OpenUBA vs Progress Flowmon
OpenUBA
openuba.orgProgress Flowmon
progress.comSide by side
| Figure | OpenUBA | Progress Flowmon |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Anomaly Detection Software | 7.4 (#13) | 7.6 (#9) |
| Deployment | The README describes the platform as Kubernetes-native and says it can be deployed to a Kind development cluster or a production Kubernetes cluster. | Flowmon Collector and Probe are offered as virtual, cloud, or hardware appliances. |
| Purpose | OpenUBA is an open-source User and Entity Behavior Analytics framework for security analytics. | Flowmon is a network and security monitoring platform that uses AI-based detection to identify cyber threats and anomalies and provide network and application performance insights. |
Plans
In their own words
OpenUBA
OpenUBA is a free, open-source User and Entity Behavior Analytics framework for security analytics. It analyzes behavior with machine-learning models to identify anomalies, assign risk scores, and produce classifications. The dashboard covers entity monitoring, risk trends, job orchestration, case management, and real-time behavioral baselines for tracking 10,000+ users. Data ingestion supports Spark, Elasticsearch, and CSV, and the project describes the platform as SIEM agnostic. Rule Studio provides a visual flow-graph builder for detection logic, while matching rules can trigger real-time alerts. Cases can be triaged, escalated, and resolved in built-in workflows. Models use a model.yaml configuration and MODEL.py interface with train() and infer() methods; examples use scikit-learn, TensorFlow, PyTorch, Keras, and NetworkX. A Kubernetes-native operator runs jobs in ephemeral containers, with GraphQL logs and monitoring. Deployment is self-hosted on Kind or production Kubernetes clusters.
Progress Flowmon
Progress Flowmon is a network and security monitoring platform for detecting threats and examining network and application performance. Flowmon ADS applies behavior analysis to traffic to expose malicious activity, attacks, data breaches, and indicators of compromise, including in encrypted traffic. Network operations tools cover visibility, troubleshooting, capacity planning, dashboards, reports, root-cause analysis, and SLA measurement. Supported flow formats include NetFlow, IPFIX, sFlow, jFlow, cflowd, NetStream, and RFC formats, plus cloud-native FlowLogs from Azure, AWS, and Google Cloud Platform. Flowmon integrates with network access control, authentication, firewall, and incident-response tools, and provides a documented REST API. Collector and Probe can run as virtual, cloud, or hardware appliances, with hybrid deployment available. Progress describes scaling from small and midsize businesses to large enterprises. A free, expert-guided 30-day Proof of Concept precedes final sizing and pricing through Progress’s partner network.