Data Engine

Cost & Usage Optimization

From the moment telemetry reaches the platform, Coralogix’s Data Engine parses, contextualizes, and optimizes usage and costs across all your data, without changing your source code or tools.

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Know what data is doing. Control what it costs.

visibility

See how data is utilized

Monitor where data is going, how much data is flowing, and which sources consume the most, so optimizations are based on fact, not guesswork.

budget

Align spend with business value

Keep critical data instantly accessible while keeping lower-value signals in cheaper tiers, so storage costs reflect what actually matters to the business.

filter

Keep costs predictable as data scales

Track consumption over time, spot over- and under-utilization, and allocate capacity across teams so telemetry growth never creates a surprise bill.

Control costs as data scales

TCO Optimizer

Set policies that route data to the right storage tier by business value, reducing storage costs across the board while keeping critical signals instantly accessible.

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See what data is going where, and why it matters.

Data Usage

Monitor observability usage across logs, metrics, traces, and more. Break usage down by entity type, TCO priority, and timeframe to understand trends, investigate anomalies, and support cost planning.

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Manage capacities with greater predictability.

Quota Manager

Give admins a clear view of how teams consume their daily quota, spot over- and under-utilization, and rebalance team capacities, so data budgets reflect actual organizational priorities.

Inspect and optimize your pipeline.

Pipeline Analyzer

See exactly which parsing rules are firing and how they transformed each log. Compare raw and processed versions side by side to catch conflicts and troubleshoot issues before they affect dashboards or alerts.

Allocate data by priority

Data Plans

Allocate and manage data usage according to organizational priorities, so teams and domains get the capacity they need, and cost aligns to what the business values most.