Both LogFlow and Logtail are modern log management platforms built on ClickHouse. Compare pricing, features, anomaly detection, and developer experience to find the right fit.
LogFlow and Logtail (part of Better Stack) are both modern log management platforms — both built on ClickHouse for fast search, both with clean developer UIs. This comparison helps you choose between them.
TL;DR: Logtail is part of a broader observability suite (Better Stack) that includes uptime monitoring, incident management, and on-call scheduling. LogFlow is focused on logs and offers built-in anomaly detection, AI-powered explanations, and a flat pricing model. If you need the full Better Stack suite, Logtail is compelling. If you want the best log management at the lowest cost, LogFlow wins.
| LogFlow | Logtail (Better Stack) | |
|---|---|---|
| Free tier | 500 MB/mo, 3 days | 1 GB/mo, 3 days |
| Paid entry | $19/mo (10 GB, 14 days) | $25/mo (5 GB, 7 days) |
| Mid tier | $49/mo (100 GB, 30 days) | $85/mo (50 GB, 30 days) |
| High volume | $149/mo (500 GB, 90 days) | $199/mo (200 GB, 30 days) |
| Pricing model | Flat (logs only) | Per seat + per GB (includes other tools) |
Better Stack charges per seat (per user) in addition to per GB, which adds up for teams. LogFlow charges a flat rate regardless of user count (up to the plan limit).
| Feature | LogFlow | Logtail / Better Stack |
|---|---|---|
| Log storage engine | ClickHouse | ClickHouse |
| Full-text search | ✓ | ✓ |
| Structured search | ✓ field:value |
✓ SQL-like queries |
| Live tail | ✓ | ✓ |
| Anomaly detection | ✓ Built-in, automatic | ✓ Via Better Stack Alerts |
| AI log explanation | ✓ Claude Haiku | — (planned) |
| Trace correlation | ✓ trace_id linking | ✓ |
| Error grouping | ✓ Issues page | Limited |
| Uptime monitoring | — | ✓ (Better Stack Uptime) |
| Incident management | — | ✓ (Better Stack) |
| On-call scheduling | — | ✓ (Better Stack) |
| Browser SDK | ✓ | ✓ |
| Deployment markers | ✓ | ✓ |
| Scheduled reports | ✓ | — |
Both platforms use ClickHouse under the hood and offer sub-second search on billions of logs.
LogFlow uses a structured search syntax similar to Kibana: level:error service:api. You can combine filters with free text search, select time ranges, and group results by field.
Logtail offers a SQL-like query interface that's powerful but has a steeper learning curve. For teams comfortable with SQL, Logtail's query builder is flexible.
LogFlow includes automatic anomaly detection on all paid plans — no configuration required. It detects error rate spikes, volume spikes, volume drops, and extended silence using rolling baselines. Each anomaly includes an AI-generated explanation (Claude Haiku) that suggests likely causes.
Logtail/Better Stack offers anomaly detection through its alerting system, but it requires manual threshold configuration. There's no automatic baseline learning out of the box.
npm install @getlogflow/jsSee the quickstart guide or the Next.js tutorial.
Is Logtail the same as Better Stack?
Logtail was acquired by Better Stack in 2022. Today, Logtail is the logs product within the Better Stack platform, which also includes Uptime (uptime monitoring), Pager (incident management), and Status (status pages). If you sign up for Logtail, you get access to the broader Better Stack suite.
Which has better search — LogFlow or Logtail?
Both are fast (ClickHouse-based). LogFlow's search is more intuitive for developers who want to quickly filter by field without writing SQL. Logtail's SQL-like interface is more powerful for complex queries but requires familiarity with SQL syntax.
Does LogFlow have uptime monitoring?
Not currently. LogFlow focuses on log management — ingestion, search, alerts, and anomaly detection. For uptime monitoring, you'd pair LogFlow with a dedicated tool like Better Stack Uptime, Checkly, or Pingdom.
What's the price difference for a 10-person team at 100 GB/month?
LogFlow Growth plan: $49/month (flat, up to 20 users). Better Stack equivalent: approximately $85/month for logs + potential per-seat charges depending on features used.
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