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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 Apache Ignite?

Leverage Ignite as a traditional SQL database by utilizing JDBC and ODBC drivers, or by accessing the native SQL APIs available for programming languages like Java, C#, C++, and Python. Seamlessly conduct operations such as joining, grouping, aggregating, and ordering your data, which can be stored both in-memory and on-disk. Boost the efficiency of your existing applications up to 100 times by incorporating Ignite as an in-memory cache or data grid that connects with one or several external databases. Imagine a caching framework that supports SQL queries, transactional processes, and complex computational tasks. Build innovative applications that can manage both transactional and analytical operations by using Ignite as a database that surpasses the constraints of available memory. Ignite adeptly handles memory for frequently accessed information while offloading less commonly queried data to disk storage. Execute custom code snippets, even as small as a kilobyte, over extensive datasets that can reach petabyte scales. Transform your Ignite database into a robust distributed supercomputer engineered for rapid computations, sophisticated analytics, and advanced machine learning initiatives. Furthermore, Ignite not only streamlines data management but also empowers organizations to unlock the full potential of their data, paving the way for groundbreaking solutions and insights. By harnessing its capabilities, teams can drive innovation and improve decision-making processes across various sectors.

Media

Media

Integrations Supported

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

Integrations Supported

3forge
Apache Zeppelin
GridGain
Vert.x
sqlmap
witboost

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

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

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

Apache Ignite

Date Founded

1999

Company Location

United States

Company Website

ignite.apache.org

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

Caching

Not specified

Database

Not specified

Distributed Databases

Not specified

In-Memory Databases

Not specified

Key-Value Databases

Not specified

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