Better Stack vs Graylog: A Complete Comparison

Better Stack and Graylog look like competitors on the surface, but they come from different directions entirely. Graylog grew out of the open-source log management world and has been building toward SIEM and threat detection for the past several years. Better Stack came up through incident management and uptime monitoring before expanding into full-stack observability: logs, metrics, traces, real user monitoring, and error tracking.

That history matters when you're making a buying decision, because it means the two platforms are genuinely optimized for different jobs. If you're a security team trying to detect threats and investigate incidents across your infrastructure, Graylog Security is worth a close look. But if you're an engineering team trying to understand what your services are doing, correlate a log spike with a slow trace, and get paged when something breaks, Better Stack is the more complete and considerably cheaper platform for that job.

This article covers both platforms honestly. Where Better Stack wins, I'll say so clearly. Where Graylog has real advantages, I'll say that too.

Quick comparison at a glance

Platform architecture

Before getting into individual features, it helps to understand how these two platforms are built, because the architecture differences explain most of the pricing and capability gaps you'll see throughout this comparison.

Better Stack: unified observability platform

Better Stack runs everything through a single data warehouse. Your logs, metrics, traces, and RUM events all land in the same place, and you query all of them with SQL or PromQL. When an alert fires and you need to understand what happened, you don't switch between products or mentally translate between query syntaxes. The service map, recent log errors, latency spikes, and affected user sessions are all visible in one view.

The underlying collection mechanism is an eBPF collector that runs at the Linux kernel level. You deploy it to Kubernetes as a DaemonSet, and it starts discovering services and capturing telemetry automatically, without you touching a single line of application code. Database queries to PostgreSQL, MySQL, Redis, and MongoDB get traced automatically. HTTP and gRPC traffic between your services shows up in distributed traces within minutes.

Graylog: log-centric with SIEM as the primary value layer

Graylog's architecture is built around log ingestion and storage. It accepts a wide range of input formats, including Syslog, CEF, GELF, Beats, HTTP JSON, IPFIX, NetFlow, and plain text, and it routes those logs through configurable pipelines and streams before indexing them for search.

The platform comes in four editions. Graylog Open is free and source-available. Graylog Enterprise adds advanced log management features on top. Graylog Security is the SIEM product with threat detection and investigation workflows. Graylog API Security is a separate product for API discovery and protection. Each edition has its own price point and its own audience.

One important thing to understand before you go further: Graylog does not include APM, distributed tracing, infrastructure metrics monitoring, incident management with on-call scheduling, or status pages, regardless of which edition you're on. It is a log-centric platform by design, and if you need those other capabilities alongside it, you're building a multi-tool stack.

Pricing comparison

Pricing is where the product difference becomes very concrete. Better Stack charges you for data volume with no minimum commitment. Graylog's paid editions require an annual license starting at $15,000-18,000 per year before you account for the other tools you'll need alongside it.

Better Stack: volume-based, no floor

With Better Stack, you pay for what you actually use. There's no annual license minimum, no per-seat charge for log access, and no separate module fees for features you'd expect to be included.

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: $29/month (unlimited phone/SMS)
• 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

That single number covers your entire observability stack: logs, metrics, traces, error tracking, incident management, and status pages. You're not also paying for a separate APM tool, a separate alerting platform, or a separate status page service.

Graylog: annual license minimums

Graylog Enterprise starts at $15,000/year and Graylog Security at $18,000/year, with both tiers priced by daily log ingestion volume. The annual figure is a baseline, and costs scale up with volume beyond that.

Here's the thing to keep in mind: that $15,000-18,000 per year baseline gets you log management or SIEM specifically, not a full observability stack. If you're using Graylog for engineering operations, you'll still need separate tools for metrics monitoring (Prometheus and Grafana), distributed tracing (Jaeger, Tempo, or similar), incident management (PagerDuty, OpsGenie), and status pages. Those costs add up on top of the Graylog license quickly.

Graylog Open is genuinely free and source-available, which is worth mentioning. If you have the engineering time to self-manage the infrastructure, it covers log collection, search, dashboards, and alerting at no cost. The open tier excludes the features most production environments eventually need, like scheduled reports, advanced RBAC via teams integration, archiving, collections, and the Security edition's SIEM capabilities, but it's a real option if you're starting out or working within tight budget constraints.

