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.

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Subscription$25/month ✓ verified
Initial build80 hours
Monthly upkeep20 hours + $400
Evidence2/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

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 ischeaper 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

What we assumed

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.

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