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Jetware

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405 reviews
  • 79 profiles
  • 12 categories
Average star rating
4.6
Serving customers since
2017

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MySQL 5.7

15 reviews

MySQL 5.7 is a robust, open-source relational database management system designed to deliver high performance, scalability, and reliability for mission-critical applications. This version introduces significant enhancements, including native JSON support, improved security features, and optimized performance, making it well-suited for modern web applications and enterprise solutions. Key Features and Functionality: - Enhanced Performance and Scalability: MySQL 5.7 delivers up to three times the performance of its predecessor, handling up to 1.6 million queries per second in benchmark tests. - Native JSON Support: Introduces a JSON data type for efficient storage and manipulation of JSON documents, allowing seamless integration of NoSQL capabilities within the relational database. - Improved Security: Features such as automatic password expiration and account locking after multiple failed login attempts enhance database security. - Advanced Replication: Supports multi-source replication and enhanced Global Transaction Identifiers for better scalability and availability. - Optimizer Enhancements: A new dynamic cost model provides better query performance and greater user control. - Spatial Data Support: Improved support for spatial data types and functions caters to applications involving Geographic Information Systems . Primary Value and User Solutions: MySQL 5.7 addresses the growing demands for high-performance, secure, and scalable database solutions. Its enhanced performance ensures efficient handling of large-scale applications, while native JSON support allows developers to integrate flexible, schema-less data structures within a relational framework. Improved security features protect sensitive data, and advanced replication capabilities support high availability and disaster recovery strategies. These enhancements make MySQL 5.7 a versatile and reliable choice for developers and organizations seeking a comprehensive database solution.

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PyTorch

23 reviews

PyTorch is an open-source machine learning framework that accelerates the transition from research prototyping to production deployment. Developed by Meta AI and now governed by the PyTorch Foundation under the Linux Foundation, PyTorch is widely used for applications in computer vision, natural language processing, and more. Its dynamic computation graph and intuitive Python interface make it a preferred choice for researchers and developers aiming to build and deploy deep learning models efficiently. Key Features and Functionality: - Dynamic Computation Graph: Allows for flexible and efficient model building, enabling changes to the network architecture during runtime. - Tensors and Autograd: Utilizes tensors as fundamental data structures, similar to NumPy arrays, with support for automatic differentiation to streamline the computation of gradients. - Neural Network API: Provides a modular framework for constructing neural networks with pre-defined layers, activation functions, and loss functions, facilitating the creation of complex models. - Distributed Training: Offers native support for distributed training, optimizing performance across multiple GPUs and nodes, which is essential for scaling large models. - TorchScript: Enables the transition from eager execution to graph execution, allowing models to be serialized and optimized for deployment in production environments. - TorchServe: A tool for deploying PyTorch models at scale, supporting features like multi-model serving, logging, metrics, and RESTful endpoints for application integration. - Mobile Support (Experimental): Extends PyTorch capabilities to mobile platforms, allowing models to be deployed on iOS and Android devices. - Robust Ecosystem: Supported by an active community, PyTorch offers a rich ecosystem of tools and libraries for various domains, including computer vision and reinforcement learning. - ONNX Support: Facilitates exporting models in the Open Neural Network Exchange (ONNX) format for compatibility with other platforms and runtimes. Primary Value and User Solutions: PyTorch's primary value lies in its ability to provide a seamless path from research to production. Its dynamic computation graph and user-friendly interface allow for rapid prototyping and experimentation, enabling researchers to iterate quickly on model designs. For developers, PyTorch's support for distributed training and tools like TorchServe simplify the deployment of models at scale, reducing the time and complexity associated with bringing machine learning models into production. Additionally, the extensive ecosystem and community support ensure that users have access to a wide range of resources and tools to address various machine learning challenges.