Cost comparison: 3-year TCO

For a 100-host engineering team with standard observability needs (logs, metrics, traces, incident management):

That gap narrows if your primary use case is SIEM, since Better Stack doesn't have one. But for engineering observability specifically, the cost difference is hard to argue with.

Log management

Log management is the one area where both platforms have something real to offer, so this section is worth reading closely. Both handle ingestion well. The differences show up in how logs are stored, queried, and what they connect to.

Better Stack: logs as part of unified telemetry

Better Stack logs stores every ingested log as a structured event in the same data warehouse as your metrics, traces, and RUM data. Every log is immediately searchable via SQL or PromQL, with no additional indexing cost and no decision about which logs to make searchable vs. which to archive.

The SQL query syntax is something you probably already know:

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

Because your logs live next to your traces and metrics in the same warehouse, correlating a log error with the distributed trace that caused it takes one click, not a workflow across multiple tools. When you're debugging a slow API call at 2am, that's the difference between a 5-minute fix and a 40-minute investigation.

Pricing: $0.10/GB ingestion + $0.05/GB/month retention. A service producing 100GB monthly costs $15 total, with every log searchable and no indexing decisions to make.

Graylog: purpose-built log platform with strong pipeline tooling

Graylog's log management is the most mature part of the platform, and it shows. The ingestion side accepts data from Syslog, Beats/Filebeat, GELF, HTTP JSON, CEF, IPFIX, NetFlow, and plain text. If your infrastructure generates logs, Graylog can almost certainly ingest them.

The real strength is the pipeline and stream system. Logs flow through configurable processing rules that parse, normalize, enrich, and route messages before indexing. You can extract fields from unstructured syslog output, drop debug noise before it hits storage, mask PII at ingestion time, enrich events with GeoIP data, or send Windows security events to a high-retention compliance index while routing debug logs somewhere cheaper. For environments with diverse log sources and strict data handling requirements, this is genuinely useful and not something Better Stack replicates at the same depth.

Graylog Illuminate adds a content library of pre-built parsers, dashboards, and detection rules for common sources, covering firewalls, identity providers, Windows events, and cloud services. Open users get a limited free selection, while Enterprise and Security users get the full library. This saves a lot of the manual parser-writing work you'd otherwise have to do.

The search interface uses a Lucene-based query syntax, which is familiar if you've worked with Elasticsearch-based tools before. It's capable enough, but it's a log-only syntax. You can't use it to query metrics or traces, because Graylog doesn't have those.

What Graylog logs can't do natively: correlate with distributed traces, connect to metrics dashboards, or link to user session replays. Your log data is complete within Graylog's world, but that world has firm boundaries around log data specifically.

Pipelines and streams

There's no direct Better Stack equivalent for this section because Better Stack handles routing at the collection layer, through OpenTelemetry or Vector, rather than building a dedicated pipeline abstraction inside the platform. Graylog's pipeline system is one of its strongest capabilities for anyone managing complex, heterogeneous log environments, and it deserves its own section.

Graylog

Pipelines and streams let you define rules that route, transform, and enrich logs before they're written to storage. A single pipeline rule can extract structured fields from a raw syslog message, drop noisy debug traffic before it costs you storage, mask sensitive data at ingestion time, or route Windows security events to a long-retention compliance index while everything else goes somewhere cheaper. When you're processing terabytes of logs daily from hundreds of different sources, this kind of fine-grained control is essential.

Collections (available in Enterprise and Security) group related streams together so you can manage them, report on them, and control access to them as a unit. Asset History and Asset Event Definitions, which are Security-only features, track how asset state changes over time and let you fire event rules based on what's happening at the asset level, not just what's in individual log messages.

Does your current log tool let you define routing and enrichment rules this precisely? If you're running a mixed environment with network devices, cloud services, legacy servers, and on-prem infrastructure all generating logs in different formats, Graylog's pipeline depth is a real differentiator.

Distributed tracing (APM)

This one is a straightforward win for Better Stack. Graylog doesn't have APM or distributed tracing in any edition. Not as a limited feature, not as a paid add-on. It's simply outside the product scope.

