Blackinetix Description
We offer cutting-edge solutions designed to elevate your business performance. Blackinetix has introduced BX, a versatile cloud IoT platform that caters to various monitoring and automation needs, including predictive maintenance and cloud-based robotics. It is essential to meticulously track all maintenance and troubleshooting activities from initiation to completion, particularly when multiple personnel are involved. With the aid of lean dashboards, you can effectively analyze data generated from IoT devices and autonomous robots. Additionally, you can handle extensive datasets by implementing predictive models to derive targeted results. Users can seamlessly explore their facility or robotics testing area and examine assets by simply capturing 360-degree images and uploading them to BX. Furthermore, engineers can swiftly identify malfunctioning machines using QR codes in conjunction with an augmented reality viewer. Our belief in a multidisciplinary approach is reflected in our core team's composition, which includes highly skilled professionals with diverse backgrounds and expertise. This collaborative spirit fosters an environment of innovation and enhances our ability to deliver exceptional solutions.
Blackinetix Alternatives
RaimaDB
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.
Learn more
TRACTIAN
Tractian is the Industrial Copilot for maintenance and reliability, combining hardware and software solutions to monitor asset performance, manage industrial operations, and implement predictive maintenance strategies. Its AI-driven platform empowers businesses to prevent unplanned equipment downtime and boost production output. The company is headquartered in Atlanta, GA, and extends its presence globally with offices in Mexico City and Sao Paulo. Learn more at tractian.com.
Learn more
HULFT IoT
HULFT IoT serves as a robust managed file transfer middleware tailored for IoT devices, effectively safeguarding against data loss in essential scenarios like payment processing, security, and monitoring. While utilizing protocols like MQTT or HTTPS for IoT data gathering demands a learning curve for users, HULFT IoT simplifies the process by requiring only the installation of its software, thus enabling swift data collection. Additionally, with the integration of DataSpider Servista, our enterprise application integration (EAI) tool, users can seamlessly connect multiple applications to the data gathered by HULFT IoT without any coding, as the setup process is entirely based on drag-and-drop functionality. A machine tool manufacturer previously conducted on-site inspections and maintenance for their customers, during which each device generated operational log data. By analyzing this data, they were able to forecast maintenance needs effectively. To enhance their operational efficiency, the company sought to implement remote monitoring of devices and schedule maintenance personnel as needed. However, the challenge arose with each device producing approximately 10GB of log data daily, complicating their data management efforts further. To address this, they recognized the necessity of a streamlined solution that could handle such vast amounts of data efficiently.
Learn more
EMQX
EMQX is the world's most scalable and reliable MQTT messaging platform designed by EMQ. It supports 100M concurrent IoT device connections per cluster while maintaining extremely high throughput and sub-millisecond latency.
EMQX boasts more than 20,000 global users from over 50 countries, connecting more than 100M IoT devices worldwide, and is trusted by over 300 customers in mission-critical IoT scenarios, including well-known brands like HPE, VMware, Verifone, SAIC Volkswagen, and Ericsson.
Our edge-to-cloud IoT data solutions are flexible to meet the demands of various industries towards digital transformation, including connected vehicles, Industrial IoT, oil & gas, carrier, finance, smart energy, and smart cities.
EMQX Enterprise: The World’s # 1 Scalable MQTT Messaging Platform
-100M concurrent MQTT connections
-1M/s messages throughput under 1ms latency
-Business-critical reliability, Up to 99.99% SLA
-Integrate IoT data seamlessly with over 40 cloud services and enterprise systems
EMQX Cloud: Fully Managed MQTT Service for IoT
- Scale as you need, pay as you go
- Flexible and rich IoT data integration up to 40+ choices
- Run in 19 regions across AWS, GCP, and Microsoft Azure
- 100% MQTT
Learn more
Integrations
No Integrations at this time
Company Details
Company:
Blackinetix
Headquarters:
United Kingdom
Website:
www.blackinetix.com
Media
Recommended Products
Our Free Plans just got better! | Auth0
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
In Person
Customer Support
Online Support
Blackinetix Features and Options
Blackinetix User Reviews
Write a Review- Previous
- Next