Axiom vs JustAnalytics: Raw Event-Data Lake or Turnkey Frontend Observability
Axiom is a low-cost event and log data lake for SQL power users. JustAnalytics gives you ready-made dashboards plus replay and RUM. Honest breakdown of when each makes sense.
Last month I watched a backend engineer on our Slack workspace spend four hours building a pageview dashboard in Axiom. He queried the data. Wrote the APL. Built the visualization. Tweaked the time bucketing. Cursed at timezone handling. Then someone asked if we could see conversion funnels and he sighed audibly.
The dashboard worked. Elegant, even. But he'd reinvented what product analytics tools ship by default. And he still didn't have session replay. I felt bad for the guy — mostly because I've been that guy.
This is the Axiom tradeoff in miniature. It's a beautiful, low-cost event data lake. You can ingest terabytes of logs and query them with SQL-like syntax for a fraction of Datadog's bill. But you're buying infrastructure, not answers. The dashboards, the funnels, the session context — that's on you to build.
JustAnalytics sits at the opposite end. Turnkey. One script. Dashboards appear. Replay works. Errors get grouped. It's not as flexible (you can't run arbitrary SQL against your events), but you don't need a data engineer to get basic product insights.
I've used both. Here's the honest breakdown.
Quick Verdict
TL;DR: Axiom wins on raw query flexibility and high-volume ingest pricing. JustAnalytics wins on time-to-insight and frontend surface coverage.
If you have a data engineer who wants to own the analytics layer — build custom dashboards, run arbitrary queries, pipe events from everywhere — Axiom is phenomenal infrastructure. Cheap storage. Fast queries. OpenTelemetry-native. You'll build exactly what you need.
If you're a product team that wants pageviews, funnels, session replay, error tracking, and uptime monitoring without writing SQL, JustAnalytics ships that out of the box. One script, five surfaces, working dashboards day one.
The honest filter: Do you have someone who enjoys writing APL queries and building Grafana panels? Axiom. Do you want to install a script and see your data in pre-built views? JustAnalytics.
Feature Comparison
| Feature | JustAnalytics | Axiom |
|---|---|---|
| Event/log ingestion | Yes (structured logs, OpenTelemetry traces) | Yes (any event, any schema, massive scale) |
| Query language | Dashboard-native (click to filter, no SQL) | APL (SQL-like, powerful, requires fluency) |
| Pre-built dashboards | Yes (pageviews, funnels, errors, replay, uptime) | No (you build everything) |
| Session replay | Yes (pixel-perfect DOM replay with privacy masking) | No |
| Web analytics | Yes (pageviews, UTM, attribution, cohorts) | No (you'd query raw events yourself) |
| Error tracking | Yes (source-mapped stacks, issue grouping, rage-clicks) | Can ingest errors, but no grouping/deobfuscation |
| APM / tracing | Yes (OpenTelemetry-native, P95/P99, service maps) | Yes (OpenTelemetry-native, you build the visualizations) |
| Uptime monitoring | Yes (HTTP checks, SSL, status pages, cron alerts) | No |
| Alerting | Yes (threshold, anomaly, error spike) | Yes (notifiers, monitors, integrations) |
| Free tier | $0/mo — 100K events, 1 site, 6mo retention | $0/mo — 500GB/month, 30-day retention |
| Paid starting plan | Pro $49/mo — 1M events, all features | $25/mo — 1TB ingest |
| AI integrations | AI Command Center ($25/mo add-on) — MCP for Claude/Cursor | No dedicated AI layer |
The shape difference is obvious. Axiom is infrastructure: ingest anything, query it yourself. JustAnalytics is product: install the script, get the dashboards.
Where Axiom Wins: Query Flexibility and Ingest Cost
Axiom is a data lake for events. That's the entire product thesis.
APL queries are powerful. If you know SQL, you'll pick up APL in an afternoon. Maybe two if you're stubborn like me and refuse to read docs first. Filter by any field. Aggregate however you want. Join across datasets. Build exactly the dashboard you need for your specific question. No product manager decided what metrics you can see — you query raw events.
I've seen teams use Axiom for things JustAnalytics can't do: correlating Kubernetes pod restarts with frontend error spikes, querying raw payment webhook events to debug Stripe edge cases, building custom retention cohorts with 47 dimensions because their product manager asked for it. SQL flexibility wins when your questions are weird.
Ingest pricing is aggressive. The free tier gives you 500GB/month with 30-day retention. That's a lot of logs. Paid plans start at $25/mo for 1TB. For pure log volume at scale, Axiom undercuts Datadog by an order of magnitude. If your main problem is "we have too many logs and Datadog costs $40K/month," Axiom is the obvious answer.
