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Enterprise Layer Intelligence
Categories/APM & Observability/Axiom
Axiom

Axiom

Founded 2020

Ingest, store, and query high-volume machine logs and telemetry data at petabyte scale

Pricing model

Paid

You can use Axiom to ingest, store, and analyze massive volumes of machine data, logs, and telemetry without managing self-hosted database clusters. It allows engineering teams to send raw events with schema-on-read querying, eliminating painful ingest-time schema migrations and indexing maintenance. You can write piped queries using APL and MPL to quickly inspect server errors, calculate latency percentiles, and build real-time monitoring dashboards. Axiom also integrates with AI agents via a native Model Context Protocol server, letting automated workflows inspect incidents directly.

What Axiom does

Run piped queries to isolate status codes and failed requestsMonitor real-time event streams from distributed container clustersBuild visual dashboards to track system performance metricsConnect Claude and AI agents to telemetry data via MCPConfigure alerts and monitors for anomalous system eventsIngest logs from OpenTelemetry collectors, Vector, and Fluent BitIngests petabyte-scale event data without requiring predefined schemasCompresses stored machine data by over ninety-five percentUses sequential piped query languages for logs and metricsTransforms data on read using virtual fields instead of rigid indexesConnects to AI agents via native Model Context Protocol supportProvides live stream viewers and customizable analytics dashboards

Pricing breakdown

Pricing model: Paid

PlanList price
Axiom Cloud$25 / mo

Frequently asked

VectorVectorGitHubGitHubAWS LambdaAWS LambdaVercelVercelSplunkSplunk

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Axiom, log management, telemetry, observability, machine data, APL query, metrics engine, OpenTelemetry, schema-less ingest, event store, log analysis, SRE, incident investigation, MCP server, serverless monitoring