Built For Teams Paying Too Much For Datadog Logs
Cut Datadog log costs by 30-60%.
LogTrim filters, archives, samples, deduplicates, trims, and converts logs into metrics before expensive ingestion. Keep high-signal events in Datadog, retain history in S3, and stop paying to index repetitive noise.
"LogTrim started saving us hundreds from day one."
Early design partner, B2B SaaS engineering team
Teams that remove noisy logs usually reduce Datadog ingestion spend materially.
Create an account, connect a source, and start saving.
Filter and route upstream without replacing search, alerts, or dashboards.
No platform migration required.
Rules and destinations managed from one place.
Enterprise-ready options when your usage and team grow.
Start receiving events quickly with a lightweight setup.
Drop repetitive noise, keep high-signal events, and mask sensitive fields.
Send high-signal events to Datadog and archive history in S3.
Drop low-value events upstream so they never become billable Datadog ingestion volume.
Send raw logs to cheaper long-term storage while forwarding only high-signal data to Datadog.
Turn high-volume success patterns into request counts, rates, and latency metrics instead of raw indexed logs.
Keep representative logs for noisy success traffic while preserving complete errors, warnings, and anomalies.
Collapse repeated events into one representative log with a count, first-seen time, and last-seen time.
Remove unused fields and oversized attributes before forwarding logs to expensive indexed storage.
Strong for parsing and enrichment of logs you already keep inside Datadog.
Because it runs after ingestion, it is weaker for teams trying to cut ingestion-driven spend.
LogTrim filters and masks before ingestion, then forwards only high-signal events to Datadog.
Powerful general-purpose pipeline when your team wants deep low-level composition.
For most teams, it means about two days of setup, then permanent ownership, plus a "who maintains this when Dave leaves" risk.
LogTrim is purpose-built for teams who would rather not own another piece of infrastructure.
A strong option for organizations running broad observability programs with dedicated platform ownership.
In practice, many teams face a $15K professional services engagement before they see value.
LogTrim stays narrow: suppress noise, mask PII, and route signal to Datadog plus full retention in S3.
- Up to 2 TB/day measured against ingress or egress, whichever is reached first
- Includes filtering, sampling, deduplication, PII masking, and log-to-metric conversion
- Route high-signal logs to Datadog and optional archive streams to S3
- Up to 5 TB/day measured against ingress or egress, whichever is reached first
- Same reduction engine as Starter with higher daily throughput
- Best fit for API-heavy teams that need predictable Datadog cost control
- Up to 10 TB/day measured against ingress or egress, whichever is reached first
- Highest shared-infrastructure limit before dedicated capacity
- Designed for large SaaS, fintech, marketplace, and event-driven workloads
- Dedicated regional data planes with negotiated throughput and burst capacity
- Full S3 archival by default with per-destination Datadog routing policies
- SAML SSO, immutable audit logs, priority onboarding, and 99.9% uptime SLA
Why is Datadog so expensive?
Datadog log billing is mostly ingestion-driven. If you forward every event, low-value traffic like repetitive 200 responses increases costs quickly.
Can I drop logs before Datadog?
Yes. LogTrim applies filtering rules before ingestion so you only send high-signal logs to Datadog.
What logs are safe to drop?
Most teams safely drop repetitive success logs, health checks, and known noise once they confirm those events are not used in alerts or incident workflows.
How much can I save?
Savings depend on your noise ratio. Teams that remove low-signal traffic commonly reduce Datadog ingestion spend by 30-60%. LogTrim has even seen teams reduce their Datadog bill by more than 70%.
Is log filtering safe?
Filtering is safe when rules are explicit, tested, and paired with low-cost archival. LogTrim supports dual routing so full logs can still be retained in S3.
Can I convert logs into metrics before Datadog?
Yes. LogTrim can derive metric signals from log streams so you keep high-value trends without indexing every raw event.
Does LogTrim support sampling and deduplication?
Yes. You can sample repetitive traffic intentionally and suppress duplicate events before they become Datadog ingest cost.