OpenTelemetry-native from day one. Point your OTel collector at Axiom's endpoint. Done. Traces, metrics, logs — all queryable. No vendor-specific SDK required. This matters if you're standardizing on OpenTelemetry (and you probably should be — it won the standards war). See our OpenTelemetry integration guide for setup details.
Schema-less flexibility. Send whatever JSON you want. Axiom figures out the fields. No schema migrations, no field type conflicts. When you're piping events from 15 different microservices with different schemas, this flexibility is a relief.
The catch: You're buying infrastructure, not product. Every dashboard is a custom build. Every alert is a query you wrote. If you want "show me pageviews by country" and you haven't built that query yet, you write it yourself. I've watched this bite teams hard — the data's there, sitting in the lake, but nobody has time to surface it. Three months later someone asks "do we even use Axiom?" and the answer is "we pay for it."
Where JustAnalytics Wins: Time-to-Insight and Frontend Coverage
JustAnalytics isn't a query engine. It's an opinionated observability product for frontend teams.
Dashboards exist on day one. Add the script. Deploy. See pageviews, top pages, traffic sources, geographic distribution. No queries. No dashboard building. Product managers can look at the data without asking engineering to construct a view. (Yeah, this sounds basic. But I've watched too many Axiom deployments where the data sat there for months because nobody had time to build the dashboards.)
Session replay is bundled. When a user reports "the checkout page is broken," click into the session and watch what happened. DOM replay with privacy masking. Rage-click detection. Link errors to the specific session where they occurred. Our session replay privacy guide covers the technical implementation. Axiom can ingest your frontend events, but it can't replay the DOM. You'd need LogRocket or FullStory alongside it — and now you're back to multiple tools.
Error tracking with context. Source-mapped stack traces. Issue grouping so you're not drowning in duplicates. And here's the key: errors link to sessions. Find the error, click through, watch the user hit it. Axiom can store your errors, but the grouping, deobfuscation, and session linking? That's on you to build. Or add Sentry. Or add Highlight. Another tool.
Uptime and cron monitoring included. HTTP endpoint checks. SSL certificate monitoring. Missed cron alerts. Status pages. Axiom is not an uptime tool — you'd add Pingdom or Better Stack. JustAnalytics bundles it.
Five tools, one script, under 5KB. Analytics, errors, APM, replay, uptime. The consolidation argument isn't about cost alone (though $49/mo versus five separate tools adds up). It's about correlation. One session ID across all surfaces. One place to look at 3am when everything is on fire and you really don't want to tab between six dashboards. We covered why consolidation matters for on-call in a previous post.
Look, I'll be honest: JustAnalytics is more opinionated than Axiom. You can't run arbitrary SQL. The dashboards show what we decided they should show. That's the tradeoff. Some days I wish we had Axiom's query flexibility. Most days I'm glad I don't have to maintain custom dashboards.
The Real Question: Build or Buy the UX Layer?
This is the core tradeoff. Not features. Not pricing. Philosophy.
Axiom says: Here's a phenomenal query engine. Ingest anything. Query anything. Build exactly what you need.
JustAnalytics says: Here's what most frontend teams need. Dashboards done. Replay done. Errors done. Trade flexibility for speed.
If your team has a data engineer who wants to own the analytics layer — someone who finds joy in writing APL queries and building Grafana dashboards — Axiom is excellent infrastructure. You'll build custom views that fit your weird use cases perfectly. And you'll pay less for high-volume ingest than almost anywhere else.
If your team wants to install a script and see working dashboards tomorrow — if nobody wants to maintain custom query logic — JustAnalytics skips that work entirely. The dashboards are opinionated, but they exist.
Some teams do both. Use Axiom as the log data lake for backend infrastructure. Use JustAnalytics for frontend observability. They serve different layers of the stack.
Pricing Breakdown (as of July 2026)
JustAnalytics:
- Free: $0/mo — 1 site, 100K events/mo, 6mo retention. Analytics only.
- Pro: $49/mo ($39/mo annual) — 5 sites, 1M events/mo, 1yr retention. Errors, replay, APM, uptime, logs.
- Enterprise: custom — unlimited. SSO/SAML, SLA, dedicated infrastructure.
- AI Command Center: $25/mo add-on (requires Pro+).
Axiom:
- Free: $0/mo — 500GB/month ingest, 30-day retention.
- Team: $25/mo — 1TB ingest, 60-day retention.
- Cloud: Custom — higher volumes, longer retention, support SLAs.
The math depends on what you're replacing.
If you only need a log data lake and you have engineers to build dashboards, Axiom's $25/mo for 1TB is hard to beat. Datadog charges multiples of that for equivalent volume.
