidents without being prompted. It queries your service map, pulls relevant log windows, reviews recent deployments, and delivers a root cause hypothesis. When an alert fires at 3am, your on-call engineer starts from a structured investigation rather than a blank terminal.
The [Better Stack MCP server](https://betterstack.com/docs/getting-started/integrations/mcp/) connects Claude, Cursor, and any MCP-compatible client directly to your observability data. Instead of copying log snippets into a chat window, your AI assistant queries Better Stack directly: running ClickHouse SQL against your logs, checking on-call schedules, acknowledging incidents, or building dashboard charts through natural language.
Setup requires adding the MCP configuration to your client:
```json
{
"mcpServers": {
"betterstack": {
"type": "http",
"url": "https://mcp.betterstack.com"
}
}
}
```
From there, you can ask: "show me all monitors currently down," "who's on-call right now?", "find HTTP 500 errors in the last hour," or "create a dashboard showing error rates for my API service." The MCP server covers uptime monitoring, incident management, log querying, metrics, dashboards, error tracking, and on-call scheduling. Access controls let you restrict the AI assistant to read-only operations or block specific destructive actions.
The Better Stack MCP server is generally available to all customers. It is not in preview. There is no waitlist.
### SolarWinds Papertrail: no AI features
Papertrail has no AI-assisted log analysis, no natural language query capability, and no MCP server. SolarWinds as a platform has added AI capabilities to its broader product portfolio, but none of those are available in Papertrail specifically.
If AI-assisted investigation and MCP connectivity are decision criteria for your evaluation (and for teams using Claude or Cursor in their engineering workflow, they increasingly are), Papertrail has no answer in 2026.
| AI capability | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **AI SRE** | Yes (autonomous, activates on incident) | No |
| **MCP server** | Yes (GA, all customers) | No |
| **Natural language log querying** | Via MCP in any AI client | No |
| **Anomaly detection** | AI-assisted | Regex / rule-based alerting only |
| **AI coding agent integration** | Claude Code + Cursor | No |
---
## Log viewer and UX
This is one area where Papertrail holds its own. The live tail interface has been refined for over a decade and it shows. It's fast, it's keyboard-navigable, and the real-time filtering is responsive enough that experienced users can triage incidents without switching away from the viewer.
### Better Stack: live tail with SQL depth
Better Stack's Live Tail streams logs in real time from all connected sources, with filtering by field values, regex, or SQL predicates. The customization options go deeper than Papertrail's: you can save filter presets per team member, build side-by-side views of logs and metrics from the same screen, and pivot from a log line directly into the trace or error that generated it.
The UX difference comes into focus during incidents. In Papertrail, a live tail session shows you logs. In Better Stack, the same screen can show you logs alongside the metric chart that was spiking when those logs fired, the trace that triggered the error, and the AI SRE hypothesis running in the sidebar. It's a single surface rather than a starting point for a multi-product investigation.
Customize your Live Tail layout and filter preferences:
### SolarWinds Papertrail: fast tailing, limited depth
Papertrail's event viewer streams live log events, supports keyword filtering and saved searches, and lets you group sources into "systems" for scoped views. The interface hasn't changed dramatically in recent years, which is both a strength (it's stable and familiar) and a limitation (it hasn't acquired capabilities that newer observability tools treat as standard).
What the viewer lacks: no SQL-based aggregation, no correlation with traces or metrics in the same view, no chart builder, no ability to pivot from a log line into upstream telemetry. For Papertrail's intended use case (fast triage of recent log events), these limitations may not matter. For teams using it as their primary investigation surface, they create bottlenecks.
| UX / viewer | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Real-time tailing** | Yes | Yes |
| **SQL-based filtering** | Yes | No (keyword / regex) |
| **Saved searches / presets** | Yes (team-wide) | Yes |
| **Inline trace correlation** | Yes | No |
| **Inline metric correlation** | Yes | No |
| **Chart builder** | Yes | No |
| **Onboarding time** | Hours | Minutes |
Papertrail wins on first-minute simplicity. Better Stack wins on investigation depth once you're past the initial setup.
---
## Deployment and integration
### Better Stack: one collector, automatic discovery
Deploy Better Stack's eBPF collector to Kubernetes via Helm chart. It runs as a DaemonSet, discovers services automatically, and begins collecting telemetry within minutes. Watch the telemetry sources overview:
Already running an OpenTelemetry collector? Better Stack accepts OTel data natively:
For log pipelines, Vector integrates directly:
Better Stack connects natively to 100+ integrations covering all major stacks: MCP, OpenTelemetry, Vector, Prometheus, Kubernetes, Docker, PostgreSQL, MySQL, Redis, MongoDB, Nginx, and more. New services are instrumented automatically without coordination across teams.
