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Coralogix

The Streaming Data Platform.

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Overview

Coralogix is a full-stack observability platform that provides in-stream analysis of logs, metrics, and traces without the need for indexing. Its Streama technology allows for real-time analysis and alerting, helping teams to identify and resolve issues faster while controlling data costs.

✨ Key Features

  • In-stream Data Analysis (Streama)
  • Log Management
  • Metrics Monitoring
  • Distributed Tracing
  • Security Log Analysis
  • Anomaly Detection

🎯 Key Differentiators

  • In-stream data analysis without indexing
  • Cost-effective pricing model
  • Real-time anomaly detection and alerting

Unique Value: Provides a full-stack observability platform that allows teams to analyze massive amounts of data without the high costs of indexing and storage, thanks to its unique streaming architecture.

🎯 Use Cases (5)

Log Management and Analytics Full-Stack Observability Cloud Cost Management SIEM and Security Analytics Troubleshooting and Debugging

✅ Best For

  • Reducing observability data costs by analyzing data in-stream
  • Automated log pattern analysis to identify new and unusual errors

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Organizations that require on-premises deployment
  • Teams that need deep, agent-based APM with code-level visibility

🏆 Alternatives

Splunk Datadog Elastic

Offers a fundamentally different, and potentially much more cost-effective, approach to data processing and analysis compared to traditional index-based observability platforms.

💻 Platforms

Web API

🔌 Integrations

AWS Kubernetes Fluentd Logstash Prometheus OpenTelemetry

🛟 Support Options

  • ✓ Email Support
  • ✓ Live Chat
  • ✓ Dedicated Support (Enterprise tier)

🔒 Compliance & Security

✓ SOC 2 ✓ HIPAA ✓ BAA Available ✓ GDPR ✓ ISO 27001 ✓ SSO ✓ SOC 2 Type II ✓ ISO 27001 ✓ HIPAA ✓ GDPR

💰 Pricing

Contact for pricing
Free Tier Available

✓ 14-day free trial

Free tier: Up to 2GB/day

📊 Market Info

Customers: 2000+

Total Funding: $238.2M

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