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What is KairosDB?

KairosDB facilitates data ingestion using multiple protocols, such as Telnet, REST, and Graphite, while also allowing for plugin support to enhance its flexibility. By leveraging Cassandra, a prominent NoSQL database, it effectively manages time series data storage. The schema is designed with three column families to optimize data organization and retrieval. The API is equipped with various features, enabling users to list existing metric names, retrieve tag names along with their values, store metric data points, and conduct queries for detailed analysis. After a typical installation, users can conveniently access a query page that simplifies the data extraction process from the database. This tool is mainly aimed at development-related applications. The system includes aggregators capable of performing various operations on the data points, which supports down sampling and thorough analysis. Users can take advantage of a collection of standard functions like min, max, sum, count, and mean, among others, to aid their data manipulation efforts. Furthermore, the KairosDB server offers import and export capabilities through a command line interface, enhancing usability. Internal metrics related to the database provide valuable insights into the stored information while also enabling monitoring of the server's performance, which is crucial for maintaining optimal functionality. This thorough approach positions KairosDB as a robust solution for the management of time series data, making it an excellent choice for developers seeking efficiency and effectiveness in their applications.

What is JaguarDB?

JaguarDB streamlines the quick ingestion of time series data while seamlessly incorporating location-based information. It effectively indexes data across both spatial and temporal dimensions, enabling robust data management. The system is designed for rapid back-filling of time series data, which facilitates the integration of substantial amounts of historical data points. Typically, time series refers to a set of data points organized in chronological order, but in the case of JaguarDB, it includes not only a sequence of data points but also multiple tick tables that contain aggregated data values for specified time intervals. For example, a time series table within JaguarDB could feature a primary table that organizes data points sequentially, alongside tick tables representing different time frames, such as 5 minutes, 15 minutes, hourly, daily, weekly, and monthly, which hold aggregated data for those intervals. The RETENTION structure resembles the TICK format but allows for a versatile number of retention periods, specifying how long data points in the base table are kept. This design empowers users to efficiently supervise and analyze historical data tailored to their unique requirements, ultimately enhancing their data-driven decision-making processes. By providing such comprehensive functionalities, JaguarDB stands out as a powerful tool for managing time series data.

Media

Media

Integrations Supported

Apache Cassandra

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

KairosDB

Company Website

kairosdb.github.io

Company Facts

Organization Name

JaguarDB

Company Website

www.datajaguar.com

Categories and Features

Time Series Databases

Not specified

Categories and Features

Key-Value Databases

Not specified

NoSQL Database

Not specified

Time Series Databases

Not specified

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