Cheapest platform as index percentage grows
Volume, retention and event size held at your current inputs β only Datadog's indexed share of the volume changes per row. Watch how Datadog's per-million-event charge overtakes Axiom's and Better Stack's flat per-GB rates as you index more of what you ingest.
| Indexed % | Axiom | Better Stack | Datadog | Cheapest |
|---|
Why tiered-ingest, ingest+retention and ingest+indexing billing shapes matter
Log management platforms don't compete on a single price β each meters a completely different dimension of your data. Axiom bills ingest cost = tiered rate Γ GB ($0.25/GB for the first 100GB, $0.20/GB from 100GB-1TB, $0.15/GB beyond 1TB) plus a flat $25/month base fee, with automatic volume discounts and every ingested byte fully queryable β retention and search aren't billed separately. Better Stack instead bills (max(0, GB - 30 free) Γ $0.30/GB ingest) + (GB Γ $0.10/GB-month Γ retention days Γ· 30) on top of a $24/month base fee β so extending retention from 15 to 90 days roughly 6x's the retention line item at the same ingest volume, something Axiom's flat rate doesn't do. Datadog goes a third direction entirely: (GB Γ $0.10 ingest) + (indexed GB converted to million events Γ $/million based on retention), where indexed GB is only the slice you explicitly choose to make searchable β a workload with small, dense log lines (e.g. 200-byte JSON events) produces far more billable events per GB than one with large, sparse lines (e.g. 5KB stack traces), so identical GB volumes can produce wildly different Datadog bills depending on your average event size.
That means the "cheapest" platform flips depending on how disciplined you are about what gets indexed. A team that indexes 100% of everything it ingests, especially with small event sizes, can watch Datadog's per-million-event charge blow past both Axiom and Better Stack by an order of magnitude. A team that only indexes 10-20% of its volume (archiving the rest cheaply) can make Datadog the cheapest of the three. Axiom tends to win when you want predictable, fully-searchable logs without a separate indexing decision to manage, and Better Stack tends to win at low volume and short retention where its lower base fee and small free allowance cover most of the bill. Run your own numbers above instead of trusting a vendor's headline plan price.
How this calculator works
The Axiom vs Better Stack vs Datadog Logs Cost Calculator compares three log management pricing shapes β Axiom (tiered flat rate per GB ingested, everything queryable), Better Stack (per-GB ingestion + separate per-GB-per-month retention charge) and Datadog Log Management (cheap per-GB ingestion + per-million-event indexing charge on only the slice you choose to index) β at your monthly log volume, retention window, average log event size and Datadog index percentage. Axiom's cost is base fee + (tier1 GBΓ$0.25 + tier2 GBΓ$0.20 + tier3 GBΓ$0.15) with tiers at 100GB and 1TB. Better Stack's cost is base fee + (billable GB Γ $0.30 ingest) + (GB Γ $0.10/GB-month Γ retention days Γ· 30 retention). Datadog's cost is (GB Γ $0.10 ingest) + (indexed GB converted to million events at your event size Γ price-per-million, which scales from ~$1.06 at 3-day retention to ~$2.50 at 30-day retention). The calculator shows all three totals side by side, then a separate table isolates all three vendors across a range of index percentages at your current volume/retention/event-size settings, so you can see exactly where Datadog's per-event charge overtakes the other two flat-rate models.
These are representative pricing shapes based on each vendor's published self-serve rates as of August 2026 (Axiom ingest tiers and base plan from axiom.co/pricing; Better Stack ingest/retention ranges and base plan from betterstack.com/pricing; Datadog ingestion and indexing rates from datadoghq.com/pricing, including its "Logging without Limits" ingest/index split), not live vendor quotes. All three vendors' exact rates vary by commitment level, annual vs on-demand billing, and negotiated volume discounts at scale β Datadog in particular publishes a range for indexing depending on retention tier and contract type. Always confirm current pricing directly with the vendor before budgeting.
Frequently asked questions
Is Axiom cheaper than Datadog for log management?
Usually yes for full-text-searchable logs, because Axiom charges a flat tiered rate per GB ingested ($0.25/GB for the first 100GB, $0.20/GB from 100GB-1TB, $0.15/GB beyond 1TB, plus a $25/month base fee) with every ingested log fully queryable. Datadog splits the bill in two: ingestion is cheap at $0.10/GB, but indexing (making logs searchable) is billed per million log events, from roughly $1.06/million at 3-day retention up to $2.50/million at 30-day retention. If you index 100% of what you ingest, Datadog's per-event indexing charge can quickly exceed Axiom's flat per-GB rate, especially with small, chatty log lines that pack many events into each GB. If you only index a small slice of your volume (Datadog's "Logging without Limits" model), Datadog can undercut Axiom. Run your own volume, retention and index percentage through the calculator above.
Why does Datadog charge per event instead of per GB for log indexing?
Datadog separates raw log ingestion (cheap, per-GB, covers processing/enrichment/archival) from indexing (expensive, per-million-events, covers the compute and storage needed to make a log instantly searchable and filterable in their UI). Billing indexing per event rather than per GB means your cost depends on how many discrete log lines you generate, not how many bytes they take up β a workload with lots of small, terse log lines (e.g. one-line JSON events at 200 bytes each) produces far more billable events per GB than a workload with fewer, larger log lines (e.g. verbose stack traces at 5KB each), even at identical total ingested volume. This is why the calculator asks for your average log event size: it directly determines how many million events your GB volume translates into, and therefore your Datadog indexing bill.
How does Better Stack's log pricing differ from Axiom's?
Both charge per-GB for ingestion, but Better Stack adds a second, separate per-GB-per-month retention charge on top, while Axiom's tiered ingest rate is effectively all-in. Better Stack's published ranges are roughly $0.10-$0.35/GB for ingestion and $0.05-$0.18/GB/month for retention, with a $24/month paid-plan base fee and 30GB/month included free. Axiom instead uses automatic volume-discount tiers on ingestion alone ($0.25/GB for the first 100GB, dropping to $0.20/GB and then $0.15/GB at higher volumes) with a $25/month base fee and no separately billed retention line item. That means Better Stack's total climbs faster than Axiom's when you extend retention (e.g. 90 days vs 15 days) at the same ingest volume, since Better Stack bills for the extra time data sits in storage while Axiom's rate stays flat regardless of how long you keep it.
Which log management platform is cheapest overall?
There's no fixed winner because all three meter something different. Axiom wins for teams that want every ingested log fully searchable without worrying about a separate indexing bill or retention surcharge β its tiered per-GB rate is predictable and volume discounts kick in automatically. Better Stack wins for lower-volume, shorter-retention workloads that stay under its 30GB free allowance or close to it, since its base fee is the lowest of the three. Datadog wins when you're disciplined about indexing only a small, high-value slice of your total log volume (e.g. errors and key transactions) while archiving the rest cheaply β but it can become the most expensive option by a wide margin if you try to index everything, especially with small, event-dense log lines. Run your own monthly volume, retention window, average event size and index percentage through the calculator above.