Axiom vs Grafana for Solo Developers

Quick Comparison

Axiom Overview

Axiom is a managed log and event data platform built around one core idea: store everything cheaply, query it when you need it. There's no sampling, no aggressive retention limits on the free tier, and no per-host pricing. You send your logs, metrics, and traces to Axiom datasets and query them using APL (Axiom Processing Language, similar to Kusto/KQL).

The free tier gives you 500 GB of ingest per month with 30 days of retention. That's a lot of data. For most solo developer projects, you could log everything your application produces and never come close to the limit. The dashboards are functional, the alerting works through monitors and notifiers, and the query experience is fast even on large datasets.

I started using Axiom because I needed a place to send application logs without paying a fortune. The query language took me a couple of hours to learn, but now I can slice and dice log data quickly. For the price (free), I can't complain.

Grafana Overview

Grafana is the open-source visualization platform that anchors monitoring stacks everywhere. It connects to data sources like Prometheus (metrics), Loki (logs), Tempo (traces), PostgreSQL, InfluxDB, and many more. You build dashboards that visualize your data exactly the way you want.

The ecosystem goes beyond dashboards. Self-host Grafana with Prometheus and Loki, and you have a complete observability stack for free. Or use Grafana Cloud, which bundles managed versions of these tools. The cloud free tier includes 10,000 active metrics, 50 GB of logs, and 50 GB of traces per month.

I run self-hosted Grafana on my server. Setting up the Prometheus + Loki + Grafana stack took about an hour with Docker Compose. Now I have full metrics dashboards, log search, and alerting. The community dashboard templates give you a head start, and the flexibility to build custom panels means you can visualize anything.

Key Differences

Managed vs self-hostable. Axiom is SaaS only. You send data to their platform and query it there. Grafana can be self-hosted for free (you own everything) or used as a managed cloud service. If you have a VPS and want to own your monitoring stack, Grafana gives you that option. Axiom doesn't.

Scope. Axiom focuses on log and event data analytics. It's very good at ingesting, storing, and querying large volumes of structured data. Grafana is a broader platform. With Prometheus, you get system metrics. With Loki, you get logs. With Tempo, you get traces. Grafana ties it all together in one dashboard. The scope is wider but the setup is more involved.

Metrics monitoring. Grafana + Prometheus gives you time-series metrics out of the box. CPU usage, memory, disk I/O, custom application metrics. Axiom treats logs and events as its primary data type. Its main query language, APL, explicitly cannot query metrics, so Axiom added a separate metrics path with its own language, MPL. That split is telling. Logs and events are the core, metrics are the newer bolt-on. For monitoring server health with real-time graphs, Grafana + Prometheus is still the more natural fit.

Log management. Both handle logs well, but differently. Axiom's Personal free tier includes 500 GB of data loading per month against Grafana Cloud's 50 GB of free log ingest, a tenfold difference in raw free volume. Retention also differs on the free plans. Axiom holds data for 30 days, while Grafana Cloud Free keeps everything for 14 days. Axiom's APL queries are powerful for log analytics. Grafana's Loki uses LogQL, which is based on PromQL but capable on its own. For pure log volume and retention on a free tier, Axiom wins. For correlating logs with metrics on a dashboard, Grafana wins.

Query languages. Axiom uses APL (similar to Kusto/KQL). Grafana uses PromQL for metrics and LogQL for logs. All three have learning curves. If you've used Azure Data Explorer, Axiom's APL will feel familiar. If you've worked with Prometheus, PromQL is already in your toolkit.

Dashboard building. Grafana is the clear winner for dashboards. The panel system is flexible, beautiful, and connects to any data source. Axiom has dashboards, but they're more functional than beautiful. If you care about visualizing your data in custom ways, Grafana is designed for that.

Setup effort. Axiom takes minutes. Sign up, get an API key, start sending data. Grafana (self-hosted) takes an afternoon. Install Grafana, Prometheus, and Loki, configure scrape targets, build dashboards. Grafana Cloud falls somewhere in between. If speed matters, Axiom gets you running faster.

By the Numbers (2026)

The marketing copy on both sites moves around, so here are the figures pulled straight from the pricing pages and the GitHub API, all checked on 2026-05-28.

Axiom (closed SaaS, no public version number)

• Personal (free): 500 GB of data loading per month, 25 GB of storage, 10 GB-hours of query compute, 30-day maximum retention, 2 datasets, 1 user. No credit card required.
• Axiom Cloud (paid): from $25/month base, which includes 1,000 GB of data loading, 100 GB-hours of query compute, and 100 GB of storage. Overages run roughly $0.06 to $0.12 per GB loaded, $0.08 to $0.20 per GB-hour of query compute, and $0.030 per GB-month of compressed storage, with the per-unit rate dropping as volume rises.
• Query languages: APL for logs and events, MPL for metrics. APL is pipe-delimited and reads like Kusto/KQL.

