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DatadogSee inside any stack, any app, at any scale, anywhere.
vs
TempoOpen-source, high-scale distributed tracing backend
Comparison · Observability · weekly run Nov 3

Datadog vs Tempo

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Datadog is the stronger AI pick in Observability: it has a visibility score of 69.5 versus 7.1 for Tempo, and ranks ahead in 94% of the answers that name both.

Choose Datadog if…

  • You want the brand AI engines rank higher (69.5 vs 7.1)
  • AI answers describe it more positively (27% vs 6% positive)
  • You need FedRAMP High (Datadog for Government) coverage
  • Market-leading observability platform

Choose Tempo if…

  • You need a self-hosted or on-premises option
  • You need SOC 2 or ISO/IEC 27001 or ISO 22301 or PCI DSS v4.0.1 or GDPR or FedRAMP High or TISAX or CSA STAR or TX-RAMP Level 2 coverage
  • Open-source and cost-effective
  • Mature Prometheus, Loki and Grafana ecosystem

AI visibility side by side

Latest weekly run · Nov 3

Metric Datadog Tempo
Visibility score69.5%7.1%
Change vs last weekNewNew
Rank in Observability#1#12
Share of voice11%3.1%
Mentions this run6518
Positive in AI answers27%6%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3Datadog 70%

Datadog 0pp · Tempo 0pp over 0 weekly runs.

Engine by engine

Datadog leads on 3 of 3 engines

ChatGPT
78.7%
8%
AI Mode
73.5%
11.5%
Perplexity
56.3%
1.9%
DatadogTempo

Head to head in AI answers

17 engine answers name both brands

16Datadog ranked higher
1Tempo ranked higher

Features, pricing & fit

DimensionDatadogTempo
Pricing modelUsage-based—
Entry price$0.05 / mo—
Free planNo—
DeploymentSaaSManaged as Grafana Cloud or self-hosted on Kubernetes via Helm
Integrations1000+—
ComplianceFedRAMP High (Datadog for Government)SOC 2, ISO/IEC 27001, ISO 22301, PCI DSS v4.0.1, GDPR, FedRAMP High, TISAX, CSA STAR, TX-RAMP Level 2
SupportSupport plans, Services and enablement—
Founded2010—
HeadquartersNew York, NYNew York, NY
Employees1,001–5,0001,001–5,000
FundingIPOSeries E · $1100M raised
Best forEngineering teams that maintain, optimize and secure cloud or hybrid environments—

Plans side by side

Datadog

AI Credits$500per 500 credits per month, billed annually (on-demand $1.30 per credit)
Code Coverage$8per committer per month, billed annually (on-demand $12)
Log Management Ingest$0.1per ingested or scanned GB per month, billed annually (on-demand $0.10)
Flex Storage$0.05per million events stored per month, billed annually (on-demand $0.075)
Flex Logs Starter$0.6per million events stored per month
Datadog pricing

Tempo

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

Datadog

  • Market-leading observability platform
  • All-in-one platform breadth across infrastructure, APM, logs and security
  • Great out-of-the-box integrations and ease of use
  • AI-assisted troubleshooting and unified full-stack correlation
  • Free trial available
  • Rising costs at scale and sticker shock as log and trace volumes grow
  • Complex, opaque billing and surprise overage fees

Tempo

  • Open-source and cost-effective
  • Mature Prometheus, Loki and Grafana ecosystem
  • Distributed tracing for traces
  • Integrates smoothly with OpenTelemetry
  • Managed option with a permanent free tier
  • Demands significant internal engineering time to maintain and scale

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Datadog vs Tempo”, https://slateindex.ai/compare/datadog-vs-tempo, data of Nov 3, 2026. Licence: CC BY 4.0.