Axiom is a managed observability platform for logs, traces, metrics, and events, with schema-less ingest and usage-based pricing.
Category
DevOps
Pricing
Usage-based (free tier + paid plans), from Free (Personal plan)
Verified
Not yet
Last updated
July 18, 2026
Headquarters
San Francisco, California, United States
Free PlanWeb AppAPIAIFreemium
Overview
Axiom is a fully managed observability platform headquartered in San Francisco, California, designed for ingesting and querying logs, metrics, traces, and events at petabyte scale without customers managing their own infrastructure.
Key Features
Axiom uses schema-less ingest with over 95% compression and a schema-on-read architecture, avoiding traditional indexing overhead. It offers APL (Axiom Processing Language) for logs and events and MPL (Metrics Processing Language) for metrics queries.
The platform is AI-native, with native Model Context Protocol (MCP) server support so AI agents can query observability data directly, and it provides a Splunk App for querying Axiom data from within Splunk.
Pricing Overview
Axiom offers a permanent free Personal plan (500 GB/month data loading, 10 GB-hours/month query compute, 25 GB storage, 30-day retention) and an Axiom Cloud plan starting at a $25/month platform fee plus usage-based charges beyond included allowances. Enterprise add-ons like SSO, RBAC, audit logs, and directory sync are available for additional monthly fees.
Key Features
Schema-less Ingest — High-compression, schema-on-read ingest that avoids traditional indexing overhead.
APL Query Language — A piped query language for logs and events, designed to feel familiar to Splunk users.
MPL Metrics Query Language — A dedicated query language for metrics data.
AI-Native / MCP Server Support — Native Model Context Protocol support so AI agents can query observability data directly.
Splunk App — Lets teams query Axiom data from within Splunk to ease migration.
Broad Integrations — Connects with OpenTelemetry, Vector, Fluent Bit, Kinesis Firehose, GitHub, Vercel, Cloudflare, Kubernetes, and more.
Pros & Cons
Pros
Generous permanent free tier for data loading, compute, and storage
Usage-based pricing with automatic volume discounts avoids rigid SKU tiers
Native AI agent (MCP) support for querying observability data
Splunk App eases migration without a full rip-and-replace
Cons
Exact founding year and company size are not publicly confirmed
Enterprise features like SSO, RBAC, and audit logs are unbundled add-ons with extra monthly fees
Usage-based billing requires active monitoring to avoid unexpected costs at scale
Axiom is used to ingest, store, and query logs, traces, metrics, and events for observability at scale, without managing your own infrastructure.
Does Axiom have a free plan?
Yes, Axiom offers a permanent free Personal plan with 500 GB/month of data loading, 10 GB-hours/month of query compute, and 25 GB of storage.
How is Axiom priced?
Axiom uses usage-based pricing with automatic volume discounts; the Axiom Cloud plan starts at a $25/month platform fee plus metered usage beyond included allowances.
Does Axiom support AI agents?
Yes, Axiom is AI-native and includes native Model Context Protocol (MCP) server support so AI agents can query observability data directly.