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Python

266 reviews

The Python runtime environment offered on AWS Marketplace by Jetware is a pre-configured, high-performance execution environment optimized for both training and inference tasks. It includes the Python programming language along with essential development tools such as a C compiler and make utility, providing a comprehensive setup for developers. Key Features and Functionality: - High-Performance Execution: Optimized for efficient performance in both training and inference scenarios. - Integrated Development Tools: Comes with a C compiler and make utility, facilitating seamless development and building processes. - Multiple Python Versions: Supports various Python versions, including 2.7, 3.4, 3.5, and 3.6, catering to diverse project requirements. - Containerized Deployment: Delivered as a container image compatible with Amazon ECS and Amazon EKS, ensuring easy deployment and scalability. - Stability and Support: Offers a stable, production-ready environment with long-term support and regular updates. Primary Value and User Solutions: This Python runtime environment simplifies the setup process for developers by providing a ready-to-use, optimized platform for application development and deployment. By integrating essential tools and supporting multiple Python versions, it addresses the challenges of environment configuration and compatibility, allowing developers to focus on coding and innovation. Its containerized nature ensures scalability and flexibility, making it suitable for a wide range of applications on AWS infrastructure.

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Postgres Pro 9.6

1 review

Postgres Pro 9.6 is an advanced, open-source relational database management system designed to handle a wide range of workloads, from single-machine applications to large-scale, multi-user environments. Building upon the robust foundation of PostgreSQL 9.6, Postgres Pro 9.6 introduces enhancements that improve performance, scalability, and usability, making it a reliable choice for developers and enterprises seeking a powerful database solution. Key Features and Functionality: - Parallel Query Execution: Utilizes multiple CPU cores to execute parallel sequential scans, joins, and aggregates, significantly improving query performance on multi-core servers. - Enhanced Synchronous Replication: Supports multiple synchronous standby servers, increasing data reliability and enabling consistent reads across database clusters. - Improved Full-Text Search: Introduces phrase search capabilities, allowing users to search for exact phrases or words within a specified proximity, enhancing text search functionality. - Foreign Data Wrapper Enhancements: Enables remote joins, sorts, and batch updates, facilitating efficient data federation and distribution of workloads across multiple PostgreSQL servers. - Advanced Indexing Options: Includes support for Bloom filters, providing efficient indexing for multi-column query conditions, and improves index-only scans for partial indexes. Primary Value and Problem Solving: Postgres Pro 9.6 addresses the challenges of managing high-performance, scalable, and reliable database systems. By leveraging parallel processing, it accelerates query execution, making it suitable for big data applications. The enhanced replication features ensure data consistency and availability, crucial for mission-critical applications. Improved full-text search capabilities cater to applications requiring advanced search functionalities. Overall, Postgres Pro 9.6 provides a comprehensive solution for organizations seeking a robust and scalable database system that can handle complex workloads efficiently.

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AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Production

1 review

AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Production is a pre-configured and fully integrated software stack designed for machine learning applications. It combines PyTorch 0.4.1, Python 2.7, and CUDA 9.2, providing a stable and optimized environment for developing and deploying deep learning models. This stack is tailored for high-performance tasks, ensuring compatibility and efficiency in both training and inference processes. Key Features and Functionality: - Pre-configured Environment: The stack comes fully integrated with PyTorch 0.4.1, Python 2.7, and CUDA 9.2, eliminating the need for manual setup and configuration. - High-Performance Execution: Optimized for both short and long-running tasks, the environment ensures efficient utilization of computational resources, particularly when leveraging GPU acceleration. - Stability and Reliability: Designed for production use, the stack offers a stable platform with long-term support and regular updates, ensuring consistent performance over time. Primary Value and Problem Solved: AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Production addresses the complexities associated with setting up a compatible and efficient deep learning environment. By providing a ready-to-use, optimized stack, it allows developers and data scientists to focus on building and deploying machine learning models without the overhead of configuring and maintaining the underlying infrastructure. This solution is particularly beneficial for tasks requiring GPU acceleration, offering a seamless and efficient platform for deep learning applications.

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AISE TensorFlow 1.10 Python 2.7 CPU MKL Production

1 review

AISE TensorFlow 1.10 Python 2.7 CPU MKL Production is a pre-configured Amazon Machine Image (AMI) designed to provide a robust and efficient environment for developing and deploying machine learning models. This AMI integrates TensorFlow 1.10, Python 2.7, and Intel's Math Kernel Library (MKL to optimize performance on CPU-based instances. It offers a stable and production-ready setup, enabling users to focus on building and training models without the overhead of manual configuration. Key Features and Functionality: - Pre-Configured Environment: Includes TensorFlow 1.10 and Python 2.7, eliminating the need for manual installation and setup. - Intel MKL Integration: Utilizes Intel's Math Kernel Library to enhance computational performance on CPU instances. - Stability and Support: Provides a stable, production-ready environment with long-term support and updates. - Development Tools: Comes with essential development tools, including a C compiler and build utilities, facilitating seamless development workflows. Primary Value and Problem Solved: This AMI addresses the challenge of setting up a high-performance, CPU-optimized environment for machine learning tasks. By integrating TensorFlow with Intel MKL, it significantly improves the efficiency of training and inference processes on CPU instances. Users benefit from a ready-to-use, stable platform that reduces setup time and allows them to concentrate on developing and deploying machine learning models effectively.

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LEMP Stack PHP 7 on Ubuntu

1 review

The LEMP Stack PHP 7 on Ubuntu is a pre-configured Amazon Machine Image (AMI) designed to streamline the deployment of web applications on AWS. This stack integrates Linux (Ubuntu, Nginx, MySQL, and PHP 7, providing a robust and efficient environment for developers and system administrators. By offering a ready-to-use configuration, it eliminates the complexities associated with manual setup, allowing users to focus on application development and deployment. Key Features and Functionality: - Pre-Configured Environment: The AMI comes with Nginx, MySQL, and PHP 7 installed and configured, reducing the time and effort required for setup. - Optimized Performance: Combining Nginx's high-performance web serving capabilities with PHP 7's improved execution speed ensures efficient handling of web requests. - Secure Configuration: The stack includes security enhancements, such as the ability to secure MySQL installations and manage user privileges effectively. - Scalability: Designed to operate seamlessly within the AWS ecosystem, the stack supports easy scaling to accommodate varying workloads. - User-Friendly Management: With default configurations like the web root set to `/usr/share/nginx/html`, users can quickly deploy and manage their PHP applications. Primary Value and Problem Solved: The LEMP Stack PHP 7 on Ubuntu addresses the challenges of setting up a reliable web server environment by providing a pre-configured, secure, and high-performance solution. It simplifies the deployment process, allowing developers to focus on building and managing their applications without the overhead of configuring and maintaining the underlying infrastructure. This solution is particularly beneficial for those seeking to deploy PHP-based web applications on AWS efficiently.

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AliSQL

1 review

AliSQL is a customized branch of MySQL developed by Alibaba Cloud, designed to meet the demands of high-throughput, high-concurrency, and low-latency online transaction processing systems. Building upon the MySQL Community Edition, AliSQL introduces enterprise-grade features and optimizations that enhance performance, stability, and security, making it particularly suitable for large-scale enterprise applications. Key Features and Functionality: - Thread Pool: Implements a listener-worker processing model to improve connection handling and optimize concurrency for various operations, ensuring consistent high performance under heavy loads. - Statement Outline: Utilizes optimizer and index hints to stabilize SQL execution plans, preventing performance degradation due to data changes, index modifications, or parameter adjustments. - Fast Query Cache: Redesigns the native MySQL query cache to enhance concurrency control, memory management, and caching mechanisms, significantly boosting query performance. - Binlog in Redo: Synchronizes binary log content with redo logs during transaction commits, reducing disk I/O operations and improving overall database performance. - Faster DDL: Optimizes buffer pool management strategies to minimize lock contention during Data Definition Language operations, allowing schema changes to be performed efficiently even under high business pressure. - Async File Purge: Introduces asynchronous file cleanup tasks for large file deletions, preventing file system locks and ensuring uninterrupted database operations. - Slow Log Rotate: Implements a mechanism to rotate slow query logs based on time or file size, facilitating maintenance without requiring database restarts. - SQL Outline: Extends SQL hints to persist execution paths, ensuring stable execution plans across database upgrades, index changes, and statistical information updates. Primary Value and Problem Solving: AliSQL addresses the challenges faced by large enterprises in managing high-volume, high-concurrency transactional workloads. By enhancing MySQL with enterprise-level features and optimizations, AliSQL provides a robust, efficient, and secure database solution that supports seamless scalability and reliable performance. Its advanced capabilities, such as improved connection handling, optimized query execution, and efficient schema management, empower businesses to maintain database stability and performance, even during peak operational periods.

