Obsfly
comparison · datadog dbm vs obsflyliveDDCOMPETITORDatadog DBMBYOCPer-DB / mo$70+Multi-DB1–3VSOBSFLYObsflyBYOCYesPer-DB / mo$39Multi-DB9 engines

Comparison

Datadog DBM vs Obsfly: side-by-side feature and pricing breakdown

The honest comparison — pricing, feature parity, deployment models, and what Datadog does better. Includes the 3 places Datadog DBM is the right answer in 2026.

Published ·12 min read

We get this question on every demo: “OK, what’s actually different between you and Datadog DBM?” Here’s the side-by-side without the vendor spin — including what Datadog does better.

On this page
  1. TL;DR
  2. Pricing
  3. Feature parity
  4. Deployment models
  5. Where your data lives
  6. What Datadog does better
  7. When to switch
  8. FAQ

TL;DR

  • Price: Obsfly $39/DB/mo (Team) vs Datadog DBM ~$105/DB/mo. ~63% lower.
  • Coverage: Both cover the same 9 databases (Postgres, MySQL, Mongo, Redis, ClickHouse, Oracle, SQL Server, Cassandra, Elasticsearch).
  • BYOC / Sovereign: Obsfly ships customer-VPC and air-gapped builds; Datadog DBM is SaaS-only.
  • AI:Both have AI features. Datadog’s Bits AI runs against their data lake; Obsfly’s AI works in BYO-LLM mode for regulated customers.
  • Infra observability: Datadog DBM is part of a larger Datadog ecosystem (APM, infra, logs, RUM, security). Obsfly is database-only by design.

Pricing, with public list numbers

ItemObsflyDatadog DBM
Per-DB host (small Postgres)$39 / mo (Team)~$70 / DB-host + ~$23 infra
Per-DB host (with AI insights)$89 / mo (Business)Add Bits AI (priced separately)
Required APM / infra to use DBM?NoYes — APM + Infra are prerequisites
50 databases / 30 hosts~$1,950 / mo~$5,490 / mo
BYOC$5k platform + $59 / DBNot offered
Sovereign / air-gapped$80k–$300k+ / yrNot offered

Feature parity

CapabilityObsflyDatadog DBM
Top normalized queriesYes — pg_stat_statements + per-DB equivalentsYes
EXPLAIN plan capture + diffYes — auto on regressionYes
Activity / wait events @ 1HzYesYes
Lock chain visualizationYes — recursive graphPartial (shown as samples)
Anomaly detection (per-metric)Yes — Prophet + BOCPDYes — proprietary
Forecast bandsYesYes
Schema change trackingYes — full timelinePartial
AI plan narrationYes — Claude / BYO LLMYes — Bits AI
Index recommendations grounded in workloadYesYes
Slow query trace correlation w/ APMLimited (APM is separate)Yes — native
Multi-region cluster topology viewYesYes

Deployment models

ModeObsflyDatadog DBM
SaaS (US / EU / APAC region)YesYes
BYOC — data plane in customer VPCYes — same binaries, env-flaggedNo
Sovereign / on-prem / air-gappedYes — Helm + offline-validated licenseNo — SaaS-only
Single-binary agentYes — 15 MB Go static binaryPython agent (~150 MB)

Where your data lives

For regulated industries (fintech, healthcare, gov), this is the deciding factor. Datadog DBM ingests raw query text — including literal values like email addresses, account numbers, tokens — into Datadog-managed storage. The legal team has to sign off on data egress before any deployment.

Obsfly BYOC keeps all telemetry inside the customer’s VPC. The control plane (UI, auth, billing, AI) talks to a data-plane proxy via mTLS. Raw query text never leaves the customer’s perimeter. This is the pattern that makes Obsfly deployable in environments Datadog can’t bid for.

What Datadog does better

The fairness section. Datadog DBM is genuinely better in three places:

  • Trace correlation.If you’re already a Datadog APM customer, DBM stitches a slow query directly to the trace span that issued it. We can’t do that — we’re database-only. If trace correlation matters more than price, stay on Datadog.
  • One pane for everything.Datadog gives you APM + infra + logs + DBM + RUM + Security + dozens more in one tool. We don’t. If your workflow is “one URL for everything”, we’re a regression.
  • Maturity of ecosystem.Datadog has been at this since 2010, has integrations with every cloud and every framework, and a community of thousands of engineers writing dashboards. We’re catching up — fast — but parity in third-party integrations is a 2027 conversation.

When to switch

  • Your DBM bill is over $5k/mo and database performance is your top observability problem (not infra, not RUM).
  • Compliance is forcing BYOC, on-prem, or air-gapped — Datadog can’t bid; we can.
  • You don’t use Datadog APM, so trace correlation isn’t a feature you lose.
  • You want database monitoring built by people who think about databases all day, not one product line of fifty.

FAQ

How long does migration take?+
Most teams have parallel coverage running in 30 minutes — install the Go agent on each DB host, point it at the Obsfly receiver, and historical data starts populating immediately. Cut the Datadog DBM contract at renewal once you've verified parity for your top dashboards.
Can we run both during evaluation?+
Yes — that's the recommended path. Both agents are read-only on your databases. Run Obsfly alongside Datadog DBM for 2–4 weeks; compare top-N queries, plan diffs, and incident attribution; then decide.
What about Datadog APM trace → DBM?+
If trace correlation drives your incident response, this is the single biggest reason to stay. We can ingest OpenTelemetry trace IDs against query samples, but native trace-to-DBM linking only works inside Datadog's stack.
How does the AI compare?+
Both vendors have plan narration and index recommendations grounded in workload. Datadog uses Bits AI; we use Claude (or your model in BYOC). The differentiator isn't the model — it's how the context is grounded. Both work in production today.

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