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DatadogSee inside any stack, any app, at any scale, anywhere.
vs
LokiObservability
Comparison · Observability · weekly run Nov 3

Datadog vs Loki

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 12 for Loki, and ranks ahead in 92% of the answers that name both.

Choose Datadog if…

  • You want the brand AI engines rank higher (69.5 vs 12)
  • AI answers describe it more positively (27% vs 7% positive)
  • You need FedRAMP High (Datadog for Government) coverage
  • Market-leading observability platform

Choose Loki if…

  • You need SOC 2 or ISO/IEC 27001 or ISO 22301 or PCI DSS v4.0.1 or GDPR or TISAX or CSA STAR or FedRAMP High or TX-RAMP Level 2 coverage
  • Open-source, standards-driven telemetry stack
  • Composable dashboards and data visualization
  • Built natively around OpenTelemetry

AI visibility side by side

Latest weekly run · Nov 3

Metric Datadog Loki
Visibility score69.5%12%
Change vs last weekNewNew
Rank in Observability#1#11
Share of voice11%4.7%
Mentions this run6527
Positive in AI answers27%7%

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 · Loki 0pp over 0 weekly runs.

Engine by engine

Datadog leads on 3 of 3 engines

ChatGPT
78.7%
11.8%
AI Mode
73.5%
20.2%
Perplexity
56.3%
3.9%
DatadogLoki

Head to head in AI answers

26 engine answers name both brands

24Datadog ranked higher
2Loki ranked higher

Features, pricing & fit

DimensionDatadogLoki
Pricing modelUsage-based—
Entry price$0.05 / mo—
Free planNo—
DeploymentSaaSSelf-hosted or through Grafana Cloud
Integrations1000+—
ComplianceFedRAMP High (Datadog for Government)SOC 2, ISO/IEC 27001, ISO 22301, PCI DSS v4.0.1, GDPR, TISAX, CSA STAR, FedRAMP High, TX-RAMP Level 2
SupportSupport plans, Services and enablement—
Founded20102018
HeadquartersNew York, NYNew York, NY
Employees1,001–5,0001,001–5,000
FundingIPOSeries E · $660M 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

Loki

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

Loki

  • Open-source, standards-driven telemetry stack
  • Composable dashboards and data visualization
  • Built natively around OpenTelemetry
  • Managed cloud offering with a permanent free tier
  • Cost-effective compared with licensed platforms
  • Requires internal engineering time to maintain, configure, and scale
  • Ongoing infrastructure, storage, and maintenance costs

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

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