Ratings and Reviews 12 Ratings
Ratings and Reviews 0 Ratings
What is RaimaDB?
RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
What is Empress RDBMS?
The Empress Embedded Database engine is a crucial part of the EMPRESS RDBMS, a relational database management system that stands out in the realm of embedded database technology, powering a diverse range of applications from automotive navigation to critical military command and control systems, as well as advanced Internet routers and medical technology; Empress reliably functions continuously at the core of embedded solutions across multiple sectors. A noteworthy aspect of Empress is its kernel level mr API, which provides users with direct access to the Embedded Database kernel libraries, facilitating the fastest connection to Empress databases. Through the use of MR Routines, developers achieve exceptional command over time and space while designing real-time embedded database applications. In addition, the Empress ODBC and JDBC APIs enable seamless interaction between applications and Empress databases in both standalone and client/server setups, allowing numerous third-party software solutions that support ODBC and JDBC to effortlessly link to a local Empress database or via the Empress Connectivity Server. This flexibility and efficiency solidify Empress as a top choice among developers in search of powerful database solutions for embedded systems, ensuring their projects can stay agile and effective in a fast-paced digital environment. Ultimately, Empress remains a reliable partner for any developer aiming to harness the full potential of embedded database technology.
Integrations Supported
BlackBerry QNX
Embedded Linux
FreeRTOS
INTEGRITY RTOS
QNX Neutrino RTOS
SymmetricDS
Tableau
Integrations Supported
ActiveScale
Captain Compliance
Toad
API Availability
API Availability
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
Android
iPhone
iPad
Windows
Mac
Linux
Supported Platforms
SaaS
Android
Windows
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Not specified
Company Facts
Organization Name
Raima
Date Founded
1984
Company Location
United States
Company Website
raima.com
Company Facts
Organization Name
Empress Software
Company Location
United States
Company Website
www.empress.com
Categories and Features
Big Data
Not specified
Data Management
Not specified
Data Replication
Not specified
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
Performance Analysis
Queries
Relational Interface
Database Management Systems (DBMS)
Not specified
Embedded Database
Not specified
In-Memory Databases
Not specified
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
RDBMS
Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization
Real-Time Analytic Databases
Not specified
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
SQL Databases
Not specified
SQL Server
Not specified
Time Series Databases
Not specified
Categories and Features
Database
Backup and Recovery
Creation / Development
Data Search
Data Security
Mobile Access
NOSQL
Performance Analysis
Queries
Database Management Systems (DBMS)
Not specified
Embedded Database
Not specified
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support