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Elastic Observability vs Dynatrace

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

Quick Verdict

4.0/5

Elastic Observability

0 reviews

3.8/5

Dynatrace

0 reviews

Elastic Observability is rated higher (4.0 vs 3.8). Unified observability platform that collects and analyzes metrics, logs, and traces from servers, applications, and services. Built for DevOps teams managing complex distributed systems. Dynatrace uses Davis AI to automatically detect problems, root causes, and dependencies across your full technology stack. Full-stack observability with minimal manual configuration.

Elastic Observability

Elastic Observability

Real-time visibility into infrastructure, applications, and logs

Dynatrace

Dynatrace

AI-powered observability and AIOps platform

Overview
Rating4.0 (0 reviews)✓3.8 (0 reviews)
Pricing modelfreemiumpaid
Starting priceFree tier available✓From $7/mo
Best forEngineering teams running Elasticsearch who need consolidated observability with high-volume log retention and can manage the platform's operational complexityLarge enterprise teams wanting AI-driven automatic problem detection across their entire technology stack, where incident cost justifies platform spend
Features
IPv6
DDoS protection
Automated backups
Snapshots
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing
Free tier✓
Tags
Tags
free tieropen sourceself hostableapi accessteam features
api accessteam featuressso
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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 →

Dynatrace

Pros

  • + Davis causal AI and OneAgent auto-discovery replace manual alert wiring with root-cause answers
  • + Single platform for APM, infrastructure, logs, RUM, synthetics and runtime security
  • + Published rate card with no per-seat fees and no overage premiums on DPS commitments
  • + Deep compliance packaging (ISO 27001, SOC 2 Type II, FedRAMP Moderate, HIPAA) and unlimited seats
  • + 900+ supported technologies, OpenTelemetry ingest, hybrid and mainframe coverage

Cons

  • - Expensive: annual commitment required, bills scale with host memory (4 GiB floor)
  • - No permanent free plan (15-day trial) and no month-to-month option
  • - Capability sprawl means many meters to forecast; renewal conversations get complex
  • - SaaS-only — no self-hosted deployment for strict data-residency or air-gapped environments
View full Dynatracereview →

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