Graphite-web is a time-series monitoring platform that stores numeric metric data in fixed-size Whisper database files, ingests metrics over a plaintext TCP protocol, and renders on-demand graphs from stored data. It provides a tag-based metric query engine for flexible data organization and retrieval, and includes a custom dashboard builder that assembles multiple time-series graphs into a single web view for consolidated monitoring.
Principalele funcționalități ale graphite-project/graphite-web sunt: Time Series Data Storage, Metrics Storage Backends, Time-Series Database Files, Time-Series Visualizers, Tag-Based Search, Time Series Databases, Data Dashboard Assemblers, Time Series Graph Renderers.
Alternativele open-source pentru graphite-project/graphite-web includ: victoriametrics/victoriametrics — VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term… opentsdb/opentsdb — OpenTSDB is a distributed time series database and metrics engine designed for storing and managing massive volumes of… greptimeteam/greptimedb — GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries… m3db/m3 — m3 is a distributed time series database designed for high-resolution metrics and high-cardinality data management. It… statsd/statsd — StatsD is a metrics aggregator and UDP collection server that collects system counters and timers. It functions as a… influxdata/telegraf — Telegraf is a modular, cross-platform telemetry pipeline designed to collect, process, and route metrics from diverse…
VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct
OpenTSDB is a distributed time series database and metrics engine designed for storing and managing massive volumes of high-cardinality system metrics. It functions as a data store and analytics platform that enables large-scale metric ingestion and infrastructure performance monitoring across a distributed cluster. The system distinguishes itself through a distributed storage abstraction that supports multiple backends such as HBase, Cassandra, and Google Bigtable. It utilizes a hierarchical metric tree to organize time series and employs numeric identifier indexing to reduce storage footpri
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
m3 is a distributed time series database designed for high-resolution metrics and high-cardinality data management. It functions as a scalable storage system and a multi-cluster query engine, providing a distributed metrics aggregator capable of downsampling and summarizing data before it is committed to storage. The project distinguishes itself through a coordinated cluster model using etcd for node membership and shard placement. It supports multiple ingestion protocols, including the Prometheus remote write protocol, InfluxDB line protocol, and Graphite Carbon plaintext protocol, and provi