If you'd otherwise need GA4 plus Sentry plus LogRocket plus Pingdom, JustAnalytics Pro at $49/mo consolidates five bills. Our cost breakdown post walks through the specific savings.
Who Should Pick What
Data teams that want query flexibility: Axiom. You'll write APL, build custom dashboards, and have full control over the analytics layer. If "I want to run arbitrary SQL on my events" sounds exciting rather than exhausting, Axiom is your tool.
Product teams that want answers fast: JustAnalytics. Pre-built pageview dashboards. Conversion funnels. Session replay. No query writing. If "I want to see pageviews by country" and waiting for someone to build a dashboard sounds frustrating, JustAnalytics ships that view.
High-volume log ingestion on a budget: Axiom. 500GB free, $25/mo for 1TB. Hard to beat if raw log storage is your primary need. Our observability pricing breakdown covers more alternatives.
Frontend-heavy teams needing replay: JustAnalytics. Axiom doesn't do session replay. You'd add LogRocket or Highlight alongside it, which defeats the consolidation goal.
SRE teams standardizing on OpenTelemetry: Both work. Axiom accepts OTel traces and lets you query them raw. JustAnalytics accepts OTel traces and shows them in pre-built service maps. Pick based on whether you want to build or buy the visualization layer.
Early-stage startups without data engineers: JustAnalytics. Real talk: Axiom assumes someone will build the UX. If that person doesn't exist on your team, the data sits unqueried. I've seen this movie. It ends with "we should really look at that Axiom data sometime" in every standup for six months.
Our Honest Take
Axiom is excellent infrastructure. I respect what they've built: a fast, cheap, schema-less event store with a powerful query language. For teams that want to own their analytics layer — build every dashboard, write every query — it's one of the best options available. And the pricing makes Datadog look absurd.
But Axiom is infrastructure, not product. When the product manager asks "what's our conversion rate?" and nobody has built that query yet, you're writing APL before you get an answer. When a user reports a bug and you want to see what they did, Axiom shrugs. No replay.
JustAnalytics trades flexibility for speed. You can't run arbitrary SQL. You can't pipe Kubernetes events into it. But the dashboards exist. The replay works. The errors get grouped. For frontend teams that want working observability without a data engineering project, that's the value.
The question isn't which is "better." It's whether you want to build or buy the UX layer on top of your event data. Some teams genuinely prefer building — and Axiom is great for them. Some teams want answers today — and JustAnalytics skips the build phase.
We compete on different surfaces. Axiom is a data lake. We're a dashboard. Pick based on which problem you're actually solving.
(And yeah, this is a comparison post on our own blog, so obviously we think JustAnalytics wins for most frontend teams. Take the bias into account. If you're a data engineering team that genuinely wants to own the query layer, Axiom might be exactly right for you.)
For more comparisons, see our posts on Datadog alternatives and consolidating five observability tools. If you're running paid campaigns, ClickzProtect handles click fraud detection with similar event-correlation patterns.
Frequently Asked Questions
Does Axiom have session replay or web analytics dashboards?
No. Axiom is a raw event data lake — you query it with APL (their SQL-like language) and build your own visualizations. It doesn't ship with product analytics dashboards, conversion funnels, or session replay. JustAnalytics includes all of those out of the box with the Pro plan at $49/mo.
Is Axiom cheaper than JustAnalytics for high-volume logs?
For pure log ingestion at scale, often yes. Axiom's free tier includes 500GB/month and 30-day retention. Their paid plans start at $25/mo for 1TB. JustAnalytics Pro is $49/mo for 1M events including logs, but also bundles analytics, replay, errors, APM, and uptime. Axiom wins on raw ingest cost if you only need queryable logs.
Can I use Axiom for frontend error tracking like Sentry?
You can ingest frontend errors into Axiom, but you'd build the grouping, alerting, and source-map deobfuscation yourself. Axiom is infrastructure — it stores and queries events. It doesn't have Sentry-style issue grouping or session replay context. JustAnalytics handles source-mapped stack traces, issue deduplication, and links errors to session replays.
Which is better for a team without dedicated data engineers?
JustAnalytics. Axiom requires SQL fluency and custom dashboard building — it's powerful but assumes you'll construct the UX layer. JustAnalytics ships with pre-built dashboards for pageviews, funnels, errors, uptime, and replay. If you don't have a data engineer writing APL queries, JustAnalytics gives you answers faster.
Try JustAnalytics
All-in-one observability in one under-5KB script: cookieless analytics + error tracking + APM + session replay + uptime + structured logs. Replaces GA4 + Sentry + Datadog + Pingdom + LogRocket. Free tier (100K events/mo), Pro $49/month ($39 annual).
Author at JustAnalytics.