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Axiom vs Logflare(2026)

Axiom is better for teams that need 500gb free ingest/month. Logflare is the stronger choice if sql queries over your logs. Axiom is freemium (from $0 (free 500GB ingest/month)) and Logflare is freemium (from $9/month).

Full feature breakdown, pricing details, and pros & cons below.

By Bikram Nath

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Axiom logo

Axiom

freemium

Axiom is a log management platform designed for high-volume structured data with a generous free tier and fast queries.

Starting at $0 (free 500GB ingest/month)

Visit Axiom
Logflare logo

Logflare

freemium

Logflare stores logs in Google BigQuery for long-term retention and SQL-queryable log analytics.

Starting at $9/month

Visit Logflare

How Do Axiom and Logflare Compare on Features?

FeatureAxiomLogflare
Pricing modelfreemiumfreemium
Starting price$0 (free 500GB ingest/month)$9/month
Structured logs✓—
APL query language✓—
Dashboards✓—
Alerts✓—
Vercel/Next.js integration✓—
Streams✓—
BigQuery backend—✓
SQL log queries—✓
Real-time streaming—✓
Cloudflare Workers integration—✓
Supabase built-in—✓
Long retention—✓

Axiom Pros and Cons vs Logflare

A

Axiom

+500GB free ingest/month
+Very fast queries
+Great Vercel integration
+Simple to set up
−APL query language has learning curve
−Newer platform
−Less ecosystem than Datadog
L

Logflare

+SQL queries over your logs
+Long retention via BigQuery
+Supabase integration
+Cost-effective at scale
−BigQuery dependency
−Smaller community
−Less polished UI vs Axiom

Should You Use Axiom or Logflare?

For most teams, Axiom is the better default: it offers 500gb free ingest/month and is freemium (from $0 (free 500GB ingest/month)). Choose Logflare instead if sql queries over your logs matters more than apl query language has learning curve. There is no universal winner — the right pick depends on your budget, team size, and whether you value 500gb free ingest/month or sql queries over your logs more.

Choose Axiom if…

  • •500GB free ingest/month
  • •Very fast queries
  • •Great Vercel integration

Choose Logflare if…

  • •SQL queries over your logs
  • •Long retention via BigQuery
  • •Supabase integration

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