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Description | Foghub is a platform that offers its users with critical-path to IT/OT convergence, connecting sensors, devices, and systems with people, processes, and applications hence enabling automatic data acquisition, data engineering, transformations, advanced analytics, and ML. The software allows for its users to handle wide variety, volume, and velocity of industrial data with out of the box support for all data types, popular industrial network protocols, OT/lab systems, and databases. The easy to use fully configurable data flows to ensure the data remains available and usable by business stakeholders, when and where they want it in the system of their choice. Foghub enables its users to turbocharge existing business/IT systems with data, directly from the source of truth securely and transparently. The software offers an out of the box integration with most popular industrial network communication protocols, databases, cloud platforms, enterprise systems such as ERM, EAM, CRM, and CMMS, SaaS applications, messaging and communication platforms. Read more | AWS Glue is a serverless data integration platform that makes combining, preparing, and finding data for application development, machine learning, and analytics a breeze. It delivers all of the features required for data integration, allowing you to begin analyzing and putting your data to use in minutes rather than months. To make data integration simpler, AWS Glue offers both code-based and visual interfaces. The AWS Glue Data Catalog allows users to quickly locate and retrieve data. With just limited clicks in AWS Glue Studio, ETL (extract, transform, and load) developers and data engineers can graphically construct, execute, and monitor ETL processes. AWS Glue DataBrew allows data analysts and scientists to visually enhance, clean, and standardize information without writing codes. AWS Glue scans your data sources, recognizes data types, and recommends schemas for storing your data. It produces the code needed to conduct your data transformations and loading operations automatically. AWS Glue makes it simple to perform and manage hundreds of ETL processes, as well as to mix and duplicate data across numerous data stores using SQL. Read more |
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SW Score & Breakdown |
85% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
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85% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
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Total Features |
8 Features
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6 Features
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Common Features for All |
Compliance Tracking
Data Analysis
Data Extraction
Data Integration
Data Quality Control
Data Transformation
Master Data Management
Match & Merge
Metadata Management
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Compliance Tracking
Data Analysis
Data Extraction
Data Integration
Data Quality Control
Data Transformation
Master Data Management
Match & Merge
Metadata Management
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Review Summary |
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AWS Glue is generally praised for its ease of use and integration with other AWS services, particularly for serverless data integration and ETL tasks. Users appreciate the visual interface and the ability to automate processes, saving time and resources. However, there are limitations with Glue's support for non-AWS platforms, and some users find the debugging process and cost management challenging. Overall, while Glue is a powerful tool for data integration, its usability for beginners and cost-efficiency are areas for improvement. |
Read All User Reviews | Read All User Reviews |
AI-Generated from the text of User Reviews
Pricing Options |
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Pricing Plans
Monthly Plans
Annual Plans
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ETL jobs and development endpoints $0.44 $0.44 Data Catalog storage and requests $1.00 $1.00 per month Crawlers and DataBrew interactive sessions $0.44 $0.44 DataBrew jobs $0.48 $0.48 |
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View Detailed Pricing
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Screenshots | Not Available |
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Videos | Not Available |
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Company Details | Located in: Seattle, WA Founded in: 2019 |
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Contact Details |
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Social Media Handles |
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