### SolarWinds Papertrail: syslog and HTTPS ingestion
Papertrail ingests via syslog protocol (UDP, TCP, TLS) and HTTPS. It works with anything that can write to a syslog endpoint, which covers most Linux servers, Docker containers, Heroku dynos, AWS CloudWatch Logs, and many PaaS platforms. The setup for a single server is genuinely fast: add the syslog destination and logs appear within seconds.
Papertrail doesn't support OpenTelemetry ingestion. If your stack is OTel-instrumented, logs need to be reformatted before Papertrail can consume them, which adds a pipeline step that Better Stack eliminates.
The integration surface for alerting is approximately 50 destinations (Slack, PagerDuty, OpsGenie, Librato, webhooks, and others). There are no integrations for metrics collection, tracing, or data export beyond the S3 archive pathway.
| Deployment | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Kubernetes deployment** | Helm chart (DaemonSet, auto-discovery) | Syslog agent per node |
| **Docker** | Auto-discovered via eBPF | Log driver forwarding |
| **OpenTelemetry** | Native ingestion | Not supported |
| **Time to first telemetry** | Minutes | Minutes (logs only) |
| **Integration count** | 100+ (full stack) | ~50 (alerting / log sources) |
| **New service instrumentation** | Automatic | Manual per-source configuration |
---
## Error tracking
### Better Stack: Sentry-compatible, AI-assisted debugging
[Better Stack Error Tracking](https://betterstack.com/error-tracking) accepts Sentry SDK payloads directly. If you're already instrumenting with Sentry SDKs, you can point them at Better Stack without rewriting application code. Errors group into issues automatically, with full stack trace context and the distributed trace that led to the exception attached.
Claude Code and Cursor integration provides pre-made prompts that summarize the error, its stack trace, and the surrounding log context. Copy the prompt, open your AI coding agent, and start debugging with full context rather than manually reading stack frames. Why spend time constructing that context manually when it can be assembled automatically?
### SolarWinds Papertrail: not available
Error tracking is outside Papertrail's scope. You can write log lines that contain exception text and search for them, but there's no error grouping, no issue deduplication, no stack trace parsing, and no integration with a code editor for debugging workflows. Teams using Papertrail for error management are typically supplementing it with Sentry, Rollbar, or Bugsnag at additional cost.
| Error tracking | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Built-in error tracking** | Yes | No |
| **Sentry SDK compatibility** | Yes (native) | No |
| **Stack trace grouping** | Yes | No |
| **AI debugging integration** | Claude Code + Cursor | No |
| **Trace-to-error correlation** | Automatic | Not available |
---
## Real user monitoring
### Better Stack: unified frontend and backend
[Better Stack RUM](https://betterstack.com/real-user-monitoring) captures session replays, Core Web Vitals (LCP, CLS, INP), JavaScript errors, user behavior analytics, and product funnels. Because frontend telemetry lives in the same data warehouse as backend logs, metrics, and traces, you can pivot from a session replay directly into the backend trace that caused the slow page load, without leaving the interface or running a separate query.
Session replays filter by rage clicks, dead clicks, errors, and frustration signals, and play back at 2x speed with dead time skipped. Website analytics tracks referrers, UTM campaigns, and entry/exit pages in real time. Auto-captured user events mean you can define funnels retroactively without pre-instrumenting.
### SolarWinds Papertrail: not available
Real user monitoring is not part of Papertrail's product scope. SolarWinds Observability SaaS includes digital experience monitoring as a separate module, but it is not integrated with Papertrail logs in any meaningful way.
| RUM | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Session replay** | Yes | No |
| **Core Web Vitals** | Yes (LCP, CLS, INP) | No |
| **Frontend-to-backend correlation** | Unified (same interface) | Not available |
| **Product analytics / funnels** | Yes | No |
| **JavaScript error tracking** | Built in | No |
---
## Status pages
### Better Stack: built in and auto-synced
[Better Stack Status Pages](https://betterstack.com/status-pages) is part of the platform, not an add-on. Incidents created in Better Stack's incident management are automatically reflected on the public or private status page. Subscriber notifications go via email, SMS, Slack, and webhook.
Custom branding, custom domains, password protection, SAML SSO for private pages, and scheduled maintenance windows are all included. Pricing is $12–208/month for advanced features, included with Better Stack's incident management with no separate licensing.