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Spree

1 review

Spree is an open-source e-commerce platform built with Ruby on Rails, designed to provide businesses with a flexible and scalable solution for creating and managing online stores. Its modular architecture allows for extensive customization, enabling users to tailor the platform to their specific needs. Spree supports multi-store and multi-vendor marketplaces, making it suitable for a wide range of e-commerce applications. Key Features and Functionality: - Storefront Customization: Easily customize your homepage, product listings, and product detail pages. Use the default storefront or connect your own frontend application. - Multi-Region & Multi-Store Support: Manage unlimited products and variants individually or in bulk. Categorize, label, and add custom attributes. Generate gift cards or discounts with a robust promo rule engine. - Inventory Management: Manage stock levels across sales channels and locations. Track stock movements, receive stock, and make transfers. Make products available or discontinued on a given date. - Cart & Checkout: Customize checkout to reflect your business logic. Style it to be on-brand. Manage shipping and tax calculations. Enable fast checkout with Apple Pay or Google Pay. - Payments & Refunds: Capture payments with cards, Apple Pay, Google Pay, Buy Now Pay Later , local bank transfers, and redirects. Use one or multiple payment processors. Automate refunds. - Order & Return Management: Manage orders via the admin dashboard or rely on automated order processing. Use order splitting by vendor in a dropshipping model. Support partial or full returns and exchanges. - Order Fulfillment: Manage shipping across regions and warehouses. Use any shipping provider or aggregator. Track shipments in real-time with email notifications for customers. - Emails & Marketing Automations: Customize on-brand email notifications for customers around any order-related events. Automate post-purchase upselling, such as abandoned cart emails or other scenarios. - API & Integrations: Connect Spree to any custom user interface, such as a Next.js storefront or a mobile app. Integrate Spree with any system using APIs or webhooks, such as WMS, ERP, or CRM. Primary Value and User Solutions: Spree empowers businesses to build and manage customized e-commerce solutions that align with their unique requirements. Its open-source nature and modular design provide the flexibility to adapt and scale as businesses grow. By offering comprehensive features like multi-store support, advanced inventory management, and seamless integrations, Spree addresses the complexities of modern e-commerce, enabling users to deliver exceptional shopping experiences to their customers.

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MyRocks 5.6

0 reviews

MyRocks 5.6 is an open-source storage engine for MySQL, developed by Facebook, that integrates RocksDB into MySQL 5.6. It is designed to enhance database performance by improving space efficiency, write efficiency, and read efficiency, particularly on flash storage. By utilizing a Log-structured Merge-Tree (LSM-Tree architecture, MyRocks offers significant advantages over traditional storage engines like InnoDB. Key Features and Functionality: - Greater Space Efficiency: MyRocks provides up to 2x better compression compared to compressed InnoDB and 3-4x better compression compared to uncompressed InnoDB, resulting in reduced storage requirements. - Greater Writing Efficiency: With 10x less write amplification than InnoDB, MyRocks enhances the endurance of flash storage and improves overall throughput. - Faster Replication: MyRocks eliminates random reads for updating secondary keys (except for unique indexes and offers a Read-Free Replication option that removes random reads when updating primary keys, regardless of uniqueness, using a row-based binary logging format. - Faster Data Loading: By writing data directly to the bottommost level, MyRocks avoids compaction overheads, enabling faster data loading when this feature is enabled for a session. Primary Value and Problem Solved: MyRocks 5.6 addresses the challenges of managing large-scale, write-intensive workloads by offering a storage engine that significantly reduces storage space requirements and write amplification. This leads to improved performance and cost savings, especially for applications running on flash storage. By enhancing write efficiency and providing better compression, MyRocks enables organizations to handle larger datasets more effectively, ensuring faster replication and data loading processes.

