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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.

What is Exasol?

A database designed with an in-memory, columnar structure and a Massively Parallel Processing (MPP) framework allows for the swift execution of queries on billions of records in just seconds. By distributing query loads across all nodes within a cluster, it provides linear scalability, which supports an increasing number of users while enabling advanced analytics capabilities. The combination of MPP architecture, in-memory processing, and columnar storage results in a system that is finely tuned for outstanding performance in data analytics. With various deployment models such as SaaS, cloud, on-premises, and hybrid, organizations can perform data analysis in a range of environments that suit their needs. The automatic query tuning feature not only lessens the required maintenance but also diminishes operational costs. Furthermore, the integration and performance efficiency of this database present enhanced capabilities at a cost significantly lower than traditional setups. Remarkably, innovative in-memory query processing has allowed a social networking firm to improve its performance, processing an astounding 10 billion data sets each year. This unified data repository, coupled with a high-speed processing engine, accelerates vital analytics, ultimately contributing to better patient outcomes and enhanced financial performance for the organization. Thus, organizations can harness this technology for more timely, data-driven decision-making, leading to greater success and a competitive edge in the market. Moreover, such advancements in technology are setting new benchmarks for efficiency and effectiveness in various industries.

Media

Media

Integrations Supported

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

Integrations Supported

Apache Superset
Azure Marketplace
CONVAYR
Data Virtuality
DataGrip
DbVisualizer
Emgage
Gravity Data
Onfinity ERP
Preset
Pyramid Analytics
Zoho DataPrep

API Availability

Has API

API Availability

Pricing Information

Licensing terms vary by usage.
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Mac

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

McObject

Date Founded

2001

Company Location

United States

Company Website

www.mcobject.com

Company Facts

Organization Name

Exasol

Company Location

Germany

Company Website

www.exasol.com

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

Categories and Features

Big Data

Data Cleansing
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Templates

In-Memory Databases

Not specified

OLAP Databases

Not specified

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