Analytics and monitoring decision

Axiom

A small team can build a narrow self-hosted logs+query+dashboards replacement, but Axiom's scale-oriented infrastructure and audited compliance posture are durable advantages that are costly to reproduce, so keeping the paid managed product is reasonable for production-scale or compliance-bound workloads.

Visit website

You pay

$25/mo

$300/yr

Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$400/mo20 h/mo upkeep

On cash alone, building overtakes the subscription at 17 seats.

The code exists. It is not what you are paying for.

These 2 projects are real, published, and do the core job — and this page still says keep paying. What the subscription buys is infrastructure at scale and compliance and regulation, and none of that ships in a repository. Fork one anyway if you want to. Go in knowing what it does not carry. What stays hard ↓ · All Axiom alternatives, with the arithmetic →

openobserve/openobserve20,583AGPL-3.0Open source observability platform for logs, metrics, traces, pipelines, and a single-binary deployment with UI.Open on GitHub hyperdxio/hyperdx9,800MITOpen observability platform unifying session replay, logs, metrics, traces, and alerts powered by ClickHouse and OTel.Open on GitHub

Code Axiom publishes itself

Not a way out of the subscription - these are the vendor’s own repositories. Worth a look for how they build, and for anything you would have to integrate with.

What a replacement has to do

Accept event/log telemetry, store compressed events, provide a queryable API and web UI for ad-hoc queries and dashboards, and run alerting/monitors.

What it still won’t have

Managed petabyte-scale infrastructure and operational effort
Serverless ephemeral query runtimes and Axiom's proprietary EventDB/MetricsDB optimizations
Automatic volume-discounted usage pricing and built-in spend controls
Self-serve enterprise compliance artifacts/certifications (SOC 2, ISO 27001, HIPAA BAA) out of the box
Built-in AI agent features (MCP server and SRE/metrics skills) integrated into the platform

What remains hard

Infrastructure at scalePetabyte-scale, schema-less ingest on a fully managed event store
Compliance and regulationSOC 2 Type II Independently audited security controls with reports available in our Trust Center.

Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 17 seats.

Paid seatsseats

Money you would actually spend

Keep paying

—

Subscription price × seats × 12

Build it

—

AI build —APIs + hosting —

Time you would spend

—

What you would spend

AI to build it$ onceAPIs + hosting$/mo

What we assumed

Initial buildhrsMonthly upkeephrsYour rate$/hr

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet

Build a minimal self-hosted machine-data platform using: React (console), a small Go/Node API, ClickHouse for hot queryable storage, S3 for long-term storage, and Vector/Fluent Bit for ingestion. In scope: HTTP/OTel ingestion endpoints, append-to-S3 for raw events, transform pipeline to write to ClickHouse, a REST query API that accepts a simple pipe-based query language subset (filter, group, aggregate), a React UI to run/save queries and basic dashboards, and a scheduled job runner for threshold alerts via webhooks/Slack/email. Out of scope: multi-region residency, enterprise SSO/SCIM, automatic volume-discount billing, and custom compression formats. Deliver with error handling, retries on ingestion failures, basic auth for the API, infrastructure-as-code (Terraform) to provision ClickHouse + S3 on a single cloud region, and unit + integration tests for ingestion, query, and alerting paths.

How we checked5 sources · 2/3 runs agreed · evidence score 25

How the score was reached

Pay verdict base20
An open-source build was found+5
5 cited sources+3
Price verified on pricing page+3
Hard moats found in the evidence-6
Evidence score25

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

official productAxiom — official product
official pricingAxiom Pricing
official docsAxiom Docs — What is Axiom?
open sourceopenobserve/openobserve
open sourcehyperdxio/hyperdx

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 2 moats quoted from the page