Foghub Description
Simplified IT/OT Integration, Data Engineering & Real-Time Edge Intelligence. Easy to use, cross platform, open architecture edge computing for industrial time series data. Foghub provides the Critical-Path for IT/OT convergence. It connects Operations (Sensors and Devices, and Systems) and Business (People, Processes and Applications). This allows automated data acquisition, transformations, advanced analytics, and ML. You can manage large volumes, velocity, and variety of industrial data with the out-of-the box support for all data types, most industrial network protocols, OT/lab system, and databases. Automate data collection about your production runs, batches and parts, as well as process parameters, asset condition, performance, utility costs, consumables, operators and their performance. Foghub is designed for scale and offers a wide range of capabilities to handle large volumes of data at high velocity.
Foghub Alternatives
SAS Analytics for IoT
This complete, AI-embedded solution allows you to access, organize, select, and transform IoT data. SAS Analytics for IoT provides a comprehensive, extensible ETL solution that covers the entire Internet of Things analytics cycle. It also features advanced analytics, a sensor-focused data modeling, advanced analytics, and a streaming execution engine that can perform multi-phase analysis. SAS Analytics for IoT runs in a distributed, fast-in-memory environment. Learn how to create SAS Event Stream Processing applications that ingest large volumes of high-velocity data streams and respond in real-time. This course teaches you the basics of event stream processing and what components are needed to create event stream processing apps. Our code is Curiosity. SAS analytics solutions transform data to intelligence, inspiring customers all over the globe to make bold discoveries that lead to progress.
Learn more
Nexla
Nexla's automated approach to data engineering has made it possible for data users for the first time to access ready-to-use data without the need for any connectors or code. Nexla is unique in that it combines no-code and low-code with a developer SDK, bringing together users of all skill levels on one platform. Nexla's data-as a-product core combines integration preparation, monitoring, delivery, and monitoring of data into one system, regardless of data velocity or format. Nexla powers mission-critical data for JPMorgan and Doordash, LinkedIn LiveRamp, J&J, as well as other leading companies across industries.
Learn more
Archon Data Store
Archon Data Store™ is an open-source archive lakehouse platform that allows you to store, manage and gain insights from large volumes of data. Its minimal footprint and compliance features enable large-scale processing and analysis of structured and unstructured data within your organization. Archon Data Store combines data warehouses, data lakes and other features into a single platform. This unified approach eliminates silos of data, streamlining workflows in data engineering, analytics and data science. Archon Data Store ensures data integrity through metadata centralization, optimized storage, and distributed computing. Its common approach to managing data, securing it, and governing it helps you innovate faster and operate more efficiently. Archon Data Store is a single platform that archives and analyzes all of your organization's data, while providing operational efficiencies.
Learn more
dataPARC Historian
Unlock the full potential of your enterprise's time-series data with the dataPARC Historian. This solution elevates data management, facilitating smooth and secure data flow across your organization. Its design ensures easy integration with AI, ML, and cloud technologies, paving the way for innovative adaptability and deeper insights.
Rapid access to data, advanced manufacturing intelligence, and scalability make dataPARC Historian the optimal choice for businesses striving for excellence in their operations. It's not just about storing data; it's about transforming data into actionable insights with speed and precision.
The dataPARC Historian stands out as more than just a repository for data. It empowers enterprises with the agility to use time-series data more effectively, ensuring decisions are informed and impactful, backed by a platform known for its reliability and ease of use.
Learn more
Integrations
Company Details
Company:
Foghub
Year Founded:
2019
Headquarters:
United States
Website:
www.foghub.io
Media
Recommended Products
Start building the next generation of GenAI apps today
MongoDB Atlas is a fully-managed developer data platform built by developers, for developers. With tight integration to Google Cloud services such as Vertex AI and BigQuery, you can accelerate application deployment to stay at the forefront of AI innovation.
Product Details
Platforms
SaaS
Type of Training
Live Online
In Person
Customer Support
Online
Foghub Features and Options
Foghub Lists
Foghub User Reviews
Write a Review- Previous
- Next