Better Stack: eBPF-native tracing

Better Stack's APM captures distributed traces at the kernel level using eBPF. You don't install tracing libraries, configure per-service SDKs, or set sampling rates to keep costs under control. Deploy the collector, and your HTTP and gRPC traffic is traced automatically.

PostgreSQL, MySQL, Redis, and MongoDB query traces appear automatically. In polyglot environments where you're running Python, Go, Java, and Node.js side by side, not having to maintain separate SDK versions across services removes a real maintenance burden.

Frontend-to-backend correlation lets you follow a slow page load from the initial browser request all the way through your backend services and database queries in a single view, without switching products or manually stitching context together.

OpenTelemetry-native, zero lock-in. Traces use the OTel format natively, which means if you ever want to route data somewhere else, you update a config file rather than your codebase. No proprietary agents accumulating migration debt over time.

Graylog: no APM

Graylog doesn't include distributed tracing or APM in any edition. If you're using Graylog for log management and also need trace visibility, you'll be running a separate APM tool alongside it and manually correlating the two when something breaks.

If you currently spend time jumping between a log management tool and a tracing tool to piece together what caused an issue, that's exactly the kind of friction Better Stack removes by keeping both in the same interface.

Infrastructure monitoring

The pattern from the APM section continues here. Better Stack includes infrastructure metrics monitoring. Graylog does not.

Better Stack: Prometheus-compatible with no cardinality penalties

Better Stack metrics charges on data volume, not on unique metric combinations, so you can add high-cardinality tags like customer_id or deployment_version without worrying about your bill multiplying.

You get full PromQL support, so your existing Prometheus queries and dashboards carry over without changes. If you'd rather not write queries at all, there's also a drag-and-drop chart builder for the common cases:

Since metrics live in the same warehouse as your logs and traces, you can build dashboards that pull from all three without any cross-product wiring.

Graylog: no metrics monitoring

Graylog doesn't include infrastructure metrics monitoring. You can derive simple metrics from log data through pipeline rules, like counting how many times an error pattern appears, but Prometheus-style time-series metrics from your hosts, containers, and services are out of scope.

In practice, if you're using Graylog for operations, you're also running Prometheus and Grafana. That stack works fine, but it means maintaining two separate systems, two alert configurations, and two places to look when something goes wrong.

Alerts and events

Both platforms have alerting, but they're built around different assumptions about what you're alerting on. Better Stack covers metrics thresholds, log patterns, trace anomalies, and uptime checks. Graylog's alerting is log-event-driven, with the Security edition layering in threat-detection alerts powered by behavioral analysis.

Better Stack

With Better Stack, you can define monitors across your entire telemetry stack: metrics, log patterns, trace error rates, and uptime checks. When an alert fires, it flows directly into the built-in incident management layer, creating a Slack channel, paging whoever's on call, and escalating if there's no acknowledgment. It's one product, not a chain of integrations.

Graylog: event definitions with security-aware detection

Graylog's event system works through event definitions that fire on log conditions: threshold counts, field value patterns, correlations across multiple streams. In the Enterprise edition, parameters and filters make those event queries reusable across different contexts. In the Security edition, alert logic extends all the way to behavioral anomaly detection and threat-campaign correlation.

Graylog Security's threat prioritization engine is worth understanding specifically. Rather than firing an individual alert for every suspicious log event, it groups related signals using entity context, asset criticality, vulnerability data, and threat intelligence before surfacing a correlated finding. The AI Summarization feature, introduced in v7.0, then generates a plain-language explanation of what's happening and why it matters, which reduces the burden of reading raw alert data significantly.

The Spring 2026 release adds asset-level event definitions that can automatically trigger a full investigation when an asset risk score crosses a defined threshold, without an analyst having to initiate the process. That's a meaningful capability for lean security operations where people don't have the bandwidth to manually triage every alert.

Incident management

Better Stack includes a full incident management layer. Graylog doesn't, and it doesn't try to. It integrates with PagerDuty, OpsGenie, and other on-call tools but leaves that functionality to them.

