7 best Java Time Series Database libraries in 2024
by marketing.admin@openweaver.com Updated: Feb 11, 2023
Guide Kit
Java is a general-purpose computer programming language, which is a concurrent, class-based, object-oriented, and specifically designed to have as few implementation dependencies. Java has been in development since 1995 by Sun Microsystems. Java Time Series Database is a popular technology with many libraries available. It is an open source written in Java that stores time series data and provides basic analytical functions like moving averages, percentiles, and others. Time series data is growing at an exponential rate. Companies are collecting more and more data from their users and assets, and they need to store this data in a way that allows them to make sense of it. A few of the most popular Java Time Series Database open source libraries for developers are: questdb - open source SQL database designed to process time series data; opentsdb - A scalable, distributed Time Series Database; kairosdb - Fast scalable time series database.
questdbby questdb
An open source time-series database for fast ingest and SQL queries
questdbby questdb
Java 11579 Version:7.2 License: Permissive (Apache-2.0)
opentsdbby OpenTSDB
A scalable, distributed Time Series Database.
opentsdbby OpenTSDB
Java 4838 Version:v2.4.1 License: Weak Copyleft (LGPL-2.1)
Argusby salesforce
Time series monitoring and alerting platform.
Argusby salesforce
Java 474 Version:v2.21.3 License: Permissive (BSD-3-Clause)
warp10-platformby senx
The Most Advanced Time Series Platform
warp10-platformby senx
Java 340 Version:3.0.0-beta1 License: Permissive (Apache-2.0)
filiby yahoo
Easily make RESTful web services for time series reporting with Big Data analytics engines like Druid and SQL Databases.
filiby yahoo
Java 169 Version:Current License: Permissive (Apache-2.0)