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Fast scalable time series database
The main features of kairosdb/kairosdb are: Databases and Storage, Monitoring Backends, Relational Databases, Time Series Databases, Backend and Infrastructure.
Projects with overlapping indexed features include: opentsdb/opentsdb — OpenTSDB is a distributed time series database and metrics engine designed for storing and managing massive volumes of… influxdata/influxdb — InfluxDB is a specialized time series database platform engineered for the high-speed ingestion, compression, and… akumuli/akumuli — Time-series database. cockroachdb/cockroach — Cockroach is a distributed SQL database designed to scale horizontally across multiple nodes while maintaining strict… cayleygraph/cayley — Cayley is a graph database engine designed for storing and querying interconnected data using a quad-based data model.… dalmatinerdb/dalmatinerdb — See gitlab: https://gitlab.com/Project-FiFo/DalmatinerDB/dalmatinerdb.
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
InfluxDB is a specialized time series database platform engineered for the high-speed ingestion, compression, and retrieval of timestamped data at scale. It functions as a distributed metrics platform, providing the infrastructure necessary to organize and analyze massive volumes of time-stamped information to identify trends, patterns, and anomalies within complex data streams. The platform distinguishes itself through a functional dataflow engine that utilizes a specialized programming language for complex analytical transformations and automated tasks. This architecture is supported by a p
Cayley is a graph database engine designed for storing and querying interconnected data using a quad-based data model. It functions as an RDF quad store, managing information through subjects, predicates, objects, and labels. The system features a modular graph store architecture with pluggable backends, allowing it to swap between in-memory storage and various external persistent databases. It includes a GraphQL-inspired API and a dedicated data visualizer for the interactive exploration of nodes and edges. Query capabilities cover bidirectional path traversal and multi-syntax execution usi
