Axiom

Store and explore event data and logs with fast queries and dashboards.

eventslogs
Websiteaxiom.co
CategoryAnalytics
PricingFreemium
Card requiredNo

ABOUT

What is Axiom?

Axiom is a log and event storage platform that combines fast queries, dashboards and alerting into a single service. It is designed for developers who need to store and explore structured log data without managing infrastructure. Axiom positions itself as an alternative to Elasticsearch and Splunk with simpler pricing and setup.

BEFORE YOU SIGN UP

What you should know

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Compute-and-storage pricingAxiom meters data-loading compute, query compute and stored data. The paid Cloud plan adds an included Always Free allowance before usage charges.
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Generous free tierPersonal includes 500 GB/month of data-loading compute, 10 GB-hours of query compute, 25 GB storage and 30-day retention.
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Smaller integration ecosystemFewer native integrations than Elasticsearch or Datadog. Community-built integrations are limited.

COMMUNITY

From the forums

Axiom gets modest but positive mentions on r/devops, mainly from developers who appreciate the straightforward pricing and fast query performance. Some users note that the free tier is generous enough for side projects and low-volume production. The main drawback cited is that the query language has a learning curve and fewer ecosystem integrations than Elasticsearch.

— Community sentiment

ABOUT US

Honest, independent, no fluff.

No paid placements. Just a clear look at what this does, what it costs, and what to know before you commit.

Read more→

FAQ

Questions, answered.

Is Axiom free to use?+

Yes. Personal is permanently free with 500 GB/month data-loading compute, 10 GB-hours query compute, 25 GB storage and 30-day retention.

How does Axiom compare to Elasticsearch?+

Axiom is fully managed and simpler to set up with no cluster management. Elasticsearch offers more flexibility and a larger ecosystem but requires more operational overhead.

Is Axiom good for log management?+

Yes, Axiom is designed for structured logs and event data. The query engine handles large datasets quickly and the dashboards are suitable for operational monitoring.