AI TOOL PROFILE
Coralogix Observability Platform
- Software Development
- Observability Platform
- Software companies
- Enterprise companies
- Mid-market companies
- DevOps teams
Pricing
Coralogix uses a usage-based model based on 'units.' Costs include $0.05 per GB for metrics, $0.16 per GB for traces, $0.42 per GB for logs, and AI evaluation at $1.50 per 1M tokens.
At a glance
- Best for
- Software companies, Enterprise companies, Mid-market companies, DevOps teams
- Key use cases
- Cross-Stack Telemetry Monitoring, AI Agent Performance Tracking, Edge Security Analytics, Compliance Data Archiving
- Integrations
- OpenTelemetry, AWS, Azure, GCP, Terraform
- Official website
- Visit coralogix official website
How AI is used
Coralogix is an observability platform designed to unify logs, metrics, and traces into a single interface. It uses a proprietary engine called DataPrime to allow users to query different data types using a unified syntax, which may reduce the need to learn multiple query languages.
The tool is built for software companies that handle high event volumes. It supports a storage model where data is kept in the user's own cloud storage buckets, which is intended to provide more control and avoid vendor lock-in.
Beyond system monitoring, the platform includes tools for AI observability, such as agent performance monitoring and security guardrails. Buyers should consider their technical capacity, as the platform is geared toward engineers and technical users.
Before choosing Coralogix, buyers should evaluate their data pipeline needs and confirm how the unit-based pricing model aligns with their expected monthly data ingestion.
Key Features
DataPrime Engine
A proprietary engine that provides a unified query syntax for logs, metrics, and traces.
Remote Index-Free Querying
Supports querying data directly from cloud storage without requiring traditional indexing.
Infinite Retention
Supports storing data indefinitely in the user's own S3 cloud storage buckets.
AI Observability Center
Includes tools for AI discovery, monitoring agent performance, and enforcing safety guardrails.
TCO Cost Optimizer
Designed to help users manage costs by routing critical data to analysis pipelines and low-value data to archives.
Enterprise Access Controls
Provides built-in RBAC, SSO with SAML, and audit trails for organizational security.
Use Cases
Cross-Stack Telemetry Monitoring
Ingesting logs, metrics, and traces into one platform to support troubleshooting and system analysis.
AI Agent Performance Tracking
Using AI observability tools to monitor agent behavior, cost, and operational metrics.
Edge Security Analytics
Analyzing edge telemetry in real time to detect threats and correlate signals from WAF and CDN.
Compliance Data Archiving
Storing telemetry data in a user-owned cloud bucket to meet long-term retention requirements.
Integrations
- OpenTelemetry
- AWS
- Azure
- GCP
- Terraform
- Kubernetes
- Prometheus
- Slack
- PagerDuty
- Jira
FAQ
How does Coralogix handle data retention?
- Data is written to the user's own Amazon S3 bucket, which supports essentially infinite retention and allows remote querying from the UI.
What is the Coralogix pricing model?
- It uses a usage-based system called 'units,' where users pay for the volume of logs, metrics, and traces they ingest.
Does Coralogix offer a free trial?
- Yes, a 14-day free trial is available with a quota of 8 units.
Source category: Software Development
Source subcategory: Observability Platform
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