clickvisual/clickvisual
ClickVisual is a lightweight log analytics and data visualization platform built on ClickHouse, designed for efficient log querying, analysis, and monitoring.
Awesome ClickHouse › Data Visualization and Analysis
akvorado/akvorado
Akvorado is a comprehensive flow collector, enricher, and visualizer designed to handle network flow data such as Netflow/IPFIX and sFlow. The project enriches incoming flow data by associating it with interface names through SNMP and adding geolocation information using IPinfo.io. This enriched data is then exported to Kafka and subsequently stored in ClickHouse, a columnar database management system optimized for real-time analytical queries. Akvorado also provides a web interface that allows users to browse and visualize the collected network flow data effectively. The visualizations include timeseries graphs and Sankey diagrams, which help in understanding traffic patterns and flow relationships within the network. Developed by the French ISP Free and licensed under the AGPLv3 license, Akvorado is positioned as a beta-quality tool aimed at network administrators and analysts who need to monitor and analyze network traffic flows. The project supports integration with Grafana through a dedicated plugin, enhancing its visualization capabilities and allowing users to create custom dashboards for network monitoring. Akvorado's architecture leverages Kafka for data streaming and ClickHouse for efficient storage and querying, making it suitable for handling large volumes of flow data in real-time. The project also offers a demo site with fake data to showcase its features and provide users with a hands-on experience without requiring their own flow data input. Overall, Akvorado is a powerful tool for network flow collection, enrichment, and visualization, combining data ingestion, enrichment, storage, and user-friendly visualization in a single platform. Its use of ClickHouse as a backend database is a key aspect of its design, enabling fast and scalable analytics on network flow data.
https://github.com/akvorado/akvorado
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