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Elastic Observability vs Grafana Cloud

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

Quick Verdict

4.0/5

Elastic Observability

0 reviews

3.9/5

Grafana Cloud

0 reviews

Elastic Observability is rated higher (4.0 vs 3.9). Unified observability platform that collects and analyzes metrics, logs, and traces from servers, applications, and services. Built for DevOps teams managing complex distributed systems. Grafana Cloud provides managed Grafana, Prometheus, Loki (logs), Tempo (traces), and k6 (load testing). Free tier includes 10,000 metrics series. Open source self-hosting also available.

Elastic Observability

Elastic Observability

Real-time visibility into infrastructure, applications, and logs

Grafana Cloud

Grafana Cloud

Open source observability platform — cloud and self-hosted

Overview
Rating4.0 (0 reviews)✓3.9 (0 reviews)
Pricing modelfreemiumfreemium
Starting priceFree tier availableFree tier available
Best forEngineering teams running Elasticsearch who need consolidated observability with high-volume log retention and can manage the platform's operational complexityTeams wanting a managed, self-hostable observability stack with a genuinely useful free tier and metrics, logs, and traces under one pane
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
free tieropen sourceself hostableapi accessteam features
Visit Elastic Observability →Visit Grafana Cloud →

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 →

Grafana Cloud

Pros

  • + Open source core (AGPLv3) across Grafana/Mimir/Loki/Tempo/Pyroscope — a real self-host exit
  • + Permanent free tier: 10k metric series, 50 GB logs/traces/profiles, 500 k6 VUh, no credit card
  • + Public Pro pricing ($19/mo platform fee, from $6.50/1k series) with automatic volume discounts
  • + 42 stack regions on AWS, Azure, and GCP including a Federal Cloud option

Cons

  • - Usage-based billing punishes metric cardinality and log verbosity — bills can spike on app-side mistakes
  • - PromQL/LogQL and label design have a real learning curve
  • - SLA is 99.5% (paid plans only) — below hyperscaler commitments
  • - Some enterprise RBAC/audit/reporting features require a quote-based Enterprise plan
View full Grafana Cloudreview →

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