Average Ratings 5 Ratings
Average Ratings 0 Ratings
Description
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
Description
The µ-velOSity RTOS stands out as the most compact option within Green Hills Software's suite of real-time operating systems. Developed as a C library, it is highly adaptable for various target architectures, facilitating easy integration. Its streamlined architecture is closely aligned with the MULTI IDE, making µ-velOSity not only straightforward to learn but also user-friendly. By providing a clear and concise API, it helps to shorten development timelines and enhance the maintainability of products. Consequently, this can lead to cost reductions and faster time-to-market for developers transitioning from standalone or no-OS setups. Thanks to its efficient architecture and small memory footprint, µ-velOSity outperforms many competitors by fitting seamlessly within on-chip memory. This design choice eliminates reliance on off-chip memory, significantly boosting execution speed. Furthermore, the RTOS has been engineered to minimize CPU clock cycles during booting, an essential feature for embedded systems that demand rapid startup times. Additionally, µ-velOSity is exceptionally suited for embedded devices that have strict power consumption constraints, ensuring optimal performance without compromising energy efficiency. In summary, µ-velOSity provides a robust solution for developers seeking a reliable and efficient RTOS for various embedded applications.
API Access
Has API
API Access
Has API
Integrations
BlackBerry QNX
Embedded Linux
FreeRTOS
INTEGRITY RTOS
MULTI IDE
QNX Neutrino RTOS
SymmetricDS
Tableau
TimeMachine
VxWorks
Integrations
BlackBerry QNX
Embedded Linux
FreeRTOS
INTEGRITY RTOS
MULTI IDE
QNX Neutrino RTOS
SymmetricDS
Tableau
TimeMachine
VxWorks
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Raima
Founded
1984
Country
United States
Website
raima.com
Vendor Details
Company Name
Green Hills Software
Founded
1982
Country
United States
Website
www.ghs.com/products/micro_velosity.html
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication
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
Virtualization
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
RDBMS
Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
SQL Server
CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring