Prometheus vs Elastic Observability
A detailed comparison to help you choose between Prometheus and Elastic Observability.
Quick Verdict
4.2/5
Prometheus
0 reviews
4.0/5
Elastic Observability
0 reviews
Prometheus is rated higher (4.2 vs 4.0). Prometheus is the leading open source metrics monitoring system. Pull-based metrics collection, PromQL query language, and Alertmanager. Kubernetes-native. Self-hosted with integrations for 200+ services. Unified observability platform that collects and analyzes metrics, logs, and traces from servers, applications, and services. Built for DevOps teams managing complex distributed systems.
Prometheus Open source metrics and alerting system | Elastic Observability Real-time visibility into infrastructure, applications, and logs | |
|---|---|---|
| Overview | ||
| Rating | 4.2 (0 reviews)✓ | 4.0 (0 reviews) |
| Pricing model | free | freemium |
| Starting price | Free | Free tier available |
| Best for | DevOps and platform teams that want the Kubernetes-native open-source metrics standard they fully control, and accept running the storage and HA story themselves. | 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 tieropen sourceself hostable | free tieropen sourceself hostableapi accessteam features |
| Visit Prometheus → | Visit Elastic Observability → | |
Prometheus
Pros
- + Free and open source under Apache 2.0 with independent CNCF governance — no per-node or per-metric licensing
- + The industry-standard metrics stack: PromQL, multidimensional labels, and exporters for most software you already run
- + Kubernetes and Consul service discovery keep target configuration sane at container scale
- + Simple core: single autonomous nodes with local TSDB and a documented operational model
- + CNCF graduated since 2018 with a decade of production history and a very active contributor community
- + Honest documentation — storage constraints and the security model are stated plainly, including what the product deliberately does not do
Cons
- - No built-in long-term storage or global HA — Thanos, Cortex, or Grafana Mimir are separate operational projects
- - High-cardinality labels can blow up RAM and disk with no guardrails in the product
- - No built-in authentication or encryption; endpoints must be kept behind a perimeter by design
- - Multi-tenancy and access control are absent from the core
- - Community support only for the open-source download — SLAs come with paid managed offerings
- - PromQL and histogram handling have a genuine learning curve for teams new to the model
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)
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