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Epok vs Grafana + Loki

Loki stores your logs cheaply. Grafana visualizes them. But neither tells you when something is wrong — that's on you. You write the alert rules, build the dashboards, tune the thresholds, and maintain it all as your services change. Epok does that part automatically.

SIDE BY SIDE
Capability
Grafana + Loki
Epok
Pricing model
Grafana + LokiOpen source (self-host + ops time) or Grafana Cloud (metered). You build and maintain the alerting and dashboards.
EpokFlat monthly. Detection and root cause come built — nothing to wire up.
Log storage
Grafana + LokiLoki stores logs in object storage (S3, GCS, MinIO) with a label-based index. Cost-efficient at scale.
EpokPurpose-built columnar log store on local SSD. Schemaless ingestion, automatic compression.
Search language
Grafana + LokiLogQL — label selectors plus pipeline stages. Familiar if you know PromQL.
EpokA purpose-built log search syntax. Full-text search, field filters, stats aggregation.
Dashboards
Grafana + LokiGrafana is best-in-class. Hundreds of panel types, templating, annotations, alerting integration.
EpokBasic. Service dashboards, volume charts, detector views. Not a general-purpose visualization platform.
Anomaly detection
Grafana + LokiManual alert rules only. You write LogQL/PromQL queries, set thresholds, and maintain rules per service.
EpokAutomatic across every signal — new failures, anomalies, silent services, regressions, and cascades.
Root cause analysis
Grafana + LokiNone. Investigation is manual: write queries, compare dashboards, trace through logs.
EpokAutomatic. What Changed analysis, dimension lift, causal ordering, cross-service cascade timeline, AI explanations.
Grouping repeated errors
Grafana + LokiNone built-in. Some community plugins exist for basic log pattern analysis.
EpokAutomatic. Errors that share a shape fold into one alert, so dozens of variants don't become dozens of pages.
A service going silent
Grafana + LokiManual. Requires absent()/absent_over_time() in PromQL, per metric, per service. Easy to miss.
EpokAutomatic, with awareness of expected quiet periods — catches a service that stops logging when it normally logs.
Setup effort
Grafana + LokiLoki: hours to stand up, weeks to make production-grade, then ongoing operator time to maintain.
EpokSend logs over HTTP. Detectors activate automatically. No dashboards to build, no alert rules to write.
Protocol support
Grafana + LokiLoki push API (Promtail, Grafana Alloy, FluentBit plugin). OTLP in newer versions.
EpokLoki push (native), Elasticsearch bulk, OTLP, FluentBit, Fluentd, syslog, CloudWatch, raw JSON. Same Promtail/Alloy config works.
Unified observability
Grafana + LokiYes. Grafana unifies Loki, Prometheus/Mimir, and Tempo in one UI — you wire up the sources and dashboards.
EpokYes. Logs, metrics, traces, RUM, and replay correlated on one canvas by shared trace ID — automatically.

Where Grafana + Loki wins

If you already run Prometheus + Tempo + Loki, Grafana gives you a unified view across all three telemetry types in one UI, and a vast library of community dashboards and plugins for slicing that data exactly how you want. Epok correlates signals automatically rather than handing you a canvas to build — if your team prefers fully custom, hand-built dashboards, Grafana is the deeper toolkit.

Loki's label-based architecture means storage costs scale with cardinality, not message size. And the Grafana ecosystem — community dashboards, 200+ plugins, and a massive user base — means you're never starting from scratch when you need a custom visualization.

CHOOSE EPOK WHEN
  • You want automatic anomaly detection and root cause analysis without writing LogQL alert rules or maintaining dashboards.
  • Your team is small and you don't have engineering hours to spend on observability infrastructure setup and maintenance.
  • You want detection on day one, not after weeks of dashboard building and threshold tuning.
CHOOSE GRAFANA + LOKI WHEN
  • You already run Prometheus and Tempo and want unified logs/metrics/traces in a single Grafana instance.
  • You need extensive custom dashboards with templated variables, annotations, and cross-data-source correlations.
  • You have platform engineers who can invest time in Loki operations, alert-rule authoring, and dashboard maintenance.
MIGRATION

Point your existing shipper at a new endpoint.

Epok accepts the Loki push protocol natively. If you run Promtail, Grafana Alloy, or any client that pushes to Loki's /loki/api/v1/push endpoint, point a copy at Epok. Same protocol, same config, same labels.

You can run both side by side. Keep Grafana for hand-built dashboards. Let Epok watch your logs, metrics, and traces for anomalies and draft the root cause. They complement each other.

Read the migration guide →

Run them side by side. No card.

Dual-ship a copy of your telemetry for a week and compare what each tool actually catches. Every detector and full AI included in the trial.

Start 14-day trial — no cardOpen the live demo →See pricing

* Capability comparisons, and any time or effort estimates, reflect our reading of publicly documented features and our own deployment experience as of June 2026. They may not capture every plan, feature, or recent change — verify current capabilities directly with each vendor.

Datadog, Splunk, Elastic, Grafana, Loki, Amazon CloudWatch, and other product and company names are trademarks of their respective owners. Epok is not affiliated with, endorsed by, or sponsored by them.