Better Stack

Better Stack incident management includes on-call scheduling, escalation policies, unlimited phone and SMS alerts, Slack-native incident channels, and automatic post-mortems, all at $29/month per responder. Five responders costs $145/month with no additional platform charge for the functionality.

After incidents are resolved, Better Stack automatically generates post-mortems from the incident timeline:

Graylog: external integrations

Graylog routes alerts to PagerDuty, OpsGenie, Slack, email, and webhooks. The alerting itself is handled, but your on-call scheduling, escalation policies, phone delivery, and incident tracking all live in whatever external tool you've connected. If you're on PagerDuty, that's an additional $49-83/user/month alongside the Graylog license.

AI features and MCP

Both platforms have made significant AI investments over the past year, and both have production-ready MCP servers available today. The key difference is what their AI is built to do. Better Stack's AI is focused on engineering incident investigation. Graylog's AI is focused on security threat analysis.

Better Stack: AI SRE for engineering incidents

Better Stack's AI SRE activates autonomously when an incident fires. It analyzes your service map, queries recent logs, reviews recent deployments, and produces a root-cause hypothesis before you've had a chance to open a second browser tab. At 3am, that starting point matters.

The Better Stack MCP server 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 who's on call, acknowledging incidents, or building dashboard charts through natural language.

{
  "mcpServers": {
    "betterstack": {
      "type": "http",
      "url": "https://mcp.betterstack.com"
    }
  }
}

Graylog: AI for security investigations

Graylog's AI capabilities are purpose-built for security operations rather than engineering observability. Version 7.0, released in Fall 2025, introduced AI-enabled dashboards that turn complex security data into plain-language summaries, telling you what's driving a spike, why an anomaly matters, and what changed, so analysts can act on findings rather than interpret raw data.

The Spring 2026 release (v7.1) goes further by introducing risk-triggered automated investigations. When an asset risk score crosses a defined threshold, Graylog opens a complete investigation automatically, attaches all relevant signals, and generates step-by-step response recommendations without requiring an analyst to kick the process off. The threat prioritization engine groups related alerts by entity context, asset criticality, vulnerability data, and threat intelligence before surfacing findings, which reduces alert fatigue considerably compared to per-event alerting.

The Graylog MCP Server, available across all editions since v7.0, connects user-approved AI agents or LLMs to Graylog data for natural language queries and analysis, governed by your existing role-based access controls.

Security monitoring and SIEM

Security is where Graylog has a clear structural advantage, and it's worth being direct about that. Better Stack is an observability platform with strong compliance credentials. Graylog Security is a dedicated SIEM product built for threat detection, investigation, and response. Those are different things.

Graylog Security: purpose-built SIEM

Graylog Security's pitch is a SIEM that lean security teams can actually operate, without needing a large analyst headcount or a seven-figure budget to get value from it.

A few capabilities worth understanding specifically:

Behavioral detection goes beyond static rule matching to surface attacks that your rule sets would otherwise miss. The platform explains why each detection fired and lets you tune sensitivity without disabling the detection entirely, which is how you reduce false positives without creating coverage gaps.

Sigma rule support means your detection rules use an open standard format that works across SIEM platforms. That reduces lock-in compared to platforms that require proprietary rule syntax.

Investigations and case management are built into the product. When an alert fires, you can open a structured investigation, attach supporting signals, assign it to a team member, and track it through resolution. AI Summarization generates investigation documentation automatically from the evidence you've collected.

UEBA (User and Entity Behavior Analytics) provides anomaly detection on user and entity behavior patterns, which catches deviations that rule-based detection alone misses.

Graylog Illuminate packages pre-built detection content for Windows, Active Directory, Microsoft 365, cloud providers, firewalls, and identity providers. You're not starting from zero when you onboard a new log source.

Graylog API Security is a separate product (also starting at $18,000/yr) for API discovery and protection against data exfiltration threats. It's a meaningful addition for organizations where API security is a specific concern.

Better Stack: compliance and access control, not threat detection

Better Stack is SOC 2 Type II and GDPR compliant, with data stored in ISO/IEC 27001-certified data centers. You get SSO/SAML via Okta, Azure, and Google; AES-256 encryption at rest; TLS in transit; and RBAC through team-based access controls.

