SOLUTIONS / LOG MANAGEMENT
Keep every byte at petabyte scale, on a fully managed event store with pricing that grows sub-linearly with your volume. No sampling, no DIY clusters, no SKU gating visibility.
THE STATUS QUO
Every way teams try to control log cost at scale trades visibility, engineer-hours, or query power for the savings. Here's where each one lands.
Standard Indexing gates visibility itself: data loaded but unindexed only appears in Live Tail, not Log Explorer. The bill grows with both ingestion and indexing, so the answer to scale is sampling. Bundled SKUs make spend modeling guesswork.
Powerful for cost control, but you become the platform team for it: capacity planning, schema decisions, query-node provisioning, and on-call rotation for the log stack itself.
Same DIY tradeoff. Modern columnar backend, but the operational drag (NVMe sizing, S3 tiering, schema migrations) shows up in engineer-hours rather than vendor cost.
Adequate for AWS-native workloads at lower volumes. Performance and analytics depth fall behind at multi-TB/day; pricing isn't built for ingest-heavy patterns.
The cost-control patterns most teams resort to. They keep the bill survivable but turn incident debugging into a guessing game about whether the field you need survived.
OUR ANSWER
THE PLATFORM
Axiom is the modern machine data platform built for the volumes hypergrowth produces. The event store is petabyte-scale, schema-on-read, with 95%+ compression on real workloads. No indexes to manage at ingest, no SKU gating visibility after load: every log you load is queryable in APL on day one. Query compute is serverless and scales on demand, so the cost of asking the question only shows up when you ask.
THE PRICING
Pricing is usage-based with automatic in-console volume discounts. Per-unit rates drop sub-linearly at higher tiers, so total cost grows sub-linearly with usage. Permanent free tier, not a trial. Self-serve enterprise add-ons available without a sales call.
FULLY MANAGED
The platform is fully managed: no clusters to size, no rebalancing to schedule, no on-call rotation for the log stack itself. OpenTelemetry-native, including OTel Metrics now GA, so you can move logs and metrics off your current provider on the same usage-based dial.
CUSTOMER HIGHLIGHT
BACKGROUND
Monks at hypergrowth scale; team composition; tooling lineage.
PROBLEM
What wasn't working before — specifics on volumes and tooling pain.
WHY AXIOM
3–4 evaluation factors: pricing predictability, schema-less, APL muscle, managed-service drag relief.
IMPLEMENTATION
The meaty middle, with any anti-drama moments engineers trust.
RESULTS
Concrete numbers (40% cost cut + retention + signal); follow-up quote.
PARTNERSHIP
Ongoing relationship; what's next.
“Ingestion and querying are amazing, and pricing is excellent. It was so quick to get set up, perfect for a small engineering team without resources to maintain a logging stack.”
— Topo Technologies
WHAT CHANGES FOR EACH ROLE
FOR ENGINEERS
Stop sampling. Stop dropping fields. Stop choosing between coverage and cost. Every log you load is queryable in APL on day one, with no second SKU to unlock search.
FOR ENGINEERING LEADERS
Show your CFO a pricing model that maps to product reality, not negotiation cycles. Forecast accuracy moves into single digits. Procurement stops being the bottleneck for onboarding new workloads.
FOR PLATFORM TEAMS
Stop running your own Loki or ClickHouse cluster. Get the control DIY was supposed to buy you (APL keeps query power in-house, schema-less ingestion preserves data-model flexibility, OTel-native ingest keeps the data portable) without the operational drag.
WHAT YOU'LL USE
Fully managed event store — ClickHouse-class columnar, 95%+ compression
Schema-less ingestion — schema-on-read, no indexes at ingest
Real-time petabyte query — serverless compute scales on demand
Integrations — Vercel, Cloudflare, AWS, Kubernetes, Cribl
BYOB available as a supported capability
COMPARE
FAQ
PRICING AND PLANS
No catch. Start on Personal with no credit card and get 500 GB load / 10 GB-hours / 25 GB storage, free forever. Or put a credit card down on the Axiom Cloud plan and get a bit more Always Free headroom (1 TB load / 100 GB-hours / 100 GB storage) + the $25/mo platform fee. Either way, you only pay when you exceed the free limits.
Sub-linear. Per-unit rates drop at higher volume tiers, and there's no overage SKU to trip into.
MIGRATION AND INTEGRATIONS
Yes. Run them in parallel for as long as you need. Axiom shows up as a small usage-based line item on the workloads you route to it.
Vercel, Cloudflare, AWS, Kubernetes, Cribl, and more.
QUERY AND FEATURES
More powerful for ad-hoc and pipeline-style analysis. APL is built for power users composing analytics pipelines, not just clicking faceted filters.
Yes, OTel-native. OTel Metrics now GA, so you can move logs and metrics off Datadog on the same dial.
DATA AND COMPLIANCE
Yes (bring your own S3 bucket). For most teams, storage is a small share of TCO, so the operational drag outweighs the savings.
Edge architecture for data residency plus write-side multi-region. Not automatic cross-region failover.
Always free to start. Usage-based scaling. Fully managed.