Stateful streaming analytics with machine learning enables teams to monitor and visualize observability data in real-time before indexing.
Offers real-time evaluation of AI data with infinite retention stored in your own bucket. This includes 24/7 human support, unlimited users, hosts, and sources, along with full access to enterprise features.
Designed for organizations with strict regulatory or auditing requirements. It offers long-term storage and immutable logging to meet compliance standards, such as HIPAA, SOC 2, or GDPR. This product ensures that all log data is retained securely for extended periods, with enforced data integrity and access control. Ideal for audit trails and forensic analysis, it supports seamless integration with enterprise security workflows while minimizing risk of data tampering or loss.
Enables rapid, high-volume log query access for real-time troubleshooting and operational intelligence. Optimized for performance, it allows users to search through recent logs with minimal latency, making it ideal for developers, SREs, and DevOps teams who need to investigate incidents quickly. The tier supports high ingestion volumes and is built to handle frequent, complex search queries without degrading performance.
Delivers proactive infrastructure and application visibility. It enables teams to track system performance, uptime, and error rates using dashboards, alerts, and analytics. With automated anomaly detection and customizable thresholds, it empowers engineering teams to detect and resolve issues before they impact users. Integrated across logs, metrics, and traces, this product supports holistic observability.
Captures, stores, and analyzes time-series data from applications and infrastructure. It supports high-resolution metric collection with customizable dashboards and alerts for performance and availability tracking. Integrated with logs and traces, this product provides contextual observability, enabling teams to correlate metrics with events for more effective monitoring and troubleshooting.
Offers long-term retention and secure storage of distributed trace data for regulatory and security purposes. It captures trace-level insights into system performance, with controls in place to meet compliance needs. Ideal for organizations requiring traceability and auditability in microservices environments, this product supports investigations and audits while maintaining data fidelity.
Tailored for engineers needing fast access to recent distributed traces. It enables efficient debugging and root-cause analysis by providing low-latency search and filtering across spans. This product is optimized for frequent querying of trace data in development, testing, and production environments, helping teams quickly resolve latency and dependency issues.
Provides real-time performance monitoring across distributed systems by analyzing trace data. It helps identify bottlenecks, service latency, and error rates through visualizations and alerting mechanisms. Designed for observability in microservices, this product supports SLA enforcement and improves mean time to resolution by offering deep visibility into request flows.
Supplier | Coralogix | Datadog |
---|---|---|
Median Contract Value | $89,759 | $148,981 |
Avg Savings | - | 9.78% |