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Axiom

Axiom

Fully managed, petabyte-scale log and event platform built for AI-native observability.

Our Verdict

Best for

Teams that want Splunk-like log querying at a fraction of the cost, with AI-agent query access built in.

Skip if

You need every enterprise security feature bundled in rather than purchased as separate add-ons.

What is Axiom?

Axiom is a managed data platform for logs, traces, metrics, and events that ingests data schema-less at massive scale without requiring users to run their own infrastructure. It uses its own APL query language and a highly compressed storage engine to keep unlimited-retention log data queryable and affordable, aiming to displace legacy tools like Splunk with a modern, cost-efficient alternative. Beyond raw storage and query, Axiom leans into AI-native workflows: it ships an MCP server so coding agents like Claude can query telemetry directly, and it offers a Splunk App integration for side-by-side migrations. Pricing is usage-based with a permanent free tier (500 GB/mo ingest, 30-day retention) and a $25/month Cloud plan plus usage for teams that need more scale, retention control, and enterprise add-ons like SSO and audit logs.

SpecificationsAI-estimated

deploymentCloud/SaaS
open source❌ No
api available✅ Yes
support optionsCommunity support (free tier), email support (paid), enterprise support add-ons
key integrationsOpenTelemetry, Splunk App, Vercel, Cloudflare, Kubernetes

Key Features of Axiom

Ingests logs, traces, metrics, and events without requiring an upfront schema definition.
Stores data with over 95% compression, keeping long-term retention affordable at petabyte scale.
Provides its own APL (Axiom Processing Language) query syntax for filtering, aggregating, and visualizing data.
Ships a native MCP server so AI coding agents such as Claude can query telemetry data directly during incident response.
Offers a Splunk App that lets teams run Axiom alongside an existing Splunk deployment during migration.
Supports self-serve enterprise controls including SAML SSO, role-based access control, audit logs, and directory sync as paid add-ons.
Runs as a fully managed cloud service, removing the operational burden of running your own log storage cluster.

Use Cases for Axiom

1

Centralized application logging

Collect logs from distributed services into one searchable, long-retention store.

2

Splunk cost migration

Move workloads off Splunk while keeping a similar query experience via the Splunk App integration.

3

AI-assisted incident response

Let coding agents query production telemetry through the MCP server during debugging.

4

Event and product analytics

Ingest arbitrary structured events for later analysis without predefining a schema.

Pros & Cons of Axiom

Pros

  • Permanent free tier with 500 GB/month ingest and no credit card required
  • Very high data compression keeps long-retention storage costs low
  • Native MCP support lets AI agents query observability data directly
  • Usage-based pricing avoids per-seat licensing costs common in this category

Cons

  • Enterprise security features (SSO, RBAC, audit logs, directory sync) are unbundled paid add-ons rather than included
  • APL is a proprietary query language, adding a learning curve versus SQL or PromQL
  • Documentation and tooling are less mature than long-established players like Datadog or Splunk

Frequently Asked Questions

Is there a free plan?

Yes, Axiom's Personal plan is permanently free and includes 500 GB/month of data ingest with 30-day retention.

How is Axiom priced?

Axiom Cloud charges a $25/month platform fee plus usage-based pricing for ingest, compute, and storage beyond the included allowance.

Does Axiom require me to define a schema?

No, Axiom uses schema-on-read ingestion, so you can send structured or semi-structured data without predefining fields.

Can AI agents query Axiom data?

Yes, Axiom ships a native MCP server that lets tools like Claude query telemetry data directly.

Pricing Overview

View full pricing →
Freemium

Personal

0

Axiom Cloud

25

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About the Product

Unclaimed Listing
Platforms
Target AudienceEngineering and platform teams needing scalable, cost-efficient log and event observability

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