Grafana (open source, Apache-2.0)

• Grafana 13.0.1 is the current stable release, shipped 2026-04-17, with a security patch (v13.0.1+security-01) on 2026-05-12. Primary language: TypeScript.
• GitHub stars at time of writing: Grafana 74,013, Prometheus 64,180, Loki 28,260, Tempo 5,284. Prometheus, Loki, and Tempo are all written in Go. Prometheus 3.12.0 and Tempo 3.0.0 are the current releases, with Loki at 3.7.2.
• Grafana Cloud Free: 10,000 active metrics series, 50 GB of logs, 50 GB of traces, 50 GB of profiles, all at 14-day retention, plus 3 users. No credit card required.
• Grafana Cloud Pro: from $19/month base (includes 3 users), then $6.50 per 1,000 series for metrics and $0.40 per GB to write logs and traces (plus $0.05 per GB to process and $0.10 per GB-month to retain). Pro stretches metrics retention to 13 months and logs to 30 days.

The headline gap for a free user is volume. Axiom hands you 500 GB of monthly data loading on the free plan, ten times Grafana Cloud's 50 GB of free logs, and it keeps that data twice as long (30 days versus 14).

Real Cost at Solo-Dev Scale

Free tiers are great until you cross them, so here is what a modest but real workload actually costs. Assume a solo dev running a small SaaS that produces about 75 GB of application logs per month plus around 4,000 active metrics series for server and app health, and who wants 30-day log retention. The metrics and traces volumes here sit inside both free tiers; logs are the line you cross.

Axiom. 75 GB of monthly data loading is well under the 500 GB Personal free allowance, and 30-day retention is exactly the free cap. At this workload Axiom costs $0 per month. You would only start paying once you cross 500 GB of loading per month or want retention past 30 days, at which point Axiom Cloud begins at $25/month.

Grafana Cloud. 4,000 metrics series fit inside the 10,000 free series, but 75 GB of logs exceeds the 50 GB free allowance by 25 GB, and 30-day log retention exceeds the 14-day free window. That pushes you onto Pro at $19/month base. The 25 GB of overage logs cost about $0.40 to write, $0.05 to process, and $0.10 to retain per GB, so roughly $0.55 per GB times 25 GB, which is about $13.75. Total is near $32.75 per month, before any traces overage.

Self-hosted Grafana. Run Grafana, Prometheus, and Loki on a VPS you already own and the software is free. The real cost is the box and your time. A small VPS that comfortably holds this stack runs roughly $5 to $12 per month depending on provider, and you absorb the setup and upkeep yourself.

So at this specific workload the cheapest managed option is Axiom at $0, the most flexible managed option is Grafana Cloud at around $33, and the most-control option is self-hosted Grafana at the price of a small server plus your weekend. Recheck the per-GB rates before you commit, because both vendors revise them.

When to Choose Axiom

• You need generous free-tier log storage (500 GB/month)
• You want a managed service without self-hosting anything
• Log analytics and querying are your primary needs
• You prefer fast setup over deep customization
• Data retention matters and you want 30 days without paying extra

When to Choose Grafana

• You want to self-host your entire monitoring stack for free
• You need metrics monitoring (CPU, memory, custom app metrics) alongside logs
• Dashboard flexibility and custom visualizations matter
• You want to correlate metrics, logs, and traces in one interface
• You already have a server and enjoy building infrastructure

The Verdict

This is a close one. Both are excellent tools for solo developers, and the right choice depends on what you're building and how you like to work.

If you mainly need log management and want it to be easy, go with Axiom. The free tier is absurdly generous, the setup is quick, and the query language is powerful. You can send all your application logs to Axiom and search through them whenever something goes wrong.

If you want a complete observability stack with metrics dashboards, log search, and the ability to visualize everything in custom panels, go with Grafana. Self-hosting it is free, and the power you get from the Prometheus + Loki + Grafana combination is hard to beat.

My actual approach: I self-host Grafana with Prometheus for server metrics and use it for dashboards. For application logs where I want longer retention and simpler querying, I ship them to Axiom. Using both plays to each tool's strength. Grafana for visualization and real-time metrics, Axiom for log storage and analytics.

If picking just one, I'd lean toward Grafana for the broader coverage. But Axiom is the faster path to "my logs are searchable somewhere."

Sources

All figures checked on 2026-05-28.

• Axiom pricing, Personal and Axiom Cloud tiers: https://axiom.co/pricing
• Axiom APL overview (logs and events, cannot query metrics): https://axiom.co/docs/apl/introduction
• Axiom MPL overview (metrics query language): https://axiom.co/docs/mpl/introduction
• Grafana pricing, Cloud Free and Pro tiers: https://grafana.com/pricing/
• Grafana repo and stars (74,013), language TypeScript: https://github.com/grafana/grafana
• Grafana 13.0.1 release (2026-04-17): https://github.com/grafana/grafana/releases/tag/v13.0.1
• Prometheus repo and stars (64,180), language Go: https://github.com/prometheus/prometheus
• Loki repo and stars (28,260), language Go: https://github.com/grafana/loki
• Grafana Loki query language (LogQL): https://grafana.com/docs/loki/latest/query/
• Grafana Cloud query languages (PromQL, LogQL, TraceQL): https://grafana.com/docs/grafana-cloud/telemetry-signals/query-visualize-data/visualize-query/learn-query-languages/