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Alternatives to Consider
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HiveMQHiveMQ provides the most trusted IoT data streaming and Industrial AI platform, built on MQTT, to power a reliable, scalable, and AI-ready data backbone. What HiveMQ is known for: 1. MQTT-native: Built around the MQTT standard, purpose-designed for event-driven, real-time communication 2. Enterprise-grade reliability: Handles millions of concurrent connections with high availability and fault tolerance 3. Industrial-ready: Widely used in IIoT, manufacturing, automotive, energy, smart infrastructure, and data centers 4. Scalable & secure: Supports global deployments with strong security, governance, and observability 5. UNS & IT/OT convergence enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
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Epicor Connected Process ControlEpicor Connected Process Control offers an intuitive software solution designed to create and manage digital work instructions while maintaining strict process control, effectively minimizing the chances of errors in operations. By integrating IoT devices, it captures comprehensive time studies and detailed process data, including images, at the task level, providing unprecedented real-time visibility and quality oversight. The eFlex system is versatile enough to accommodate countless product variations and thousands of components, catering to both component-based and model-based manufacturers alike. Furthermore, work instructions seamlessly connect to the Bill of Materials, guaranteeing that products are assembled correctly every time, even when modifications occur during production. This advanced system intelligently adapts to variations in models and components, ensuring that only the relevant work instructions for the current build at the station are presented, enhancing efficiency and accuracy throughout the manufacturing process. In this way, Epicor empowers manufacturers to maintain high standards of quality control while adapting to the dynamic nature of production demands.
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Google Cloud Speech-to-TextAn API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
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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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TRACTIANTractian serves as the Industrial Copilot focused on enhancing maintenance and reliability by integrating both hardware and software to oversee asset performance, streamline industrial operations, and execute predictive maintenance approaches. The platform, powered by AI, enables companies to avert unexpected equipment failures and improve production efficiency. Headquartered in Atlanta, GA, Tractian also has a global footprint with branches in Mexico City and Sao Paulo, thereby expanding its reach. For more information, you can visit their website at tractian.com, where additional resources and details about their offerings are available.
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Google Cloud PlatformGoogle Cloud serves as an online platform where users can develop anything from basic websites to intricate business applications, catering to organizations of all sizes. New users are welcomed with a generous offer of $300 in credits, enabling them to experiment, deploy, and manage their workloads effectively, while also gaining access to over 25 products at no cost. Leveraging Google's foundational data analytics and machine learning capabilities, this service is accessible to all types of enterprises and emphasizes security and comprehensive features. By harnessing big data, businesses can enhance their products and accelerate their decision-making processes. The platform supports a seamless transition from initial prototypes to fully operational products, even scaling to accommodate global demands without concerns about reliability, capacity, or performance issues. With virtual machines that boast a strong performance-to-cost ratio and a fully-managed application development environment, users can also take advantage of high-performance, scalable, and resilient storage and database solutions. Furthermore, Google's private fiber network provides cutting-edge software-defined networking options, along with fully managed data warehousing, data exploration tools, and support for Hadoop/Spark as well as messaging services, making it an all-encompassing solution for modern digital needs.
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Buddy PunchOur cloud-based time tracking system simplifies payroll reporting by automatically filling in necessary details. Employees have the flexibility to clock in from various devices, including mobile phones and desktops, ensuring a convenient experience. The process of logging work hours is straightforward for staff, and supervisors can effortlessly access and export time data. Additionally, employees can utilize their web browsers or dedicated apps for iOS, Android, and Google to check in. The platform allows management to monitor who is currently on the clock, track their GPS locations, and set restrictions on where employees can log their hours. We provide easy Excel data exports and seamless integration with popular payroll software such as QuickBooks, ADP, Paychex, and SurePayroll. Enhanced functionalities are included in our time clock solution, featuring PTO Accrual Tracking, Punch Rounding, Job Codes, QR code scanning, Automatic Breaks, and Single Sign-On (SSO) capabilities, making it an all-in-one solution for workforce management. With these comprehensive tools, businesses can streamline their payroll processes and enhance overall productivity.
