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Datadog vs Elastic Observability

A detailed comparison to help you choose between Datadog and Elastic Observability.

Quick Verdict

4.0/5

Datadog

0 reviews

4.0/5

Elastic Observability

0 reviews

Both Datadog and Elastic Observability are equally rated at 4.0/5. Datadog is the leading enterprise observability platform. Infrastructure monitoring, APM, log management, synthetic monitoring, and security monitoring in one platform. 600+ integrations. Unified observability platform that collects and analyzes metrics, logs, and traces from servers, applications, and services. Built for DevOps teams managing complex distributed systems.

Datadog

Datadog

Enterprise monitoring — infrastructure, APM, logs

Elastic Observability

Elastic Observability

Real-time visibility into infrastructure, applications, and logs

Overview
Rating4.0 (0 reviews)4.0 (0 reviews)
Pricing modelfreemiumfreemium
Starting priceFree tier availableFree tier available
Best forScaling engineering organisations running microservices that need full-stack correlation and can fund it, plus regulated teams needing FedRAMP High or EU/German data residency.Engineering teams running Elasticsearch who need consolidated observability with high-volume log retention and can manage the platform's operational complexity
Features
IPv6✓
DDoS protection✓
Automated backups✓
Snapshots✓
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing✓
Free tier
Tags
Tags
free tierapi accessteam featuressso
free tieropen sourceself hostableapi accessteam features
Visit Datadog →Visit Elastic Observability →

Datadog

Pros

  • + Deepest product breadth in observability: infrastructure, APM, logs, synthetics, RUM, security on one agent and one platform
  • + List pricing is public — $15/host/mo Infrastructure Pro, $31/host APM bundled — unusual for this market
  • + Strong correlation workflow: traces linked to logs, metrics and deploy events shortens incident debugging
  • + Regional data residency choice with fully isolated sites in the US, Germany, UK, Japan and Australia
  • + Mature alerting, dashboards and docs, with 600-plus integrations across the stack

Cons

  • - Costs compound fast at scale — logs, indexed spans and custom-metric overage routinely break budgets
  • - Complex multi-meter billing makes forecasting harder than the per-host headline suggests
  • - Free tier is evaluation-grade only: 5 hosts, one day of retention
  • - Product sprawl multiplies SKUs and contract surface area
  • - Site choice at sign-up is effectively permanent — migration between regions is a rebuild
View full Datadogreview →

Elastic Observability

Pros

  • + One search engine for logs, metrics, traces, synthetics and RUM with a single query language
  • + Open source again (AGPLv3/SSPL/ELv2 since August 2024) — self-managed deployments are free
  • + Cheap volume-tiered ingest on serverless: from $0.07/GB (Logs Essentials) with $0.017/GB-month retention
  • + Data tiers and searchable snapshots keep long retention affordable while staying queryable
  • + 50+ cloud regions on AWS, Google Cloud and Azure with FedRAMP High, SOC 2 Type II, ISO 27001, HIPAA, PCI DSS

Cons

  • - Genuine learning curve: query DSL, index lifecycle, shard and mapping decisions
  • - Self-managed operation (JVM tuning, upgrades, snapshots) is a real operational project
  • - Meters run on enriched pre-compression volumes and "as low as" rates are volume-tiered — bills surprise the unprepared
  • - Support priced as a percentage of spend (5% Gold, 10% Platinum, 15% Enterprise on top of consumption)
View full Elastic Observabilityreview →

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