Audience

DevOps teams searching for a scalable, fast NoSQL database for Internet of Things solution

About JaguarDB

JaguarDB enables fast ingestion of time series data, coupling location-based data. It also can index in both dimensions, space and time. Back-filling time series data is also fast (inserting large volumes of data in past time). Normally time series is a series of data points indexed in time order. In JaguarDB, the time series has a different meaning: it is both a sequence of data points and a series of tick tables holding aggregated data values at specified time spans. For example, a time series table in JaguarDB can have a base table storing data points in time order, and tick tables such as 5 minute, 15 minute, hourly, daily, weekly, monthly tables to store aggregated data within these time spans. The format for the RETENTION is the same as the TICK format, except that it can have any number of retention periods. The RETENTION specifies how long the data points in the base table should be kept.

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Company Information

JaguarDB
www.datajaguar.com

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Product Details

Platforms Supported
Cloud
Training
Documentation

JaguarDB Frequently Asked Questions

Q: What kinds of users and organization types does JaguarDB work with?
Q: What languages does JaguarDB support in their product?
Q: What type of training does JaguarDB provide?

JaguarDB Product Features

NoSQL Database

Performance Management
Multi-Model
Dynamic Schemas
Automatic Database Replication
Security Management
Data Model Flexibility
Deployment Flexibility
Auto-sharding
Integrated Caching