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JSCAPE MFT ServerJSCAPE offers a Platform Independent Managed File Transfer Server that serves as an excellent choice for government entities and corporations aiming to streamline their operations while ensuring secure, reliable, and efficient file transfers. It adheres to all necessary compliance standards such as SOX, PCI DSS, and HIPAA, making it a trustworthy option for sensitive data handling. By centralizing and managing file transfers, organizations can tackle various business challenges more effectively. The solution can be implemented in cloud, on-premises, or hybrid cloud settings, providing flexibility tailored to unique organizational needs. Business processes can be automated using triggers, eliminating the need for complex custom scripts. Furthermore, JSCAPE's mobile clients for iOS and Android facilitate easy file exchanges, while integration capabilities with Amazon and Google enhance regulatory compliance. The mobile user authentication system for both iOS and Android devices is designed to be both user-friendly and robust, ensuring security without sacrificing accessibility. With these versatile features, JSCAPE stands out as a comprehensive solution for modern file transfer requirements.
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Google Compute EngineGoogle's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
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Diplomat Managed File TransferDiplomat MFT by Coviant Software is a powerful, enterprise-ready managed file transfer solution designed for secure, automated delivery of sensitive data. It supports leading secure protocols including SFTP, FTPS, HTTPS, and AS2 which integrates seamlessly with platforms like AWS S3, Azure, Google Cloud, Oracle, SharePoint, Box, and Dropbox. Diplomat MFT includes built-in PGP encryption, IP access rules, threat intelligence scanning, and multi-factor authentication, features that help organizations maintain compliance with regulations like HIPAA, PCI/DSS, GLBA, GDPR, and DORA. If you're overwhelmed by compliance risks or face challenges with managing brittle scripts, it’s time for a better solution. Diplomat MFT eliminates uncertainty and gives you peace of mind. Start your free trial today.
What is Google Cloud IoT?
Unlock the potential of your global device network with an advanced IoT platform that provides scalable and fully managed integrations, allowing for seamless connection, storage, and analysis of data both at the edge and in the cloud. Experience the full functionality of your devices through a platform that supports multiple operating systems, integrates effortlessly with Debian Linux, and offers immediate compatibility with leading brands such as Intel and Microchip. With Google Cloud's extensive IoT building blocks, transform your device-generated data into meaningful insights, facilitating a journey from initial data ingestion to actionable intelligence. This powerful IoT platform can proactively predict maintenance requirements for your assets and optimize performance in real-time, while also identifying potential downtimes, detecting anomalies, and keeping tabs on the status, condition, and location of your devices. Furthermore, take advantage of Google Cloud IoT’s logistics solutions to manage essential operations such as fleet oversight, inventory management, and cargo integrity checks, which helps keep your business operating efficiently and competitively. By integrating this platform, organizations can not only boost their operational efficiency but also foster more informed decision-making and strategic planning. As your business evolves, the insights derived from this comprehensive IoT solution will enable you to stay ahead of the competition.
What is AWS Greengrass?
AWS IoT Greengrass brings the powerful features of AWS to edge devices, allowing them to process their generated data locally while still taking advantage of cloud capabilities for management, analysis, and dependable storage. This innovative platform enables connected devices to run AWS Lambda functions, execute Docker containers, or combine both approaches, facilitating real-time predictions using machine learning models, ensuring data synchronization, and providing secure communication between devices, even when internet connectivity is unavailable. Developers can work with familiar programming languages and models to craft and test their applications in the cloud prior to deploying them to the actual hardware, streamlining the development process. Moreover, AWS IoT Greengrass can be tailored to filter and manage the data produced by devices, ensuring that only pertinent information is transmitted back to AWS. The service also boasts seamless integration with third-party applications, local software solutions, and various AWS services through its Connectors, significantly enhancing the capabilities and flexibility of edge computing. This combination of features ultimately allows businesses to unlock the full potential of their connected devices while optimizing operational workflows, creating a robust ecosystem for innovation and efficiency. Additionally, the ability to operate independently of the cloud in certain scenarios ensures continuous functionality, further solidifying AWS IoT Greengrass as a vital component in modern IoT solutions.
Integrations Supported
AWS Connected Vehicle Solution
AWS IoT Device Defender
Buddy
Cogent DataHub
Dataddo
Mongoose
Mongoose OS
Percona Server for MySQL
Qliktag Platform
Vilicom GIGAWAVE
Integrations Supported
AWS Connected Vehicle Solution
AWS IoT Device Defender
Buddy
Cogent DataHub
Dataddo
Mongoose
Mongoose OS
Percona Server for MySQL
Qliktag Platform
Vilicom GIGAWAVE
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
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/solutions/iot
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/greengrass/
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