一、
1.apache的IoTDB
https://iotdb.apache.org/
2.InfluxDB
https://www.influxdata.com/
3.timescale：TimescaleDB基于PostgreSQL的时序数据库插件，完全继承了PostgreSQL的功能
https://www.timescale.com/
4.TDengine
https://www.taosdata.com/cn/
二、时序数据库比对
https://www.cnblogs.com/dhcn/p/10370032.html
三、时序数据库排行
四时序数据库排行介绍
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
原文链接：https://blog.csdn.net/weixin_43700866/article/details/114914866
安装：
1.InfluxDB
文档：https://docs.influxdata.com/influxdb/v2.0/install/?t=Linux
wget https://dl.influxdata.com/influxdb/releases/influxdb2-2.0.8.x86_64.rpm
sudo yum localinstall influxdb2-2.0.8.x86_64.rpm