Get my Datadog rebuild quote →
UPSTREAM · DATADOG ALTERNATIVE
For engineering teams paying $3K–$30K+/mo on Datadog Pro / Enterprise

Datadog APM is Tempo.
Logs is Loki. Metrics is Prometheus.

Datadog charges per host + per million logs ingested + per synthetics test + per RUM session + per APM trace. The underlying capabilities — metrics, traces, logs, dashboards — are commodity primitives covered by the LGTM stack: Loki + Grafana + Tempo + Mimir, all open source, all maintained by Grafana Labs. We deploy + operate the LGTM stack on your AWS. Same dashboards, your data, no per-host pricing.

Fixed price from $22,000·4–6 weeks to ship·
Typical SaaS · 200 hosts · 300GB logs/day

Datadog Pro · APM + Logs + Infra

200 hosts · 300GB logs/day · 50 synthetics · RUM
Datadog Y1 spend$0
Self-host LGTM (AWS · S3 + EC2)~$0
Allied BizTech deploy (one-time)$0
Managed ops (per year)$0
3-YEAR RECLAIM · INDICATIVE
$0
Build payback
~4 months
Y2+ saving
~$81K/yr
Stack
Yours

At 1,000 hosts + 5TB logs/day (typical 500-eng SaaS), Y1 reclaim crosses $300K.

The math · every Datadog footprint

Datadog has at least seven taxes.

Per-host APM + per-host Infrastructure + per-million logs + per-test synthetics + per-RUM session + per-CSM session + per-database query — each scales independently. Self-host scales with raw storage, which is dramatically cheaper.

Footprint
Datadog / yr
Self-host (AWS + Allied amortised)
Y1 reclaim after build
50 hosts · APM + Infra · 50GB logs/daysmall SaaS · ~50 engineers
~$24,000
~$26,000 Y1 / $4,000 Y2+
Marginal Y1 + $20K/yr after
200 hosts · APM + Logs + Infra · 300GB/dayscaling SaaS · sweet spot
~$96,000
~$31,000 Y1 / $15,000 Y2+
~$65,000 Y1
500 hosts · full suite · 1TB/daymid-stage SaaS
~$240,000
~$54,000 Y1 / $32,000 Y2+
~$186,000 Y1
1,000 hosts · 5TB logs/day · multi-regionlarge SaaS · enterprise tier
~$540,000+
~$110,000 Y1 / $88,000 Y2+
~$430,000 Y1
3,000+ hosts · global scalevery large SaaS · custom Datadog contract
~$1,800,000+
~$320,000 Y1 / $290,000 Y2+
~$1,480,000 Y1

Datadog list prices May 2026. Self-host numbers based on Grafana / Loki / Tempo / Mimir on AWS EC2 + S3 (long-term storage) + Allied $22K deploy amortised. Datadog is the most-overpaid SaaS in our experience: per-host pricing means the bill grows with your fleet, but the LGTM cost grows with bytes — much more gently.

What we deploy

Three layers. All open source.

The LGTM stack from Grafana Labs is the de facto open-source observability standard. Mimir for metrics (Prometheus-compatible). Loki for logs. Tempo for traces. Grafana for dashboards. All AGPL or Apache-licensed, all production-grade at scale, all on your AWS.

LAYER 1 · INGEST
OpenTelemetry collectors
  • OTel Collector daemonset (replaces dd-agent)
  • Sampling + filtering at ingest
  • Datadog-compatible API (drop-in dd-agent → otel migration)
  • Per-service routing to right backend
  • Auto-scaling on AWS ECS / EKS
LAYER 2 · STORAGE
LGTM backends
  • Mimir — Prometheus-compatible metrics, S3 long-term
  • Loki — log aggregation, S3 backed
  • Tempo — distributed traces, S3 backed
  • Pyroscope — continuous profiling
  • Configurable retention per tenant / project
LAYER 3 · UI + ALERTING
Grafana + Alertmanager
  • Grafana Enterprise UI (free for self-host)
  • Migrated dashboards from your Datadog config
  • Alertmanager → PagerDuty / OpsGenie / Slack
  • SSO via Okta / Azure AD / Google
  • SLO tracking with burn-rate alerts

All four LGTM components are open source — Loki and Tempo are AGPLv3, Mimir is AGPLv3, Grafana is AGPLv3. Self-host is fully unrestricted; you can fork the code if you want to.

What's preserved · what's different

Almost everything Datadog does, LGTM does too.

The LGTM stack is purpose-built as a Datadog/New Relic alternative. Coverage is comprehensive — metrics, logs, traces, dashboards, alerting, SLOs, profiling. The differences are operational (tenant config, retention, scale tuning) not feature-level.

CORE — AT PARITY WITH DATADOG
Application Performance Monitoring (APM)distributed traces, service maps, slow-query analysis
Log management + searchstructured logs, full-text, log → trace linking
Infrastructure monitoringCPU, memory, disk, network, container metrics
Custom dashboardsdrag-drop, templating, variable substitution
Alerting + on-call routingmulti-condition, threshold + anomaly, PagerDuty integration
SLO tracking + burn-rate alertsnative in Grafana Enterprise
Continuous profilingPyroscope · CPU + memory + goroutines
Synthetics monitoringGrafana Synthetic Monitoring + k6 cloud
PARTIAL — REBUILT BUT DIFFERENT
Real User Monitoring (RUM)Replaced with Grafana Faro (production-ready, less polished UI)
~
Cloud Security ManagementReplaced with Falco + Wazuh (different UX, comparable coverage)
~
Datadog NotebooksReplaced with Grafana Explore + saved queries
~
DROPPED — REPLACE PER-SERVICE
Datadog AI / Watchdog ML detectionReplaced per-service: Prometheus alert rules + custom anomaly detection if needed
NEW — DATADOG DOESN'T DO
No per-host pricingAdd hosts free; storage scales with bytes, not host count
Configurable retention per workloadHot logs 7 days, cold logs 365 days on S3 — your retention policy
SQL access to all observability dataQuery Loki / Tempo / Mimir from any tool, no Datadog API rate limits
Pricing

Fixed price. Sized by host + log volume.

