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What is upscaledb?

Upscaledb is a rapid key-value database that optimizes storage and processing by leveraging the distinct traits of your data. It offers optional compression to reduce file sizes and input/output operations, which helps accommodate more data in memory, enhancing both performance and scalability when conducting large table scans for data analysis and querying. This database supports all the essential features of a traditional SQL database and is tailored to meet the specific needs of your application, enabling smooth integration into your software systems. Its exceptional analytical performance and effective database cursors make it an excellent option for scenarios demanding higher speeds than conventional SQL databases can provide. Used widely across millions of desktops, cloud servers, mobile devices, and various embedded systems, upscaledb showcases its versatility and adaptability. A notable benchmark demonstrated its capability with a full table scan of 50 million records, achieving outstanding retrieval speeds with data configured as uint32 values, which underscores its efficiency. This impressive performance illustrates upscaledb's ability to manage substantial datasets effortlessly, establishing it as a favored choice among developers aiming for superior data management solutions. Additionally, its ongoing enhancements and user-friendly features continue to attract a growing community of developers.

What is eXtremeDB?

What contributes to the platform independence of eXtremeDB? It features a hybrid data storage approach, allowing for configurations that are entirely in-memory or fully persistent, as well as combinations of both, unlike many other IMDS databases. Additionally, eXtremeDB incorporates its proprietary Active Replication Fabricâ„¢, enabling not only bidirectional replication but also multi-tier replication, which can optimize data transfer across various network conditions through built-in compression techniques. Furthermore, it offers flexibility in structuring time series data by supporting both row-based and column-based formats, enhancing CPU cache efficiency. eXtremeDB can operate as either a client/server architecture or as an embedded system, providing adaptable and speedy data management solutions. With its design tailored for resource-limited, mission-critical embedded applications, eXtremeDB is utilized in over 30 million deployments globally, ranging from routers and satellites to trains and stock market operations, showcasing its versatility across diverse industries.

Media

Media

Integrations Supported

Integrations Supported

BlackBerry QNX
DARWIN Core
Deos
FreeRTOS
LynxOS
Nucleus
QNX Neutrino RTOS
VxWorks
embOS

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Licensing terms vary by usage.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

upscaledb

Company Website

upscaledb.com

Company Facts

Organization Name

McObject

Date Founded

2001

Company Location

United States

Company Website

www.mcobject.com

Categories and Features

Key-Value Databases

Not specified

Categories and Features

Big Data

Data Visualization
High Volume Processing
Predictive Analytics

Caching

Not specified

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface

Distributed Databases

Not specified

Embedded Database

Not specified

In-Memory Databases

Not specified

Key-Value Databases

Not specified

SCADA

Archiving & Retention
Data Aggregation
Data Visualization
Real-time Monitoring

SQL Databases

Not specified

Time Series Databases

Not specified

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