Papertrail vs Axiom Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Papertrail Axiom
Starts at $5/mo $25/mo
Number of plans 1 2
Free plan
Free trial
Pricing model usage-based usage-based

Log Observability

$5/mo
  • Intuitive Web-based log viewer
  • Team-wide groups & searches
  • Unlimited systems & users
  • Encrypted logging
  • Long-term archive
  • REST API
  • Search alerts

Axiom Cloud

$25/mo
  • Always Free allowance (1 TB / 100 GB-hrs / 100 GB) included
  • Automatic volume discounts on usage beyond the allowance
  • Configurable retention
  • Self-serve enterprise add-ons (SSO, RBAC, Directory Sync, Audit Logs)
  • Compute credit pre-purchase for deeper discounts
  • All integrations
  • Email support (paid SLA + dedicated available)

Personal

$0/mo
  • 500 GB/mo data loading
  • 10 GB-hours query compute
  • 25 GB storage
  • 30-day retention
  • Full APL access
  • All integrations
  • Community support

Papertrail vs Axiom FAQ

Which one is cheaper?
Papertrail starts lower at $5/mo, compared to $25/mo for Axiom.
Can I use either one for free?
Axiom has a free plan. Papertrail doesn't — though they do offer a free trial.
How do they charge?
Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. Papertrail: At $5/GB, Papertrail sits on the affordable end of log management — well below Datadog's log pricing and competitive with entry-level Loggly. They're clearly targeting smaller engineering teams and startups who need simple, no-frills log aggregation without the complexity tax of full observability platforms. Axiom: They're positioning as a cost-efficient alternative to Datadog and Splunk — usage-based with no seat tax is a deliberate shot at log management incumbents that charge per user on top of ingestion. They're going after cost-conscious engineering teams burned by unpredictable observability bills.

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