时序数据库全称为时间序列数据库。时间序列数据库主要用于指处理带时间标签（按照时间的顺序变化，即时间序列化）的数据，带时间标签的数据也称为时间序列数据。时序数据的兴起还是榜上了物联网的大风。物联网（Internet of Things，简称IOT）是指通过各种信息传感器实时采集任何需要管理设备的信息，并进行管理。物联网的基础数据具有数据量大、结构单一、时间属性强、查询简单等特点，传统的关系型数据库在面对物联网数据时，显得应对发力，基本上属于功能过剩但性能不足。 目前最新的DB-Engine上时序数据库排名如下:
1.InfluxDB
2013 DBMS for storing time series, events and metrics www.influxdata.com
InfluxDB empowers developers to build IoT, analytics and monitoring software. It is purpose-built to handle the massive volumes and countless sources of time-stamped data produced by sensors, applications and infrastructure.
2.KDb+
2000 High performance Time Series DBMS kx.com
3.Prometheus
2015 Open-source TimeSeries DBMS and monitoring system prometheus.io/
Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community. It is now a standalone open source project and maintained independently of any company. To emphasize this, and to clarify the project’s governance structure, Prometheus joined the Cloud Native Computing Foundation in 2016 as the second hosted project, after Kubernetes.
4.Graphite
2006 Data logging and graphing tool for time series data github.com/graphite-project/graphite-web
5.RRDtool
1999 Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. oss.oetiker.ch/rrdtool RRDtool is the OpenSource industry standard, high performance data logging and graphing system for time series data. RRDtool can be easily integrated in shell scripts, perl, python, ruby, lua or tcl applications.
6.TimescaleDB
2017 A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL www.timescale.com
7.Apache Druid
2012 Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data druid.apache.org
8.Fauna
2014 Fauna (previously named FaunaDB) provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure. fauna.com
9.OpenTSDB
2011 Scalable Time Series DBMS based on HBase opentsdb.net
10.GridDB
2013 Scalable in-memory time series database optimized for IoT and Big Data griddb.net
GridDB is an innovative solution to solve these complex problems. The foundation of GridDB’s principles is based upon offering a versatile data store that is optimized for IoT, provides high scalability, is tuned for high performance, and ensures high reliability.
11.DolphinDB
2018 Time Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming language www.dolphindb.com
DolphinDB is a high performance time-series database. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. DolphinDB offers operational simplicity, scalability, fault tolerance, and concurrency.
12.KairosDB
2013 Distributed Time Series DBMS based on Cassandra or H2 github.com/kairosdb/kairosdb
版权声明：本文内容由互联网用户自发贡献，该文观点仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 举报，一经查实，本站将立刻删除。
发布者：全栈程序员栈长，转载请注明出处：https://javaforall.cn/185868.html原文链接：https://javaforall.cn
原文地址：https://cloud.tencent.com/developer/article/2156277
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。