Axiom provides a fully managed, schema-less event store for querying petabyte-scale logs, traces, and metrics using APL and MPL.

Axiom

Axiom Product Information

What is Axiom?

Axiom is a fully managed machine data platform for ingesting, storing, and querying logs, traces, metrics, and events at petabyte scale. It uses schema-less ingestion with query-time transformation, removing the need to define schemas or manage indexes before writing data. A public playground allows running queries on shared datasets without creating an account.

What are the features of Axiom?

  • Schema-less event store
    Ingests logs, traces, metrics, and events without predefined schemas, applying virtual fields for transformation at query time rather than ingest time.
  • Query languages (APL and MPL)
    Provides APL for sequential log processing and MPL for metrics, both supporting piped syntax usable by engineers and AI agents.
  • Native MCP server
    Exposes SRE and metrics skills so AI agents can query observability data using the same APL and MPL primitives as human users.
  • Dataset library
    Organizes ingested telemetry into named datasets such as otel-collector, nginx-access-logs, and lambda-invocations for targeted querying.
  • Public query playground
    Allows running APL queries against shared datasets like http-logs directly in the browser without signing in.

What are the use cases of Axiom?

  • Parallel Splunk migration
    The Splunk App routes orphan workloads such as dev, staging, or marketing event data to Axiom alongside an existing Splunk deployment without renegotiating contracts.
  • AI-assisted incident diagnosis
    An AI agent connected via the native MCP server can investigate latency spikes by running APL queries against production datasets during on-call rotations.
  • Serverless telemetry analysis
    Ingests OpenTelemetry traces and AWS Lambda invocation events into dedicated datasets to monitor distributed service performance.

How to use Axiom?

  1. Open the playground
    Navigate to the public APL Playground from the web interface; no account is required.
  2. Select a dataset
    Choose a shared dataset such as http-logs from the available options.
  3. Write or generate a query
    Enter an APL pipeline manually or use the ⌘ K shortcut to generate one from a natural language prompt.
  4. Run the query
    Execute the statement to view matching events and result visualizations in the browser.

Axiom Pricing Information:

  • Free tier
    Permanent free access with no credit card required for sign-up.
  • Usage-based billing
    Charges based on data volume with automatic discounts at higher tiers; per-unit rates drop as usage increases. The pricing estimator shows 1.0 TB per month of ingest at $25.

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Axiom Related Other Categories

Axiom Traffic Analysis

Website traffic estimates for axiom.co. Visits are not unique users or product usage.

💡 Insights

⭐
Medium Scale
100K-1M monthly visits. Growing tool with active development.
⚠️
Slight Decline
Traffic has slightly decreased recently.
💎
High Stickiness
Low bounce rate (36%) and deep engagement (4.1 pages/visit). Excellent user experience.
🎯
Strong Brand
75% direct traffic. High user loyalty.
  • Monthly Visits

    226.98K

  • Bounce Rate

    35.52%

  • Pages Per Visit

    4.09

  • Visit Duration

    00:04:32

  • Global Rank

    171219

  • Country Rank

    90929

Visits Over Time

Traffic Sources

Direct74.58%
Search Organic16.15%
Social Organic2.65%
Referrals2.53%
Gen Ai2.01%
Mail1.57%
Search Paid0.35%
Display Ads0.15%
Social Paid0.01%
Affiliate0.00%

Top Keywords

1
axiom
CPC$1.17
10.65KTraffic
2
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CPC$10.50
810Traffic
3
axiom mcp
790Traffic
4
how to show anomalies on charts in axiom
650Traffic
5
axiom login
CPC$0.51
590Traffic

Top Regions

RegionPercentage
United States
United States
50.54%
Egypt
Egypt
10.67%
India
India
4.11%
Brazil
Brazil
2.82%
Czechia
Czechia
2.61%
Low
High

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Axiom FAQ

Do I need to create an account to test queries?

No. The public playground lets you run APL queries against shared datasets without signing in.

Does Axiom require defining schemas before ingesting data?

No. Ingestion is schema-less, and virtual fields allow you to transform and structure data at query time instead.

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