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.
Representative production boundary · shadow mode · no cutover · pre-agreed scorecard
Keep Elastic / ELK. Make Epok prove what it adds.
Choose a representative boundary
Mirror a service group, ownership domain, environment, or critical user journey through OTel or an open shipper.
Keep every alert
Elastic / ELK remains the control while Epok watches the same production window.
Score the incident cohort
Classify correct, incorrect, abstained, and missed outcomes; measure alert fanout, time to verified cause, and responder effort.
Success is not “data arrived” or one anecdote. Expansion requires performance across the agreed incident cohort and operational gates.
| Dimension | Elastic / ELK | Epok |
|---|---|---|
| What it is | The Elastic Stack — Elasticsearch, Kibana and integrations — used for search, logs, observability and security from one engine. | A multi-signal detection engine. Logs, metrics, traces, infrastructure, RUM and session replay correlated on one incident canvas. |
| Billing basis | Depends on deployment: self-managed is subscription-licensed on node count and RAM, Elastic Cloud Hosted is priced on provisioned resources, Elastic Cloud Serverless is usage-based. | Each plan includes one unified volume allowance. Paid-plan overage is $0.20/GB; there is no per-host, per-user, per-custom-metric, per-query or cardinality line. |
| Who runs it | Your choice of self-managed, Elastic Cloud Hosted or Elastic Cloud Serverless. Self-managed means the cluster, its shards and its upgrades are yours to tune. | Hosted SaaS. Nothing for you to deploy, scale or upgrade. |
| Data collection | Elastic Agent and Beats, Logstash, or OpenTelemetry. | No proprietary Epok server agent: send with OTLP or an open shipper such as Vector, Fluent Bit, Fluentd or the OpenTelemetry Collector. Browser RUM and replay require web instrumentation. |
| How detection is set up | Kibana rules you author. Machine-learning anomaly detection is listed at the Platinum subscription tier. | Immediate rule packs begin matching supported signals as data arrives. Statistical detectors activate after they have the required history and signal coverage; threshold rules remain available when you want them. |
Elastic / ELK facts checked against Elastic pricing on 2026-08-03. Vendors change packaging and pricing — tell us if anything here has gone out of date and we'll fix it.
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.
- —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 need automatic detection and cited root cause without adding another platform-operations burden.
- —You want predictable pricing without per-node or per-GB-indexed charges.
- —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.
Add Epok as a second destination first.
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.
Keep Elastic / ELK. Make Epok prove the incident outcome.
Run a controlled shadow evaluation across a representative boundary. Compare both systems on the same incident cohort, then expand only after Epok clears the agreed quality, security, and operational gates.
* Capability comparisons, and any time or effort estimates, reflect our reading of publicly documented features and our own deployment experience as of August 3, 2026. They may not capture every plan, feature, or recent change — verify current capabilities directly with each vendor.
Datadog, New Relic, 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.