Arango AI Data Platform for AIOps & ITOps
Smarter operations. Faster recovery. Lower cost.
Traditional monitoring misses the links between events and systems. Arango connects logs, metrics, and telemetry in real time to predict failures and automate recovery.
Arango AI Suite
The context layer: add graph-native co-pilots that detect anomalies, reveal root causes, and prevent outages.
Anomaly Detection
Surface hidden issues across logs, traces, and metrics with graph analytics.
Root Cause Analysis
Reveal dependencies between assets and services that traditional tools miss.
Predictive Maintenance
Co-pilots anticipate failures before they happen with graph and vector analysis.
Automated Response
Co-pilots recommend or trigger remediations to reduce downtime and costs.
Arango Data Platform
The trusted data foundation: unify logs, telemetry, and configuration data in one governed platform for real-time AIOps.
IoT + Telemetry Integration
Ingest billions of machine signals continuously.
Dependency Graphs
Connect topology, service flows, and events for 360° visibility.
Scalable Monitoring
GPU-accelerated queries across high-volume logs and metrics.
Governance & Security
Lineage, access controls, and auditability for IT environments.
Legacy Modernization
Replace siloed monitoring tools with a multi-model, cloud-ready data foundation.
Trusted by Leaders in IT Operations
Telenor (Telecom Ops): Analyzed 50K+ machine logs with Arango to improve incident detection and lower infrastructure costs.
Up to 8× faster than Neo4j
Accelerates dependency graph queries for incident response.
1.1M JSON docs/sec sustained write throughput
Ingests logs and metrics continuously for real-time co-live stream pilots.
Multi-model performance gains
Unify metrics, events, and topology data in one system.
Additional Use Cases
Arango: Built for the Future of AIOps & ITOps
Detect anomalies earlier, recover faster, and reduce costs with one trusted data platform.