Comparison · vs Datadog DBM
Die Datadog-DBM-Alternative, ohne den Datadog-Aufpreis.
Gleiche Query-Telemetrie. Gleiche AlwaysOn-Sicht. Forecast-Bänder, die Datadogs Anomalie-Monitore nicht haben. Ein Drittel der Rechnung.
01. Why teams move
What teams say in the first call.
- $70/host + $35/DB-instance adds up fast — typical mid-market bill ≥ $5k/mo before overage.
- SaaS-only. Regulated SaaS / fintech / healthcare can't put query text in a vendor's cloud.
- Anomaly + forecast monitor types are opt-in and threshold-flavored under the hood.
- Plan history is hidden behind Live Queries view — no plan-flip timeline.
- Adding non-default DBs (Cassandra, ClickHouse) means custom integrations or partial coverage.
02. Honest take
What Datadog DBM is genuinely good at.
We’re not interested in trash-talk. Here’s where Datadog DBM is the right call — useful even if you end up choosing Obsfly, because keeping Datadog DBM for some workloads can make sense.
- + End-to-end observability tied to APM and infra metrics in the same UI.
- + Mature alert rules and integrations marketplace.
- + Best-in-class log search at scale (when you pay for it).
- + Strong AWS / GCP / Azure integration coverage for non-DB metrics.
03. Side by side
Obsfly vs Datadog DBM, line by line.
04. The math
Pricing snapshot.
Public list pricing where known; “contact sales” where not. Real bills are usually within 20% of these figures.
05. Switching
How teams actually switch.
Same metric semantics
Obsfly normalizes to the same query-digest scheme as Datadog (md5 in Postgres, query_id in MySQL 8+, query digest in MongoDB) — your dashboards translate.
Run both in parallel
The agents don't conflict. Run side-by-side for a 30-day pilot and compare alerts, p99s, anomaly counts directly.
Migration helper
We export your top 100 Datadog DBM monitors and rebuild them as Obsfly alert rules in one click. Free during pilot.
06. FAQ
Common questions.
Does Obsfly replace Datadog entirely?+
We replace Datadog DBM. Most customers keep Datadog APM + infra metrics + logs and pair us specifically for database performance. Some replace Datadog entirely once the DBM bill clears their other tooling.
Will my Datadog DBM alerts come over?+
Yes — we ship a one-click migration that imports your top monitors and rebuilds them as Obsfly alert rules. Free during pilot.
What about query-text privacy?+
On SaaS, redaction is on by default and tunable per workspace. On BYOC, raw query text never leaves your VPC — the Obsfly control plane reads only aggregates via the data-plane proxy.
Can I keep using the Datadog agent?+
No — the Obsfly agent is its own binary. They don't conflict, but they're separate. Most customers run both during pilot, then drop the Datadog DBM agent.
Where it shows up
Obsfly for the databases you run.
People also compare
Other tools teams evaluate alongside Datadog DBM.
vs SolarWinds DPA
Obsfly vs SolarWinds DPA
Looking for a SolarWinds Database Performance Analyzer alternative? Obsfly is modern DBM with the wait-event analysis DPA users love, plus AI-native anomaly detection, BYOC, and a single agent across every database.
vs pganalyze
Obsfly vs pganalyze
Pganalyze is excellent at Postgres. Obsfly matches it on Postgres and adds MySQL, MongoDB, Redis, ClickHouse, Oracle, and SQL Server in the same pane — with BYOC, AI insights, and modern pricing.
vs New Relic
Obsfly vs New Relic
New Relic's database visibility is part of its broader APM. Obsfly is purpose-built for databases — query digests, plan history, lock chains, AI insights — at flat per-DB pricing without ingest surprises.
Deep dives
Reading you might want before the call.
Pricing
We added up Datadog DBM at 50 databases. Here's the bill.
A line-by-line walkthrough of what 50 Postgres + 12 MySQL + 8 Mongo databases actually cost on Datadog DBM in 2026, with ways to reduce it that don't involve switching tools.
BYOC
Why regulated SaaS can't use Datadog DBM — and the BYOC fix
Walking through the architecture of a BYOC observability deployment: where data lives, what crosses the boundary, and how to satisfy SOC2 / HIPAA / GDPR without giving up the UX.
AI
Anomaly detection on database metrics: why thresholds fail and what works
A walk through forecast bands, change-point detection, multi-variate anomaly, and the seasonality math that makes 'p99 over 200ms' the wrong alert by default — with the Postgres example that broke our last threshold.
· · ·
See it on your stack.
20-min comparison demo. Bring real queries from your Datadog DBM setup; we'll reproduce them in Obsfly live.