Datadog Log Management starts at $0.10/GB ingested plus $0.0025/GB indexed, making it expensive at scale. LogFlow offers comparable log search and alerting at a flat monthly rate from $0.
Datadog is the market leader in observability. If your team needs infrastructure metrics, APM traces, and logs in one place, Datadog delivers. But if you primarily need log management — collecting, searching, and alerting on logs from your applications — you're paying for a lot of features you don't use, at a price that scales painfully with volume.
TL;DR: Datadog Log Management charges per GB ingested and indexed. At 100 GB/month, you're paying $250-$400/month just for logs. LogFlow's Growth plan covers 100 GB for $49/month flat. If you don't need Datadog's APM and infrastructure monitoring, LogFlow is the better choice.
| LogFlow | Datadog | |
|---|---|---|
| Free tier | 500 MB/mo, 3 days | No free logs tier |
| Entry paid | $19/mo (10 GB, 14 days) | ~$15/host/mo + $0.10/GB ingested |
| 10 GB/month | $19/mo | ~$50-100/mo |
| 100 GB/month | $49/mo | ~$250-400/mo |
| 500 GB/month | $149/mo | ~$1,200-2,000/mo |
| Pricing model | Flat monthly | Per host + per GB ingested + per GB indexed |
Datadog's log pricing has two components: ingestion ($0.10/GB) and indexing ($0.0025/GB/day for 3-day retention). The costs multiply quickly for teams with multiple services or long retention requirements.
| Feature | LogFlow | Datadog |
|---|---|---|
| Log ingestion | ✓ HTTP API, SDK, OpenTelemetry | ✓ Agent, HTTP, many integrations |
| Full-text search | ✓ ClickHouse-powered | ✓ Elasticsearch-powered |
| Structured search | ✓ field:value syntax |
✓ @field:value syntax |
| Anomaly detection | ✓ Built-in, no config | ✓ Watchdog (paid add-on) |
| AI log explanation | ✓ Claude Haiku | ✓ AI Assistant (expensive) |
| Trace correlation | ✓ trace_id linking | ✓ Full APM integration |
| Error grouping | ✓ Built-in issues | ✓ Error Tracking (add-on) |
| Live tail | ✓ | ✓ |
| Alerts (Slack/email/webhook) | ✓ | ✓ |
| Infrastructure metrics | — | ✓ |
| APM traces | — | ✓ |
| Dashboards | Basic | Advanced |
| Browser SDK | ✓ | ✓ (RUM, expensive) |
| Team size | Up to 25 users | Unlimited |
| Retention | Up to 90 days | Up to 15 months (premium) |
npm install @getlogflow/jsThe LogFlow quickstart gets you running in under 5 minutes.
Is LogFlow cheaper than Datadog?
For log management specifically, yes — significantly. At 100 GB/month, LogFlow costs $49/month versus $250-400/month for Datadog. At 500 GB/month, the gap is even larger: $149/month versus $1,200-2,000/month. Datadog includes APM and infrastructure monitoring in those prices, but if you don't need those, you're overpaying.
Does LogFlow have a Datadog agent replacement?
LogFlow uses its own SDK (@getlogflow/js) and supports the HTTP API and OpenTelemetry. It doesn't have an infrastructure agent that collects host metrics. If you need host-level CPU, memory, and disk metrics alongside logs, you'd need a separate tool for that.
Can LogFlow replace Datadog for APM?
Not fully. LogFlow handles logs and log-based trace correlation (linking logs by trace ID). It doesn't provide distributed traces with flamegraphs, service maps, or application performance profiling. For full APM, Datadog remains the comprehensive choice.
What is Datadog's minimum monthly cost?
Datadog's infrastructure monitoring starts at $15/host/month. Log management is additional: $0.10/GB ingested. A 5-host setup sending 50 GB of logs would cost at minimum $75 (hosts) + $5 (ingestion) = $80/month, plus indexing costs. In practice, most teams pay $200-500+/month.
Does LogFlow offer anomaly detection like Datadog Watchdog?
Yes. LogFlow includes built-in anomaly detection (error rate spikes, volume spikes, volume drops, and silence detection) on all paid plans. Datadog Watchdog requires APM and is bundled with higher-tier plans. LogFlow's anomaly detection works without any configuration — it learns your baseline automatically.
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