What Better Stack doesn't have: a SIEM, threat detection rules, behavioral anomaly detection for security purposes, security investigation workflows, or HIPAA compliance. If your primary requirement is active threat detection and security operations, Better Stack isn't the right platform for that job.

Deployment and integration

Better Stack

Getting started with Better Stack means deploying the eBPF collector to Kubernetes via a Helm chart. One DaemonSet runs per cluster and handles discovery automatically. Most people have data flowing within an hour.

If you're already running OpenTelemetry, connecting to Better Stack is just a config update to your existing collector:

Better Stack connects natively to 100+ integrations covering all major stacks: MCP, OpenTelemetry, Vector, Prometheus, Kubernetes, Docker, PostgreSQL, MySQL, Redis, MongoDB, Nginx, and more.

Graylog: flexible ingestion, self-hosted option

Graylog's deployment strength is flexibility. You can run it in Graylog Cloud, on AWS, GCP, or Azure in your own account, or fully on-premises. For organizations with strict data residency requirements or air-gapped environments, that self-hosting option is something Better Stack simply can't offer.

Graylog Sidecar lets you manage log collectors centrally across your server fleet. You configure collectors from the Graylog UI, push config updates to endpoints, and monitor collector status without logging into individual machines. If you're managing hundreds of Windows servers all forwarding event logs, that centralized management is genuinely useful.

The ingestion format breadth (Syslog, CEF, GELF, IPFIX, NetFlow, Beats, HTTP JSON, plain text) means Graylog can ingest from network devices, OT/ICS systems, and legacy infrastructure that won't support a modern agent. That breadth matters in mixed enterprise environments in a way that Better Stack's more modern-stack focus doesn't address.

Status pages

Better Stack includes status pages. Graylog does not.

Better Stack

Better Stack Status Pages syncs automatically with incident management, so when you declare an incident internally, your public status page updates without a separate step. You get public and private pages, custom branding and domains, subscriber notifications via email, SMS, Slack, and webhooks, scheduled maintenance announcements, and multi-language support.

Advanced features start at $12-208/month, with the basic capability included in the platform.

Graylog

Graylog doesn't include status pages in any edition. If you need a customer-facing status page alongside Graylog, you'll add a separate tool like Statuspage.io or Freshstatus.

Enterprise readiness

Both platforms cover the basics that enterprise procurement processes check. Where they differ is at the edges: specific compliance certifications, data residency control, and what support actually looks like in practice.

Better Stack covers SOC 2 Type II, GDPR, SSO via Okta, Azure, and Google, SCIM provisioning, RBAC, audit logs, and data residency in EU and US regions with optional storage in your own S3 bucket. On the support side, enterprise customers get a dedicated Slack support channel and a named account manager, which is the kind of direct access that's actually useful when you're dealing with a production issue.

Graylog adds HIPAA compliance in the Security edition, which Better Stack doesn't have. The self-hosting option gives you complete data residency control if you need it. Graylog Academy provides free training, and professional services are available for implementation. For organizations in healthcare or other regulated industries, the Graylog Security compliance portfolio is more complete.

Final thoughts

The honest answer here is that the right choice depends almost entirely on what problem you're trying to solve.

If your problem is engineering observability, understanding what your services are doing, reducing the time it takes to investigate a production issue, and keeping a predictable bill while you scale, Better Stack is the stronger platform.

You get logs, metrics, traces, real user monitoring, error tracking, incident management, and status pages in one product at a fraction of the cost of assembling those capabilities from multiple tools. The eBPF collector removes instrumentation overhead, the MCP server puts your observability data inside the AI tools you already use, and the volume-based pricing scales with actual usage rather than surprising you at billing time.

If your problem is security operations, threat detection, SIEM for compliance, and structured investigation workflows for your security team, Graylog Security is purpose-built for that job in a way that Better Stack isn't. It handles HIPAA compliance. It supports self-hosting for strict data residency requirements. Its pipeline system handles the diverse log sources that enterprise security environments generate. And the Spring 2026 release is pushing further into autonomous investigation workflows that reduce the analyst time required to triage and respond.

Ready to see how Better Stack handles your observability needs? Start your free trial and you'll have data flowing in under an hour.

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