Application Performance Monitoring​
Fast & Cost-Effective APM with AI-based sampling. Runs On-Prem with no traces data sent out of your cloud.​
Easy log management with fast search & data privacy at the core. No log data leaves your cloud. Ever.​
Track hosts, databases, containers, and cloud services in real time — with unlimited retention and full data control.​​
Track every user journey in real time. Get instant visibility into performance bottlenecks with 4X faster, on-prem RUM.
Prevent downtime before it happens with proactive, scripted tests. Simulate user journeys and detect issues before customers are impacted.​
Catch every error in real time. Aggregate, analyze, and resolve issues 4× faster with CubeAPM.
Track Kubernetes clusters, nodes, and pods with real-time performance insights
Application Performance Monitoring​
Fast & Cost-Effective APM with AI-based sampling. Runs On-Prem with no traces data sent out of your cloud.​
Easy log management with fast search & data privacy at the core. No log data leaves your cloud. Ever.​
Track hosts, databases, containers, and cloud services in real time — with unlimited retention and full data control.​​
Track every user journey in real time. Get instant visibility into performance bottlenecks with 4X faster, on-prem RUM.
Prevent downtime before it happens with proactive, scripted tests. Simulate user journeys and detect issues before customers are impacted.​
Catch every error in real time. Aggregate, analyze, and resolve issues 4× faster with CubeAPM.
Track Kubernetes clusters, nodes, and pods with real-time performance insights
Coralogix Pricing Calculator
Estimate Coralogix Costs at scale
Coralogix offers usage-based, predictable pricing but total cost still depends on how much data traces, logs and metrics your systems generate and retain. This calculator helps teams estimate Coralogix costs across logs and usage before scaling production workloads.
Use the calculator below to model your expected spend and evaluate how it compares as your observability needs grow.
APM
Log Management
Infrastructure Monitoring
AI Eval
Total Data Transfer (charged by cloud platform)
Total Cost
This calculator is not affiliated with or endorsed by Coralogix. It is intended to provide a ballpark cost estimate only. For official and up-to-date pricing, please refer to the Coralogix Pricing page.
To give feedback or report any discrepancy, reach out to [email protected]
What this Coralogix Pricing Calculator Accounts For
This pricing calculator estimates your expected Coralogix spend based on common real-world usage patterns. It models how costs change as log volume increases, retention periods extend, and observability usage expands across environments.
The estimate is intended for planning and comparison, not as a final invoice. Actual pricing may vary depending on contract terms, negotiated discounts, or changes in telemetry patterns. The goal is to give teams early visibility into how Coralogix pricing behaves as systems grow.
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How Coralogix Pricing Works
Coralogix follows a usage-based pricing model designed to make observability spend more predictable as environments scale. Pricing is driven primarily by telemetry data volume, especially logs, rather than by the number of hosts, containers, or agents.
From a billing perspective, this means:
- Costs scale with how much data is ingested, processed, and retained
- Spend can be estimated based on expected usage instead of infrastructure size.
- Pricing feels more predictable compared to traditional host-based APM tools
At the same time, predictability does not mean costs remain static. As traffic grows, services become more distributed, and observability usage expands, total telemetry volume increases and pricing scales accordingly. This is why modeling Coralogix costs upfront is important, even for teams that value usage-based billing.
How Coralogix Manages Cost and Where Costs Still Accumulate
Coralogix is designed to help teams manage observability costs through a combination of streaming-based processing, flexible archival options, and built-in optimization tooling. Together, these mechanisms improve efficiency and predictability, especially for log-heavy environments.
Coralogix manages cost in several key ways:
Streaming-first architecture
Telemetry data is processed in real time through streaming pipelines, allowing teams to extract value without indexing all logs upfront. This reduces unnecessary indexing and improves platform efficiency.
Selective indexing and analytics
Teams can control what data is indexed and analyzed, which helps limit processing overhead as log volume grows.
Customer-Controlled Archival
Logs can be stored in customer-owned cloud storage, reducing long-term storage costs within the Coralogix platform and providing more flexibility over retention.
TCO Optimizer
Coralogix provides tooling to help teams tune ingestion, retention, and feature usage, reducing waste and improving cost efficiency inside the platform.
At the same time, there are structural cost factors that remain:
Data movement is unavoidable
Telemetry must still be transmitted from production systems to Coralogix ingestion endpoints, and queries may involve data movement between customer storage and Coralogix processing layers.
Cloud egress costs still apply
Coralogix supports long-term retention by archiving logs, traces, and metrics to your own cloud storage bucket. Retention is effectively unlimited, as you can store as much history as your bucket allows. However, you still incur the data-out cost (charged by your cloud provider like AWS) because you first send your telemetry data out from your cloud to Coralogix cloud.
Scale amplifies cost visibility
These costs are often minimal at small scale, but become more noticeable in medium and large environments.
Coralogix’s architecture and tooling help reduce inefficiencies and improve predictability, but total observability cost is still shaped by data volume, retention strategy, and how telemetry flows across infrastructure boundaries.
What Influences Your Coralogix Bill in Practice
Even with predictable pricing, Coralogix costs tend to follow consistent patterns in production environments:
Log volume grows over time
As systems mature, teams add more structured logging for retries, background jobs, and edge cases.
Incidents amplify usage
Log volume and query frequency spike at the same time during outages.
Retention compounds cost
Longer retention improves investigations and compliance but multiplies storage and processing expense. Feature adoption expands naturally. Teams usually start with logs and later add alerts, dashboards, analytics, and tracing, increasing usage incrementally.
These factors explain why cost behavior often changes significantly as environments scale.
Coralogix Pricing Across Different Scales
Coralogix pricing typically behaves differently depending on environment size:
Small environments
Costs are usually manageable and stable. Telemetry volume is predictable, and observability usage is focused on basic debugging.
Medium environments
Log volume accelerates due to microservices, asynchronous processing, and higher traffic. Retention and analytics usage increase, making cost monitoring necessary.
Large environments
Pricing remains predictable, but total spend becomes material. Observability cost shifts from a tooling concern to a platform and budget-ownership decision.
Coralogix vs CubeAPM: Pricing & Cost Model Comparison
Coralogix focuses on making SaaS-based observability more efficient by optimizing ingestion and processing within its managed pipelines.
CubeAPM, by contrast, rethinks observability economics by aligning costs with infrastructure teams already control. Through self-hosted deployment, reduced data movement, and intelligent sampling that preserves high-value signals, CubeAPM gives engineering and FinOps teams tighter cost governance and more predictable spend as observability scales.
| Features | Coralogix | CubeAPM |
|---|---|---|
| Pricing Model | Consumption-based pricing; different for logs ($0.42/GB), traces ($0.16/GB), metrics ($0.05/GB) | Ingestion-based pricing; the same for logs, metrics, and traces ($0.15/GB) |
| Cost predictability | Moderate - tied to volumes and pipelines chosen; teams must plan data routing/retention to predict spend | High - linear pricing with clear per-GB rates; predictable even as ingest scales, as cost not tied to hosts/users/features |
| Log retention | Infinite retention | Unlimited retention |
| Sampling | Streama-based, tail-based, conditional error sampling | Smart sampling - fully automated, context-aware |
| Deployment | Mostly SaaS-based | Self-hosted and vendor-managed |
| Support | 24/7 chat, Email; response in minutes | Slack, WhatsApp; response in minutes |
Estimate Your Coralogix Costs Before You Scale
Use the Coralogix pricing calculator above to estimate your observability costs based on current and projected usage. Understanding cost behavior early helps teams choose an observability approach that scales sustainably not just predictably as systems grow.