epok
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Epok vs Elastic / ELK

Elasticsearch is the most widely deployed log search engine. Running it is a full-time job — JVM tuning, shard sizing, ILM policies, version upgrades. Elastic Cloud removes the ops burden but adds the bill, and automatic detection still lives behind the Platinum tier.

SIDE BY SIDE
Capability
Elastic / ELK
Epok
Pricing model
Elastic / ELKSelf-hosted (free software + ops time) or Elastic Cloud (per-node / metered). ML detection requires Platinum.
EpokFlat monthly. Every detector and full AI root cause included — no tier to unlock.
Search
Elastic / ELKElasticsearch full-text search with aggregations, nested queries, and an extensive query DSL.
EpokA simpler search syntax, purpose-built for log queries. Fast for filtering and exploring; not a general-purpose search engine.
Anomaly detection
Elastic / ELKElastic ML (requires Platinum or Enterprise). Manual job configuration per index.
EpokAutomatic detection on every tier — new failures, anomalies, silent services, regressions, and cascades. No job to configure.
Dashboards
Elastic / ELKKibana — extensive visualization library, Lens, Canvas, saved objects, drill-downs. Mature and powerful.
EpokBasic built-in dashboards. Sufficient for incident investigation; not a general-purpose visualization tool.
Data ingestion
Elastic / ELKLogstash, Beats, Elastic Agent, Fleet. Flexible and well-documented, but complex to configure and maintain.
EpokJSON, Loki, OTLP, syslog, Elasticsearch bulk API, FluentBit, Fluentd, CloudWatch. No proprietary agents.
Index management
Elastic / ELKRequired. ILM policies, shard sizing, rollover, index templates, mapping conflicts. Ongoing overhead.
EpokAutomatic. No index management, no shard tuning, no mapping configuration.
Ops burden
Elastic / ELKHigh. JVM heap sizing, disk watermarks, shard rebalancing, upgrades. Self-hosted ELK commonly takes well over a day a month of operator time.
EpokZero. Fully managed. No infrastructure to maintain.
Traces
Elastic / ELKElastic APM — full distributed tracing, service maps, transaction profiling.
EpokTraces ingested and correlated with logs, metrics, RUM, and replay by shared trace ID.
SIEM / security
Elastic / ELKElastic Security — detection rules, timeline investigation, case management. A full SIEM platform.
EpokBasic security detection via log pattern analysis. Not a SIEM.
Root cause analysis
Elastic / ELKManual investigation via Kibana. No automatic RCA.
EpokAutomatic. What Changed analysis, blast radius, causal ranking, dimension lift — runs on every incident.
Protocol compatibility
Elastic / ELKNative Elasticsearch protocol. Beats and Logstash use proprietary formats.
EpokAccepts the Elasticsearch bulk API — the same format your Logstash output or Beats already produce.

Where Elastic / ELK wins

If you need application search (site search, e-commerce catalog), a SIEM for threat hunting, or APM with distributed tracing, Elastic is the more complete platform. But most teams running ELK for log management spend 10–20 hours/month on JVM tuning, shard rebalancing, and ILM policies — and still don't get automatic anomaly detection without paying for Platinum.

CHOOSE EPOK WHEN
  • You want anomaly detection without configuring ML jobs or writing rules.
  • You don't have ops time for JVM tuning, shard management, and ILM policies.
  • You need root cause analysis that runs automatically on every incident.
  • You'd rather not pay for the Platinum tier just to unlock detection features.
  • You're a small team that needs detection and root cause without a platform team.
  • You want predictable pricing without per-node or per-GB-indexed charges.
CHOOSE ELASTIC / ELK WHEN
  • You need full-text search beyond logs (application search, site search).
  • You need a SIEM for security analytics and compliance.
  • You need full Elastic APM with service maps and transaction profiling.
  • Your team has dedicated Elasticsearch ops expertise.
  • You rely on Kibana's advanced visualization and Canvas.
  • You need cross-index correlation with complex nested queries.
MIGRATION

Point your existing shipper at a new endpoint.

Epok accepts the Elasticsearch _bulk API. If you're running Logstash, point your Elasticsearch output at Epok's ingest endpoint and add your API key. If you're using Filebeat or other Beats, change the output.elasticsearch host and credentials. Same JSON format, same bulk protocol — only the host and API key change, no log format changes.

Epok also accepts Loki push, OTLP, syslog (RFC 5424/3164), FluentBit, Fluentd, CloudWatch subscription filters, and raw JSON over HTTP. If you want to migrate away from Beats entirely, any standard log shipper works.

LOGSTASH OUTPUT CONFIG
output {
  elasticsearch {
    hosts => ["https://ingest.getepok.dev"]
    user => "${EPOK_API_KEY}"
    password => "x"
    # Same _bulk format — only host + key
    # change; your filters stay untouched
  }
}
FILEBEAT OUTPUT CONFIG
output.elasticsearch:
  hosts: ["https://ingest.getepok.dev"]
  username: "${EPOK_API_KEY}"
  password: "x"
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.

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* 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.