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Jetware

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413 reviews
  • 79 profiles
  • 13 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

24 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

273 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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PyTorch CPU MKL Notebook

1 review

The PyTorch CPU MKL Notebook is a pre-configured, fully integrated runtime environment designed for machine learning and data science applications. It combines PyTorch, an open-source machine learning library for Python; Jupyter Notebook, a browser-based interactive notebook; and the Python programming language. Optimized for CPU performance, this stack also includes development tools such as a C compiler and make, facilitating efficient program development and execution. Key Features: - High-Performance Execution: Optimized for both training and inference tasks on CPU, ensuring efficient computation. - Integrated Software Packages: Includes carefully integrated and tested software with the latest features and bug fixes. - Stability and Support: Offers a stable, production-ready environment with long-term support and updates. Primary Value: The PyTorch CPU MKL Notebook simplifies the setup process for machine learning practitioners by providing a ready-to-use environment. This eliminates the complexities associated with configuring individual components, allowing users to focus on developing and deploying machine learning models efficiently. Its CPU optimization ensures that users can perform high-performance computations without the need for specialized hardware, making it accessible and cost-effective.

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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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Optimized LAMP Stack PHP 7

1 review

The Optimized LAMP Stack PHP 7 by Jetware is a pre-configured and performance-enhanced environment designed for web applications. It integrates the latest PHP 7 running as `mod_php`, Apache HTTP Server, and MariaDB, all within an HTTPS-enabled setup utilizing a self-signed SSL certificate. Key Features and Functionality: - Apache HTTP Server 2.4.26: A robust and widely-used web server ensuring reliable request handling. - MariaDB 10.2.6: A high-performance, open-source relational database management system. - PHP 7.1.6: The latest PHP version offering significant performance improvements and new features. - Self-Signed SSL Certificate: Enables HTTPS for secure communication between clients and the server. - phpMyAdmin 4.7.2: A web-based interface for efficient database management. - Memcached 1.4.36 and Redis 3.2.9: In-memory data stores for caching, enhancing application speed and scalability. Primary Value and User Solutions: This optimized LAMP stack provides developers with a ready-to-use, secure, and high-performance environment for deploying PHP-based web applications. By integrating the latest software versions and performance enhancements, it reduces setup time and ensures applications run efficiently. The inclusion of caching mechanisms like Memcached and Redis further boosts performance, while the self-signed SSL certificate facilitates secure communications. Overall, it streamlines the development and deployment process, allowing developers to focus on building robust applications.

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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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NodeJS 8 Web Stack

1 review

The NodeJS 8 Web Stack by Jetware is a pre-configured, ready-to-use environment that combines Node.js 8 with Nginx, designed to streamline the development and deployment of web applications. This stack includes essential components such as a self-management preset for monitoring and maintenance, a development preset equipped with tools like a C compiler and make utility, and an ExpressJS blank application to serve as a boilerplate for new projects. By integrating these elements, the NodeJS 8 Web Stack offers a comprehensive solution for developers seeking an efficient and reliable platform for building and managing web applications. Key Features and Functionality: - Pre-Configured Environment: Combines Node.js 8 and Nginx, eliminating the need for manual setup and configuration. - Self-Management Preset: Includes self-monitoring and self-healing components to ensure system stability and performance. - Development Tools: Provides essential development tools, including a C compiler and make utility, facilitating a seamless development process. - ExpressJS Blank Application: Offers a boilerplate ExpressJS application to accelerate project initiation. Primary Value and User Solutions: The NodeJS 8 Web Stack addresses the challenges developers face in setting up and managing a robust web application environment. By offering a pre-configured stack with integrated self-management and development tools, it reduces the time and effort required for initial setup and ongoing maintenance. This allows developers to focus more on coding and less on infrastructure management, leading to increased productivity and faster time-to-market for web applications.

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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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Redmine 3.3 on PostgreSQL

0 reviews

Redmine 3.3 on PostgreSQL is a pre-configured, one-click installation solution that combines Redmine, a free and open-source web-based project management and issue tracking tool, with PostgreSQL as its database backend. This setup is optimized for performance and reliability, utilizing Nginx as the web server and incorporating self-management, self-monitoring, and self-healing components to ensure seamless operation. Key Features and Functionality: - Project Management: Facilitates efficient project planning, tracking, and collaboration through features like Gantt charts, calendars, and time tracking. - Issue Tracking: Enables comprehensive issue management with customizable workflows, statuses, and priorities, ensuring effective problem resolution. - Version Control Integration: Supports integration with various version control systems, allowing seamless tracking of code changes and repository management. - Multi-Project Support: Allows management of multiple projects simultaneously, each with its own settings and user permissions. - Flexible Role-Based Access Control: Provides customizable user roles and permissions to ensure appropriate access levels across projects. - Self-Management Preset: Includes self-monitoring and self-healing components that enhance system stability and reduce maintenance efforts. Primary Value and User Solutions: This solution offers organizations a robust and scalable platform for managing projects and tracking issues, streamlining workflows, and enhancing team collaboration. By integrating Redmine with PostgreSQL, users benefit from a reliable and efficient database system that ensures data integrity and performance. The inclusion of Nginx as the web server further optimizes resource utilization, while the self-management features minimize downtime and administrative overhead. Overall, Redmine 3.3 on PostgreSQL provides a comprehensive, ready-to-use environment that addresses the complexities of project management and issue tracking, enabling teams to focus on delivering quality results.

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Jetware Reviews

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346
59
7
0
1
Verified User in Oil & Energy
UO
Verified User in Oil & Energy
Small-Business (50 or fewer emp.)
10/02/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Performant, Free, and API-Friendly—Great for AI Work with Pandas

I like the native libraries, like pandas. Python has an understandable language. It’s very performant, and it integrates well with REST and APIs. It is free and I use it to manage some AI model.
Shiva Krishna N.
SN
Shiva Krishna N.
StudentSmall-Business (50 or fewer emp.)
08/30/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile
Incentivized Review

Simple and Versatile for Development

I like Python because it’s straightforward to write, easy to learn, and supported by a large ecosystem of libraries. It lets me build, test, and iterate on applications quickly, which makes development feel much more efficient.
Vamshi M.
VM
Vamshi M.
StudentSmall-Business (50 or fewer emp.)
08/28/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Easy to Learn, Powerful for Development

Python is easy to learn and has a straightforward, readable syntax. It also offers a wide range of libraries that support data science, automation, web development, and AI projects, which makes it a versatile choice for many different kinds of work. Python provides excellent value because it is free to use and has a large ecosystem of libraries. It helps me complete development, data analysis, and AI-related tasks without high software costs.

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Roma, IT

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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