Axiom
Axiom is a fully managed machine data platform for ingesting and querying petabyte-scale, schemaless event data such as logs, with usage-based pricing and a permanent free tier.
About Axiom
Axiom is a machine data platform that provides a fully managed event store supporting petabyte-scale, schemaless data ingestion with over 95% compression. Its core use case is log management: it keeps every log line and every field for as long as you need, without requiring you to build and maintain your own clusters. Its architecture is built for streaming data and determines schema at read time (schema-on-read), supporting virtual fields that can be transformed at query time — there is no index management and no need to make schema decisions at write time that you might regret later. The product also includes capabilities such as queries, Streams, Dashboards, Monitors, and Datasets — for example, filtering payment events by type and tallying failed ones by rejection reason. Pricing is usage-based: logs, traces, metrics, and events share the same usage billing dimension, the unit rate decreases as volume grows, and a permanent free tier is available.
Best for
Best use cases
Centrally manage production logs with filtered and aggregated queries by event type and field
Handle logs, traces, metrics, and event data together under a single usage-based billing model
Retain complete machine data long term without operating your own clusters
Features
Petabyte-scale log storage
Ingest petabyte-scale, schemaless data into a fully managed event store with over 95% compression, keeping every log line and every field for as long as you need.
Schema-on-read queries
A streaming, schema-on-read architecture with virtual fields that can be transformed at query time — no index management and no schema decisions required at write time.
Querying and visualization
Built-in capabilities such as queries, Streams, Dashboards, Monitors, and Datasets let you query and analyze your ingested event data directly.
Pros
- Fully managed event store with petabyte-scale, schemaless ingestion, over 95% compression, and no clusters to build yourself
- Logs, traces, metrics, and events share a single usage-based billing dimension — no complex SKU tiers or overage bands
- Usage-based pricing with automatic volume discounts, unit rates that fall as usage grows, and a permanent free tier