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Axiom

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Axiom is a managed machine data platform for ingesting, retaining, querying, and monitoring logs, metrics, traces, and events at high volume. It helps engineering and operations teams analyze telemetry without running a self-managed event store.

What is Axiom?

Axiom is a fully managed machine data platform for ingesting, storing, querying, and monitoring logs, metrics, traces, and events. Its schema-less ingest and schema-on-read event store let teams keep raw telemetry and shape it at query time, avoiding ingest-time schema decisions and separately managed indexes.

The platform brings datasets, queries, dashboards, monitors, and alerting into one workspace. APL (Axiom Processing Language) is a piped, sequential language for logs, events, and traces; MPL is used for metrics. Query-time virtual fields, joins, and scheduled queries support investigation and recurring analysis.

Axiom is positioned for observability and other high-volume machine-data workloads, including incident investigation, application and infrastructure monitoring, and telemetry retention. It is managed by Axiom rather than operated as a self-managed event-store cluster.

What can Axiom do?

Schema-less ingest and event storage

Ingest machine data without committing to a fixed schema at collection time. The schema-on-read model supports retaining raw fields and transforming them when they are queried.

APL and MPL query languages

Use APL for logs, events, and traces with piped, sequential queries, and MPL for metrics. APL is also available to AI agents through Axiom’s native MCP server.

Query-time analysis tools

Virtual fields, joins, and scheduled queries support derived values, correlated analysis, and repeatable query workflows without requiring separate ingest-time transformations.

Unified observability workspace

Work with datasets, query results, dashboards, monitors, and alerts in the same platform for investigating telemetry and tracking operational conditions.

Usage-based plans and cost controls

Axiom Cloud combines a platform fee with usage pricing, automatic volume discounts, configurable retention, spend alerts, hard caps, and optional pre-purchased compute credits. A permanent free Personal plan is also available.

Governance and compliance options

Axiom Cloud offers self-serve SAML SSO, role-based access control, Directory Sync, Extended Audit Logs, regional residency, and a HIPAA BAA add-on. The pricing page states SOC 2 Type II, ISO 27001, and GDPR coverage.

Use Cases

“Incident investigation”

Search retained logs, events, and traces with APL to examine failures, latency changes, status-code spikes, and related dimensions in a single workflow.

“Application and infrastructure observability”

Collect telemetry from distributed services, containers, cloud infrastructure, and edge systems, then use datasets, dashboards, monitors, and alerts to follow system behavior.

“High-volume telemetry retention”

Keep raw machine data for log-retention and compliance-oriented workloads while using configurable retention and query-time fields instead of relying on sampled or pre-shaped data.

“AI-assisted operational queries”

Connect AI agents through the native MCP server so they can query Axiom data using the platform’s supported query workflow.

“Multi-team machine-data analysis”

Use governance add-ons such as SSO, RBAC, Directory Sync, and audit logs when multiple teams need controlled access to shared observability data.

Frequently Asked Questions

What types of data can Axiom handle?

The source describes Axiom as a platform for logs, metrics, traces, and events. It also shows ingestion and datasets associated with OpenTelemetry, Vector, Fluent Bit, AWS services, Kubernetes, CI/CD, and other telemetry sources.

What is APL used for?

APL, or Axiom Processing Language, is a piped, sequential query language for logs, events, and traces. The platform describes it as schema-on-read and makes it queryable by AI agents through its native MCP server.

Does Axiom offer a free plan?

Yes. The Personal plan is listed at $0 per month permanently, requires no credit card, includes a stated allowance for data loading compute, query compute, and storage, and provides a 30-day retention window.

How is Axiom Cloud priced?

Axiom Cloud is listed with a $25 monthly platform fee plus usage. The plan includes an allowance for data loading compute, query compute, and storage, with automatic volume discounts beyond the allowance. The pricing page also lists configurable retention and self-serve add-ons.

Which team and compliance controls are available?

The pricing source lists SAML SSO, RBAC, Directory Sync, Extended Audit Logs, regional residency, and a HIPAA BAA add-on. It also states that Axiom has SOC 2 Type II and GDPR compliance and ISO 27001 certification.

Quick Facts

Category
Machine data platform and observability
Primary data
Logs, metrics, traces, and events
Query languages
APL for logs, events, and traces; MPL for metrics
Deployment model
Fully managed cloud service
Notable integrations
OpenTelemetry, Vector, CloudWatch, AWS, Kubernetes, and CI/CD; Splunk listed in preview
Product website
axiom.co

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