RaimaDB
4.8 out of 5 starsRatings 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 PowerOLAP?
Utilize accurate and up-to-date information that is readily accessible within your organization, ensuring it is synchronized and made available in real-time to the relevant stakeholders. With PowerOLAP’s in-memory database connections, you can tap into live insights directly from your organization’s data sources via Excel. This methodology can drastically reduce the time and effort required for reporting, resulting in significant improvements in employee efficiency. Enjoy expedited budgeting cycles and the capacity to generate dynamic reports, alongside advanced analytics that offer a "multidimensional" view of your business's structure and performance indicators. By integrating various systems, you can consolidate data from all crucial sources, promoting seamless collaboration among teams through straightforward updates. Leverage the capabilities of business intelligence analytics to facilitate well-informed decision-making based on real-time insights, ultimately steering your organization toward enhanced efficiency and success. The ability to adapt and maintain a smooth flow of information equips teams to excel in a data-centric landscape, fostering a culture of innovation and responsiveness. This integration not only enhances productivity but also positions your organization to capitalize on emerging opportunities swiftly.
Integrations Supported
BlackBerry QNX
Embedded Linux
FreeRTOS
INTEGRITY RTOS
QNX Neutrino RTOS
SymmetricDS
Tableau
VxWorks
Wind River Linux
Integrations Supported
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
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
Documentation Hub
Online Training
Company Facts
Organization Name
Raima
Date Founded
1984
Company Location
United States
Company Website
raima.com
Company Facts
Organization Name
PARIS Technologies International
Company Location
United States
Company Website
paristech.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
Business Intelligence
Budgeting & Forecasting
Data Analysis
Performance Metrics
Visual Analytics
In-Memory Databases
Not specified