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Optimized LEMP Stack PHP 5 with Let's Encrypt

0 reviews

The "Optimized LEMP Stack PHP 5 with Let's Encrypt" is a pre-configured software stack designed to facilitate the rapid deployment of secure, high-performance web applications. It integrates Linux, Nginx, MySQL, and PHP 5, complemented by automatic SSL certificate management through Let's Encrypt. This stack is tailored for developers and businesses seeking a reliable and efficient environment for hosting PHP-based websites and applications. Key Features and Functionality: - Pre-Configured Environment: The stack comes ready with Linux as the operating system, Nginx as the web server, MySQL for database management, and PHP 5 for server-side scripting, reducing setup time and complexity. - Automatic SSL Management: Integration with Let's Encrypt enables automatic issuance and renewal of SSL certificates, ensuring secure HTTPS connections without manual intervention. - Optimized Performance: Nginx is configured to handle static content efficiently, while PHP-FPM (FastCGI Process Manager manages dynamic content, enhancing overall server performance. - Security Enhancements: The stack includes security optimizations and is configured to be secure by default, providing a robust foundation for web applications. - Scalability: Designed to support scaling, the stack can accommodate growing traffic and application demands, making it suitable for both small projects and large-scale deployments. Primary Value and Problem Solved: This optimized LEMP stack addresses the common challenges of setting up a secure and efficient web hosting environment. By providing a pre-configured and performance-tuned stack, it eliminates the need for manual configuration and integration of individual components. The automatic SSL certificate management ensures that applications are always served over secure connections, enhancing user trust and compliance with security standards. Overall, it streamlines the deployment process, reduces potential errors, and allows developers to focus on building and improving their applications rather than managing server infrastructure.

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LEMP Stack PHP 5.6

0 reviews

The LEMP Stack PHP 5.6 is a pre-configured, ready-to-run image designed to simplify the development and deployment of PHP applications. It integrates NGINX, MySQL, PHP 5.6, and phpMyAdmin, providing a comprehensive environment for developers to build and manage web applications efficiently. Key Features and Functionality: - Fully Optimized LEMP Stack: The stack includes NGINX as the web server, MySQL for database management, and PHP 5.6 for server-side scripting, all configured for optimal performance. - Production-Ready Environment: The stack is configured to be ready for production use, reducing the time and effort required for setup. - Integrated phpMyAdmin: phpMyAdmin is included for easy database management through a web-based interface. Primary Value and User Solutions: This LEMP Stack offers a streamlined solution for developers seeking a stable and efficient environment to develop and deploy PHP applications. By providing a pre-configured setup, it eliminates the complexities associated with manual installation and configuration of individual components, allowing developers to focus on coding and application development. The inclusion of phpMyAdmin further simplifies database management tasks, enhancing productivity and reducing the learning curve for managing MySQL databases.

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Jetware Reviews

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338
59
7
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1
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
07/12/2026
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Verified Current User
Review source: Organic Review from User Profile

Powerful Open-Source Python Library for Machine Learning

PyTorch is a open source python library to perform Machine Learning tasks
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
07/11/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Python’s Simple, English-Like Syntax Makes Coding Easy

The best about python is its simple english like coding syntax which are very easy to follow
Verified User in Information Technology and Services
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Verified User in Information Technology and Services
07/09/2026
Validated Reviewer
Review source: Organic

Easy to Learn and Versatile, with a Powerful Library Ecosystem

Python is easy to learn, highly versatile, and supported by a large ecosystem of libraries. It helps developers build solutions quickly across many areas, including automation, data analysis, web development, and AI.

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What is Jetware?

Jetware is a platform offering pre-configured, ready-to-run virtual machine images tailored for various applications and development environments. It simplifies the deployment process by providing optimized images that can be easily launched on cloud services, such as AWS and Google Cloud, or on local virtualization solutions. The platform is designed to save time and reduce complexity, allowing developers and IT professionals to focus on their core tasks rather than configuration.

Details

Year Founded
2017
Website
jetware.org