### SolarWinds Papertrail: not available
Status pages are not part of Papertrail. SolarWinds as a company doesn't offer a standalone status page product. Teams using Papertrail who need a customer-facing status page typically use Statuspage (Atlassian), Cachet, or a similar independent tool, adding another product and another cost to the stack.
| Status pages | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **Included in platform** | Yes | No |
| **Incident auto-sync** | Yes | Not available |
| **Subscriber channels** | Email, SMS, Slack, webhook | Not available |
| **Private pages (SSO)** | Yes | Not available |
---
## Enterprise readiness
### Better Stack
Better Stack's enterprise features cover the requirements most procurement processes include: SOC 2 Type II certification, GDPR compliance with EU and US data residency options, SSO via Okta/Azure/Google (SAML), SCIM provisioning for automated user lifecycle management, RBAC for team-level access controls, and audit logs for compliance visibility. Data residency is flexible: host logs and metrics in Better Stack's infrastructure or in your own S3 bucket. Enterprise customers get a dedicated Slack support channel and a named account manager, not a support ticket queue.
SLAs are available for enterprise tiers. The eBPF collection model means no agent software deployed to production hosts that could become a security attack surface.
What Better Stack doesn't offer: HIPAA compliance or FedRAMP authorization. If you're in healthcare, government contracting, or financial services with specific regulatory mandates, that gap matters. Does your procurement team require HIPAA or FedRAMP, or do SOC 2 Type II and GDPR cover your requirements?
### SolarWinds Papertrail
Papertrail's enterprise positioning is more limited than Better Stack's. SSO is available but only on enterprise tier with a custom quote. SCIM provisioning is not documented as a Papertrail feature. Audit logs for user actions are not a published capability. RBAC is limited to system groups and user team permissions rather than fine-grained role definitions.
SolarWinds as a parent company carries enterprise sales infrastructure and has GDPR compliance documentation available. However, Papertrail specifically is a developer-oriented tool that hasn't been built out with the enterprise governance features that procurement teams look for. If SCIM, audit logs, and fine-grained RBAC are requirements, the Papertrail side of the SolarWinds portfolio is unlikely to satisfy them without upgrading to the full SolarWinds Observability SaaS platform.
One additional enterprise consideration: SolarWinds moved all new and renewal licenses to mandatory 3-year subscription commitments as of August 1, 2025, with a 20% early termination penalty. That's a significant contractual commitment for a log-only tool, especially if your observability strategy is likely to evolve in the next three years.
| Enterprise feature | Better Stack | SolarWinds Papertrail |
|---|---|---|
| **SOC 2 Type II** | ✓ | SolarWinds company-level |
| **GDPR** | ✓ | ✓ |
| **HIPAA** | ✗ | ✗ |
| **FedRAMP** | ✗ | ✗ |
| **SSO (SAML/OIDC)** | ✓ (Okta, Azure, Google) | Enterprise tier only |
| **SCIM provisioning** | ✓ | Not documented |
| **RBAC** | ✓ | Limited (system groups) |
| **Audit logs** | ✓ | Not documented |
| **Data residency** | EU + US + optional S3 | Limited |
| **Dedicated support channel** | Slack + account manager | Email support |
| **SLA** | Enterprise SLA available | Custom quote |
| **Contract flexibility** | Flexible | Mandatory 3-year minimum (SolarWinds policy) |
---
## Final thoughts
This comparison is not really about log management. **Both platforms handle logs well.** The real question is whether you want **a logging tool plus additional products**, or **one platform that covers the entire incident lifecycle**.
Papertrail still does what it was built for: **simple, fast log aggregation**. But its limitations are clear. It lacks **metrics, traces, error tracking, RUM, incident management, and AI-driven investigation**, and its APM companion reached end of life in 2026. For most teams, that means **adding multiple tools, managing separate contracts, and increasing complexity**.
**Better Stack takes a unified approach.** It combines **logs, metrics, traces, error tracking, RUM, on-call, AI SRE, and status pages in one platform**, all backed by a **single data model and predictable pricing**. This allows teams to move from **alert to resolution without switching tools**.
The decision comes down to scope. If logs alone are enough, Papertrail remains a simple option. But for most teams, **resolving incidents requires more than logs**.
**Better Stack provides a more complete and cost-effective solution**, especially when you factor in the overhead of stitching together multiple tools.
You can try it here: [https://betterstack.com](https://betterstack.com)