One number, one ship date. Sized by host count, log volume, and required HA posture.

⭐ Datadog rebuild · up to 500 hosts · 1TB logs/day

From $22,000 — fixed

$22,000 · one-time
4–6 weeks · 1-week parallel run · 90-day warranty
  • LGTM stack deployment on your AWS (EKS / ECS)
  • OTel Collector with dd-agent compatibility for drop-in migration
  • Mimir + Loki + Tempo + Grafana sized for your volume
  • Pyroscope continuous profiling
  • SSO integration — Okta / Azure AD / Google Workspace
  • Migrated dashboards — converted from Datadog JSON exports
  • Alertmanager → PagerDuty / OpsGenie / Slack
  • Long-term storage on S3 with configurable retention
  • 1-week parallel run with Datadog before cutover
  • Runbook + handover doc
Get my Datadog rebuild quote →

24-hour quote turnaround · NDA on request

SCALE TIER · 1,000+ HOSTS
Multi-region clusters + advanced sharding: $32,000–$48,000.
+ RUM TIER
Add Grafana Faro for Real User Monitoring: +$8,000–$14,000.
+ SECURITY MONITORING TIER
Add Falco + Wazuh for cloud security observability: +$14,000–$22,000.
RUNNING IT FOR YOU
Allied BizTech-managed at $6,000/yr covers monitoring + monthly upgrades + SLA support.
The "Datadog alternatives" listicles miss the point

Why we don't recommend the obvious switches.

"Datadog alternative" results: New Relic, Dynatrace, Splunk, Honeycomb, Chronosphere. Same hosted-vendor model, different brand. Same per-host or per-event pricing.

PATH A · New Relic
"Per-user pricing instead."
New Relic's per-user pricing seems cleaner but ingestion overage caps the win. Same wrapper economics at the same scale; sometimes worse for log-heavy teams.
PATH B · Honeycomb
"Best traces UX."
Honeycomb's UX for traces is genuinely best-in-class. Per-event pricing scales aggressively; great for low-volume teams, expensive at SaaS scale. Still a hosted vendor.
PATH C · Chronosphere
"Observability for cloud-native."
Chronosphere is genuinely good and built on M3 (similar to Mimir). Hosted pricing is comparable to Datadog at scale. Self-hosted LGTM is the same architecture, your AWS.
PATH D · Grafana Cloud
"LGTM hosted by Grafana Labs."
Grafana Cloud is a great option for sub-200-host teams. Above 500 hosts the pricing approaches Datadog's; self-host is meaningfully cheaper at that point.
PATH E · Self-host LGTM yourself
"It's open source."
You can. Production-grade Mimir tuning + multi-tenant config + retention policy + on-call setup is 4–6 weeks of senior infra time. We do that work fixed-price.
PATH F · Negotiate Datadog down
"Just push back."
Datadog will discount Pro / Enterprise 15–25% on multi-year commits. Self-host margin is 75%+ at 200+ hosts. Negotiation captures less than 1/3 of self-host value.
Questions about a Datadog rebuild

"What about…"

Will my dd-agent integrations break?
No. The OTel Collector ships a Datadog receiver — it accepts traffic from existing dd-agents transparently. You don't need to re-instrument anything immediately. Migrate to native OTel SDKs gradually as you touch services.
How do we migrate dashboards?
Datadog dashboards export as JSON. We translate them to Grafana JSON via our migration tool, including templating + variables + alert rules. ~85% of dashboards convert automatically; the remaining 15% need manual re-creation (typically the most complex / least-used).
What about Datadog AI / Watchdog?
Watchdog's anomaly detection is useful but oversold. For 80% of cases, threshold + rate-of-change alerts in Grafana are sufficient. For the rest, we add custom anomaly detection (Prometheus + Python) — same outcomes, no per-detection fee.
How does log ingestion compare?
Loki ingests structured logs at line rate — your existing log shippers (Fluent Bit, Vector, Filebeat) work unchanged. Loki's index-free design is far cheaper at scale than Datadog's log management; trade-off is search is grep-style (label-based) rather than free-text-first. For most use cases this is fine; for forensics-heavy teams we add ClickHouse for free-text.
What about retention?
Configurable per workload. Typical setup: 7 days hot retention on EBS, 365 days cold retention on S3 (with automatic restore for query). Datadog's flat retention is much less flexible; this gives you per-team / per-compliance-requirement control.
Who owns everything?
You. Helm / Terraform config in your GitHub. LGTM runs in your AWS account. No Allied infrastructure in the loop. You can take over fully if you cancel managed-ops.

Why this number works: AI-paired senior engineers raise the floor on quality + consistency · 250+ products shipped · direct vendor billing — you keep the wrapper margin. → The full method

UPSTREAM · DATADOG REBUILD

Stop the per-host pricing. Self-host LGTM.

From $22,000 fixed. 4–6 weeks to ship. Same dashboards. Your AWS. Your bytes, no per-host pricing. No deck-pitch — send your Datadog plan + host count + monthly log volume, we send a quote in 24 hours.

15+ years · ISO 9001:2015 · 250+ shipped · MSA · SOW · DPA ready · LGTM stack is open source.