Datadog Database Monitoring

Name: Datadog Database Monitoring
Brand: Datadog
Rating: 4.4 (2770 reviews)

Leader

Datadog provides cloud-scale monitoring and security for metrics, traces and logs in one unified platform.

Est 2010|Valuation $91.4B|Raised $795.9M

LinkedIn 546K|Website|Web traffic 4.6M|FTEs 8,100|HQ New York, New York, US

MarketsInfrastructure Monitoring Observability Platform Application Performance Monitoring (APM)

01Competitive Landscape

Narrative analysis

Datadog DBM vs SolarWinds DPA - Datadog is typically chosen when tight correlation with application traces and broader observability telemetry is required. - SolarWinds DPA may be preferred in contexts where organizations prioritize DBA workflows, self-hosted deployment options, or narrower DB-focused functionality at potentially lower total cost for DB-only monitoring. Datadog DBM vs New Relic - Pricing model differences can affect total cost and adoption patterns. Datadog’s per-host DBM SKU may be more predictable for some database fleets, while New Relic’s ingest-based model may be advantageous for organizations prioritizing different trade-offs (for example, fewer per-host add-ons but higher ingest volumes). Specialist DB tools (e.g., pganalyze) - Specialist tools can provide deeper, engine-specific analyses and workflows for particular databases (for example, PostgreSQL). These tools may require additional integration work to provide cross-stack correlation that platform vendors provide natively.

Market share and adoption trends

Datadog shows strong adoption in observability, evidenced by a sizable review presence and an extensive integration ecosystem. Review presence does not directly equate to DBM product share, and organization-level adoption patterns can vary by use case and procurement decisions.

	Datadog Database Monitoring	SolarWinds DPA	New Relic (platform DB monitoring)
Starting Price	Published per-database/host pricing available from the vendor	Vendor-published database pricing; DPA is available as a self-hosted option with separate licensing	Usage-based pricing model (ingest and user/compute factors); DB monitoring cost depends on plan and ingest volume
Suitable for	Organizations seeking database query insights correlated with APM, logs, and infrastructure telemetry in a SaaS platform	DBA-focused teams seeking database-centric workflows and self-hosting options	Teams preferring an ingest/user-based pricing model and modular observability capabilities
Noted strengths	Integration across application and infrastructure telemetry; query and wait insights; explain plans and normalized queries	DBA-focused analytics and self-hosting options; some users report simpler implementation for DB-only use cases	Flexible pricing levers (ingest, users); free tier options can reduce initial cost for some usage patterns
Noted weaknesses	Potential for higher total cost as additional modules and retention requirements increase; modular SKUs can complicate forecasting	May not provide the same level of cross-stack correlation without additional integrations	Ingest-based costs can grow with volume and may be less predictable for high-volume telemetry

01Competitive Landscape

Narrative analysis

Datadog DBM vs SolarWinds DPA

Datadog is typically chosen when tight correlation with application traces and broader observability telemetry is required.
SolarWinds DPA may be preferred in contexts where organizations prioritize DBA workflows, self-hosted deployment options, or narrower DB-focused functionality at potentially lower total cost for DB-only monitoring.

Datadog DBM vs New Relic

Pricing model differences can affect total cost and adoption patterns. Datadog’s per-host DBM SKU may be more predictable for some database fleets, while New Relic’s ingest-based model may be advantageous for organizations prioritizing different trade-offs (for example, fewer per-host add-ons but higher ingest volumes).

Specialist DB tools (e.g., pganalyze)

Specialist tools can provide deeper, engine-specific analyses and workflows for particular databases (for example, PostgreSQL). These tools may require additional integration work to provide cross-stack correlation that platform vendors provide natively.

Market share and adoption trends

	Datadog Database Monitoring	SolarWinds DPA	New Relic (platform DB monitoring)
Starting Price	Published per-database/host pricing available from the vendor	Vendor-published database pricing; DPA is available as a self-hosted option with separate licensing	Usage-based pricing model (ingest and user/compute factors); DB monitoring cost depends on plan and ingest volume
Suitable for	Organizations seeking database query insights correlated with APM, logs, and infrastructure telemetry in a SaaS platform	DBA-focused teams seeking database-centric workflows and self-hosting options	Teams preferring an ingest/user-based pricing model and modular observability capabilities
Noted strengths	Integration across application and infrastructure telemetry; query and wait insights; explain plans and normalized queries	DBA-focused analytics and self-hosting options; some users report simpler implementation for DB-only use cases	Flexible pricing levers (ingest, users); free tier options can reduce initial cost for some usage patterns
Noted weaknesses	Potential for higher total cost as additional modules and retention requirements increase; modular SKUs can complicate forecasting	May not provide the same level of cross-stack correlation without additional integrations	Ingest-based costs can grow with volume and may be less predictable for high-volume telemetry