Last updated: March 2026
TraceKit vs Elastic APM: Instant APM Without the Elasticsearch Overhead
Elastic APM is the APM layer built on top of Elasticsearch -- powerful for teams already running the ELK stack. TraceKit is a batteries-included APM with frontend observability, session replay, and live code monitoring -- no Elasticsearch cluster required, no KQL to learn, setup in under 5 minutes.
Pricing and feature information is based on publicly available data as of March 2026. Check Elastic's website for the latest.
Why developers choose TraceKit
Live Code Monitoring
Set live breakpoints in production code and capture variable state without redeploying. Elastic APM captures traces and errors but offers no interactive production debugging -- you need to add logging and query Elasticsearch to investigate specific issues.
No Cluster Management Required
TraceKit is a managed service -- no Elasticsearch clusters to size, tune, or upgrade. Elastic APM self-hosted means managing Elasticsearch nodes, shard allocation, index lifecycle policies, and capacity planning.
Predictable Flat Pricing
$29/month flat vs Elasticsearch cluster costs that scale with data volume. No need to forecast shard counts, estimate storage growth, or worry about cluster resize costs.
Feature Comparison
| Feature | TraceKit | Elastic APM |
|---|---|---|
| Tracing | ||
| Distributed Tracing | Yes | Yes (Elastic APM) |
| Auto-Instrumentation | Yes (OpenTelemetry) | Yes (OpenTelemetry + Elastic agents) |
| Trace Visualization | Waterfall + Flamegraph | Waterfall + service map |
| Monitoring | ||
| Live Code Monitoring | Yes -- breakpoints without redeploy | No |
| Log Correlation | No | Yes (ELK stack native) |
| Custom Dashboards | Yes | Yes (Kibana) |
| Alerting | Yes | Yes (Elastic alerting) |
| Custom Metrics | Yes | Yes |
| Frontend Observability | ||
| Session Replay | Yes (linked to traces) | No |
| Source Maps | Yes (debug ID + upload CLI) | Yes (Elastic RUM) |
| Browser-to-Backend Traces | Yes (W3C traceparent) | Yes (Elastic RUM + APM) |
| Platform | ||
| Self-Hosted Option | No | Yes (Elastic license) |
| Setup Time | Under 5 minutes | 30-60 minutes (cluster + agent config) |
| Security Scanning | Built-in | No (separate Elastic Security) |
| Pricing | ||
| Pricing Model | $29/month flat | Free self-hosted / Cloud from $95/month |
| All Features Included | Yes | Tiered (Elastic Cloud subscriptions) |
Pricing Comparison
TraceKit
$29/month
Flat monthly
One price includes distributed tracing, live code monitoring, custom metrics, dashboards, alerts, and security scanning. No cluster management required.
None. What you see is what you pay.
Elastic APM
Free (self-hosted, Elastic license), Elastic Cloud from ~$95/month for APM workloads
Self-hosted free / Cloud usage-based
Elastic APM is free when self-hosted under the Elastic license. Elastic Cloud pricing is based on deployment size, with APM workloads typically requiring a Standard or higher tier. Cloud deployments are billed by resource consumption (RAM, storage, vCPUs).
Self-hosted Elasticsearch clusters require significant operational effort -- sizing, tuning, upgrades, and scaling. Cloud costs grow with data retention and cluster size. Advanced features like machine learning anomaly detection require Platinum or Enterprise subscriptions.
Pricing considerations with Elastic APM
- Self-hosted is free but Elasticsearch clusters cost real money in infrastructure and operations time
- Elastic Cloud APM workloads start around $95/month and scale with data volume and retention
- ML anomaly detection and advanced features require Platinum or Enterprise subscriptions
- Cluster sizing mistakes lead to either wasted resources or performance degradation
Setup Comparison
See how TraceKit's setup compares to Elastic APM:
// Elastic APM: Configure agent + Elasticsearch endpoint
// import "go.elastic.co/apm"
// // Set environment variables:
// // ELASTIC_APM_SERVER_URL=https://your-cluster.es.us-central1.gcp.cloud.es.io:443
// // ELASTIC_APM_SECRET_TOKEN=your_secret_token
// // ELASTIC_APM_SERVICE_NAME=my-service
// TraceKit: One-line SDK setup
tracekit.Init("tk_your_key")When to choose Elastic APM
We believe in honesty. Elastic APM is a great product, and there are situations where it is the better choice.
- You are already running the ELK stack and want unified logs, metrics, and traces in Elasticsearch
- You need a self-hosted APM solution for data sovereignty or compliance requirements
- You want to leverage Elasticsearch's powerful search and analytics capabilities for APM data
- You need native log-to-trace correlation across large-scale log analytics workloads
Frequently Asked Questions
For distributed tracing, frontend error tracking, session replay, and production debugging -- yes. TraceKit covers core APM needs without requiring an Elasticsearch cluster. If you need self-hosted APM, unified log-trace correlation via ELK, or are already invested in the Elastic ecosystem, Elastic APM is the better fit.
TraceKit is $29/month flat for all features. Elastic APM is free when self-hosted (but you pay for Elasticsearch infrastructure), and Elastic Cloud starts around $95/month for APM workloads. The true cost of self-hosted Elastic APM includes infrastructure, operational time, and expertise.
The Elastic APM server and agents are free under the Elastic license for self-hosted deployments. However, you need an Elasticsearch cluster to store and query APM data. Running that cluster -- whether on your own servers or a cloud provider -- has real infrastructure and operational costs.
No. Elastic APM offers Real User Monitoring (RUM) for frontend performance data, but does not include session replay. TraceKit includes session replay linked to distributed traces, so you can watch exactly what a user experienced and correlate it with backend performance data.
Yes. Both Elastic APM and TraceKit support OpenTelemetry. If you are using OpenTelemetry instrumentation, you can redirect your exporters to TraceKit with minimal changes. If you are using Elastic APM agents, you would switch to OpenTelemetry SDKs. Historical data stored in Elasticsearch would not migrate.
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