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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 Blackinetix?
At Blackinetix, we provide advanced solutions aimed at optimizing your business processes. Our premier offering, BX, is an innovative cloud-based IoT platform that supports a range of monitoring and automation tasks, including predictive maintenance and cloud robotics. Maintaining a comprehensive log of all maintenance and troubleshooting activities is essential, particularly when multiple team members are engaged. Our streamlined dashboards enable you to efficiently analyze data produced by IoT devices and autonomous robots. Moreover, the platform facilitates the handling of large datasets through predictive models to generate targeted outcomes. Users can also explore their facilities or robotics labs virtually by capturing and uploading 360-degree images to BX for an engaging navigation experience. In addition, engineers can quickly diagnose malfunctioning equipment by utilizing QR codes alongside the augmented reality viewer. We adopt an interdisciplinary approach, bringing together a dedicated team of experts whose varied skills and backgrounds enhance our service delivery. This collaborative model not only keeps us at the cutting edge of innovation but also allows us to effectively meet the changing needs of the industry, ensuring that our solutions remain relevant and impactful. Our commitment to continuous improvement and adaptation underpins every aspect of our operations.
What is Azure IoT Edge?
Azure IoT Edge is a comprehensive service that runs on Azure IoT Hub, allowing you to implement a range of workloads, from artificial intelligence to both Azure and third-party services, as well as your own tailored business logic, directly onto IoT edge devices through the use of standard containers. By positioning specific workloads closer to the network's edge, these devices can reduce latency in communication with the cloud, react quickly to local events, and sustain their operations even during extended offline durations. You have the flexibility to apply models that were created and trained in the cloud right at the location where they are needed. For example, if a predictive model for quality control is set up on a factory camera and issues arise, IoT Edge has the capability to issue an alert, analyze the data locally, or send it to the cloud for further examination. This service not only guarantees the dependable and secure performance of your edge devices, but it also ensures they can operate effectively with limited or no cloud connectivity. Additionally, Azure IoT Edge includes device management features that keep the latest status of your devices in sync automatically, which improves overall operational efficiency and responsiveness. This smooth integration not only fosters a more effective workflow across your IoT ecosystem but also enhances the ability to make real-time decisions based on localized data processing. Ultimately, Azure IoT Edge empowers organizations to harness the full potential of their IoT devices and data.
Integrations Supported
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
The Asset Guardian EAM (TAG)
Integrations Supported
Azure IoT Hub
Azure Kinect DK
Azure Marketplace
Docker
Microsoft 365
Microsoft Azure
Microsoft Defender for Cloud
NVIDIA DRIVE
SAP Cloud Platform
The Asset Guardian EAM (TAG)
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Blackinetix
Company Location
United Kingdom
Company Website
www.blackinetix.com
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/iot-edge/
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization