Cortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries Prometheus-compatible time-series data with multi-tenant isolation. It accepts metrics via Prometheus remote write and OpenTelemetry, executes PromQL queries against both recent and historical data, and provides a Prometheus-compatible alerting and recording rule engine with an integrated Alertmanager. The system is built as a set of independently scalable microservices that use hash-ring-based sharding, gossip-based cluster membership, and tenant-aware object storage to distribute workloads acro
Thanos is a distributed metrics query engine and monitoring scalability suite designed to provide a unified interface for aggregating data from multiple Prometheus servers and clusters. It functions as a high availability monitoring backend that eliminates single points of failure by deduplicating data from replicated instances. The system enables long-term retention by persisting time-series data to cloud-native object storage, allowing for unlimited historical archiving beyond the limits of local disks. It further optimizes this storage through a downsampling and retention manager that comp
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
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
Mimir 是一个多租户时间序列数据库和分布式指标存储，专为可扩展的遥测而设计。它作为 Prometheus 兼容的后端，为海量时间序列数据提供长期存储和可扩展的查询引擎。
grafana/mimir 的主要功能包括：Data Tenant Isolators, Multi-Tenant Observability, Telemetry Query Engines, Block Storage, Time-Range Query Splitting and Caching, Time Series Data Storage, Distributed Ingestion, Data Replication。
grafana/mimir 的开源替代品包括： cortexproject/cortex — Cortex is an open-source, horizontally scalable metrics platform that ingests, stores, and queries… thanos-io/thanos — Thanos is a distributed metrics query engine and monitoring scalability suite designed to provide a unified interface… apache/pinot — Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It… opentsdb/opentsdb — OpenTSDB is a distributed time series database and metrics engine designed for storing and managing massive volumes of… victoriametrics/victoriametrics — VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term… redis/go-redis — This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive…