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RaimaDBRaimaDB 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.
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What is Visionary Render?
An intuitive low-code desktop application streamlines the process of creating extensive visualizations tailored for enterprises. It guarantees the preservation of crucial metadata and complex assembly tree structures, which are characteristic of sophisticated CAD tools, thus enabling a detailed analysis of intricate assets and systems without compromising on performance. Users can import CAD models within three minutes, while a fully detailed and animated scene can be developed in a relevant context in three hours, culminating in a complete visual digital twin within three days. This methodology promotes early detection of virtual errors, allowing teams to pursue more ambitious projects while effectively reducing costs and risks. By safely navigating through innovative concepts, a broader range of specialists can contribute to the endeavor. The application accommodates diverse structured and unstructured data formats, such as CAD, BIM, point clouds, and outputs from IoT and MES, all of which can be seamlessly integrated into the visualization. As a result, this facilitates the development of rich virtual representations of real-world scenarios, providing a solid foundation for contextual digital twins and enhancing collaborative efforts in visualization initiatives. Ultimately, this software not only promotes efficiency but also encourages creativity among teams, paving the way for groundbreaking solutions in enterprise visualizations.
What is AWS IoT TwinMaker?
Utilize your existing IoT, video, and enterprise application data directly from its original source, thus avoiding the complications of data reingestion or transfer. Boost your productivity through an automatically generated knowledge graph that connects your data sources with virtual representations of physical systems, facilitating accurate simulations of real-world environments. Enjoy an engaging 3D visualization of your operations and systems, which enables you to improve efficiency, increase production, and enhance overall performance. With AWS IoT TwinMaker, developers can easily create digital twins for real-world systems such as buildings, factories, industrial equipment, and production workflows. This robust toolset equips you to optimize building management, enhance production capacity, and improve equipment performance. Furthermore, by leveraging existing data from multiple sources, you can construct virtual models of any physical environment while marrying contemporary 3D designs with real-time data for deeper insights and improved operational efficiency. The integration of these technologies not only streamlines processes but also fosters innovation in how businesses manage their physical assets.
Integrations Supported
Amazon Web Services (AWS)
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$1.50 per million calls
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Virtalis
Date Founded
1989
Company Location
United Kingdom
Company Website
www.virtalis.com/products/visionary-render
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/iot-twinmaker/
Categories and Features
3D Modeling
2D Drawing
Animation
Annotations
Bill of Materials
Character Modeling
Collaboration Tools
Component Library
Data Import / Export
For 3D Printing
For Architects
For Manufacturers
Reference Management
Simulation
Augmented Reality
3D Objects
3D Product Visualization
Application Development
Content Creation
Cross-Device Publishing
Drag & Drop
For Mapping
For Sales
For Training / Education
Object Recognition
Simulation
Usage Tracking / Analytics
Virtual Reality
Virtual Reality
Application Development
Augmented / Mixed Reality
Collaboration
Content Creation
Cross-Device Publishing
Drag & Drop
Immersive Training
Process Simulation
Product Visualization
Social Sharing
User Interaction Tracking
Virtual Meetings
Virtual Prototyping
Categories and Features
Industrial IoT
Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization