Best AWS Marketplace Software - Page 35

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  • Average Rating: 4.39/5 The average rating of products in this category, based on all submitted ratings
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Last updated: November 01, 2026

How Does G2 Rank AWS Marketplace Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 30,300+ Authentic Reviews
  • 2,450+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

PostgreSQL on CentOS 6

PostgreSQL on CentOS 6 is a pre-configured Amazon Machine Image (AMI) that combines the robust, open-source PostgreSQL database management system with the stability and reliability of CentOS 6. This AMI enables users to quickly deploy a fully operational PostgreSQL environment on Amazon Web Services (AWS), facilitating efficient data management and application development. Key Features and Functionality: - Pre-Configured Environment: The AMI comes with PostgreSQL installed and configured on CentOS 6, reducing setup time and complexity. - Scalability: Leverage AWS's scalable infrastructure to handle varying workloads and data volumes effectively. - Security: Benefit from CentOS 6's security features and the ability to configure PostgreSQL's access controls to safeguard your data. - Flexibility: Customize the database environment to meet specific application requirements, including tuning performance parameters and adding extensions. Primary Value and Problem Solved: This AMI addresses the challenge of setting up a reliable and efficient database system by providing a ready-to-use PostgreSQL environment on CentOS 6. It eliminates the need for manual installation and configuration, allowing developers and businesses to focus on building and deploying applications without worrying about the underlying database infrastructure. By leveraging AWS's cloud capabilities, users can achieve high availability, scalability, and security for their database needs.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate PostgreSQL on CentOS 6?

  • Quality of Support: 6.7/10 (Category avg: 8.5/10)
  • Ease of Use: 6.7/10 (Category avg: 8.7/10)

Who Is the Company Behind PostgreSQL on CentOS 6?

Who Uses This Product?

  • Company Size: 100% Large

What Do G2 Reviewers Say About PostgreSQL on CentOS 6?

AI-generated summary from verified user reviews

Pros
  • Users value the free services of PostgreSQL on CentOS 6, significantly lowering operational costs.
  • Users value the open-source nature of PostgreSQL, enjoying the cost benefits and robust database reliability.
  • Users value the high performance of PostgreSQL on CentOS 6, especially for large scale database needs.
  • Users value the reliability of PostgreSQL, especially its ACID compliance for dependable database transactions.
Cons
  • Users often face compatibility issues with packages on CentOS 6, leading to frustrating troubleshooting experiences.
  • Users face an outdated interface in PostgreSQL on CentOS 6, complicating compatibility and documentation access.
  • Users face system instability due to outdated documentation and compatibility issues with dependencies on CentOS 6.

What Are Recent G2 Reviews of PostgreSQL on CentOS 6?

PostgreSQL on CentOS 7

CentOS 7 is a Linux enterprise-class operating system that is functionally compatible with its upstream source, Red Hat Enterprise Linux (RHEL).

Average Rating: 3.5/5.0

Total Reviews: 1

Who Is the Company Behind PostgreSQL on CentOS 7?

Who Uses This Product?

  • Company Size: 100% Large

Pridatex Trial

Pridatex Trial is a user-friendly software solution designed to streamline website performance analysis. It offers quick results, enabling users to assess their site's functionality within minutes. The trial version is available at no cost, allowing users to evaluate the software's capabilities before making a purchase. This tool is particularly beneficial for individuals without prior technical experience, as it simplifies the process of understanding website performance metrics. Key Features and Functionality: - Ease of Use: Designed with a straightforward interface, making it accessible to users of all skill levels. - Rapid Results: Provides quick insights into website performance, enabling timely optimizations. - Free Trial: Offers a cost-free trial period, allowing users to test the software's features without financial commitment. Primary Value and User Solutions: Pridatex Trial addresses the need for an efficient and accessible tool to evaluate website performance. By offering a simple interface and rapid results, it empowers users to identify and resolve issues promptly, enhancing the overall user experience of their websites. The free trial ensures that users can make informed decisions about the software's suitability for their needs before investing.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Pridatex Trial?

  • Quality of Support: 10.0/10 (Category avg: 8.5/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Pridatex Trial?

  • Seller: Pridatex
  • Year Founded: 2020
  • HQ Location: Fremont, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Pridatex Trial?

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Prometheus Container Monitoring Solution

Prometheus works well for recording any purely numeric time series. It fits both machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures. In a world of microservices, its support for multi-dimensional data collection and querying is a particular strength. Prometheus is designed for reliability, to be the system to go during an outage to allow for quickly diagnose problems. Each Prometheus server is standalone, not depending on network storage or other remote services. One can rely on it when other parts of infrastructure are broken, and do not need to setup extensive infrastructure to use it.

Average Rating: 3.5/5.0

Total Reviews: 1

How Do G2 Users Rate Prometheus Container Monitoring Solution?

  • Has the product been a good partner in doing business?: 5.0/10 (Category avg: 8.7/10)
  • Quality of Support: 6.7/10 (Category avg: 8.5/10)
  • Ease of Admin: 0.0/10 (Category avg: 8.6/10)
  • Ease of Use: 6.7/10 (Category avg: 8.7/10)

Who Is the Company Behind Prometheus Container Monitoring Solution?

Who Uses This Product?

  • Company Size: 100% Large

Prometheus Operator

The Prometheus Operator, packaged by Bitnami, streamlines the deployment and management of Prometheus instances within Kubernetes environments. It simplifies monitoring configurations for Kubernetes services, enabling users to define and manage Prometheus setups using Kubernetes-native resources. This approach enhances the efficiency and scalability of monitoring solutions in cloud-native applications. Key Features and Functionality: - Kubernetes Custom Resources: Utilizes Kubernetes custom resources to deploy and manage Prometheus, Alertmanager, and related components, ensuring seamless integration with Kubernetes-native tools. - Simplified Deployment Configuration: Allows users to configure essential aspects of Prometheus, such as versions, persistence, retention policies, and replicas, directly through Kubernetes resources, reducing complexity in setup and maintenance. - Automated Service Discovery: Automatically generates monitoring target configurations based on Kubernetes label queries, eliminating the need to learn a Prometheus-specific configuration language and facilitating dynamic monitoring setups. Primary Value and Problem Solved: The Prometheus Operator addresses the challenges of deploying and managing monitoring systems in Kubernetes by providing a declarative approach to configure and operate Prometheus instances. It automates routine tasks, reduces manual configuration errors, and ensures that monitoring setups are consistent and scalable. This solution is particularly valuable for DevOps teams seeking to implement robust monitoring practices without the overhead of complex configurations, thereby enhancing the observability and reliability of applications running in Kubernetes clusters.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Prometheus Operator?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.7/10)
  • Quality of Support: 6.7/10 (Category avg: 8.5/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.6/10)
  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Prometheus Operator?

  • Seller: Broadcom
  • Year Founded: 1991
  • HQ Location: San Jose, CA
  • LinkedIn® Page: www.linkedin.com
    44,602 employees on LinkedIn®
  • Ownership: NASDAQ: CA
  • Phone: +1 800 225-5224

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Prometheus Operator?

Propensity US: Target Clothing Shopper

Propensity US: Target Clothing Shopper is a data product developed by Prosper Insights & Analytics, designed to assist brands in identifying and targeting consumers who are likely to purchase clothing from Target stores. This product leverages Prosper's extensive zero-party consumer data to create accurate propensity models, enabling brands to enhance their digital marketing strategies and improve customer acquisition efforts. Key Features and Functionality: - Accurate Propensity Models: Utilizes data from Prosper's comprehensive monthly consumer surveys to develop models that predict the likelihood of consumers shopping for clothing at Target. - Privacy Compliance: All models are built using factual, privacy-compliant data, ensuring consumer information is handled responsibly. - Integration with AWS Marketplace: Available through the Prosper Model Factory on AWS Marketplace, allowing for seamless access and integration into existing marketing platforms. - Transparency: Provides Lift over Random metrics for each model, offering transparency and allowing brands to evaluate model effectiveness prior to activation. Primary Value and User Benefits: Propensity US: Target Clothing Shopper empowers brands to take control of their digital advertising spend by providing high-quality, retailer-specific shopper models. By integrating these models with their own customer data, brands can enhance targeting initiatives, personalize marketing efforts, and improve return on investment. This solution offers an alternative to retailer-controlled platforms, enabling brands to reach Target clothing shoppers more effectively and efficiently.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Propensity US: Target Clothing Shopper?

  • Quality of Support: 10.0/10 (Category avg: 8.5/10)
  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Propensity US: Target Clothing Shopper?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Propensity US: Target Clothing Shopper?

What Are G2 Users Discussing About Propensity US: Target Clothing Shopper?

ProudNet1 - CentOS7

ProudNet is server & network engine for multiplayer games.ProudNet can cope with various situations based on many experiences and is equipped with an interface for user friendliness.Therefore, it is a middleware that helps you to make a server easily without many experiences in on-line/mobile game development.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate ProudNet1 - CentOS7?

  • Quality of Support: 8.3/10 (Category avg: 8.5/10)
  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind ProudNet1 - CentOS7?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of ProudNet1 - CentOS7?

Puppeteer Browser Automation on Windows

Puppeteer on Windows is an Amazon Machine Image that offers a preconfigured environment for web browser automation using Puppeteer on Windows Server 2025. This setup is ideal for tasks such as test automation, web scraping, routine web task automation, and application monitoring. The AMI includes Visual Studio Code with sample Puppeteer scripts and language bindings for Node.js, along with a preinstalled Chrome browser. Users can connect to the Windows Server via Remote Desktop Protocol to develop and execute Puppeteer scripts in both headless and non-headless modes. This solution provides a ready-to-use environment, enabling users to start automating tasks immediately without the need for extensive setup.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Puppeteer Browser Automation on Windows?

  • Quality of Support: 8.3/10 (Category avg: 8.5/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Puppeteer Browser Automation on Windows?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Puppeteer Browser Automation on Windows?

Puppeteer in Lambda

Puppeteer.cloud is the first full supported AWS service to automate Chrome and Chromium on EC2, Lambda and Container. We offer standardized products and tailormade services for our customers to provide you a high scale, fault tolerant solution for your needs.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Puppeteer in Lambda?

  • Quality of Support: 10.0/10 (Category avg: 8.5/10)
  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Puppeteer in Lambda?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Puppeteer in Lambda?

Python 3.7 with Debian 10

The "Python 3.7 with Debian 10" Amazon Machine Image (AMI) offers a pre-configured environment combining Debian 10 "Buster" with Python 3.7, facilitating the development and deployment of Python applications on AWS. Key Features and Functionality: - Debian 10 "Buster": A stable and secure operating system known for its reliability and extensive package support. - Python 3.7: A versatile programming language suitable for various applications, from web development to data analysis. - AWS CLI Integration: Pre-installed AWS Command Line Interface tools enable efficient management of AWS services directly from the instance. Primary Value and User Benefits: This AMI streamlines the setup process for developers by providing a ready-to-use environment, reducing the time and effort required to configure a development server. It ensures compatibility between the operating system and Python version, minimizing potential conflicts and enhancing system stability. The inclusion of AWS CLI tools allows for seamless interaction with AWS services, facilitating tasks such as resource management, deployment, and automation. Overall, this AMI offers a reliable and efficient platform for developing, testing, and deploying Python applications in the AWS cloud environment.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Python 3.7 with Debian 10?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Python 3.7 with Debian 10?

What Are G2 Users Discussing About Python 3.7 with Debian 10?

Python 3.8 with Ubuntu 18.04 LTS

The "Python 3.8 with Ubuntu 18.04 LTS" Amazon Machine Image (AMI) offers a pre-configured environment combining Python 3.8 with Ubuntu 18.04 LTS, facilitating the rapid deployment of Python applications on AWS. This AMI is designed to streamline the setup process, allowing developers to focus on building and deploying applications without the overhead of manual configuration. Key Features and Functionality: - Pre-Installed Python 3.8: Provides immediate access to Python 3.8, enabling the development and execution of Python applications without additional installation steps. - Ubuntu 18.04 LTS Base: Utilizes the stable and secure Ubuntu 18.04 LTS operating system, ensuring compatibility with a wide range of software packages and long-term support. - AWS Integration: Optimized for deployment on Amazon EC2 instances, offering seamless integration with AWS services and infrastructure. - Support Services: Includes remote support from Fifty Clouds, providing assistance with setup, configuration, and troubleshooting. Primary Value and User Solutions: This AMI addresses the common challenges associated with setting up a Python development environment by offering a ready-to-use solution. Users benefit from reduced setup time, consistent configurations, and the reliability of a maintained and supported image. By leveraging this AMI, developers can accelerate their project timelines, ensure system stability, and focus more on application development rather than environment configuration.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind Python 3.8 with Ubuntu 18.04 LTS?

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Python 3.8 with Ubuntu 18.04 LTS?

Python 3 Minimal with Ubuntu 18.04 LTS

The "Python 3 Minimal with Ubuntu 18.04 LTS" Amazon Machine Image (AMI) offers a streamlined and efficient environment for developers seeking to deploy Python-based applications on AWS. This AMI combines the versatility of Python 3 with the stability of Ubuntu 18.04 LTS, providing a reliable foundation for various development projects. Key Features and Functionality: - Pre-installed Python 3: Ensures immediate readiness for Python development without additional setup. - Minimal Ubuntu 18.04 LTS Installation: Offers a lightweight operating system, reducing resource consumption and enhancing performance. - AWS Optimization: Tailored for seamless integration with AWS services, facilitating efficient deployment and scalability. Primary Value and User Solutions: This AMI addresses the need for a clean, minimalistic environment for Python development, eliminating the overhead of unnecessary packages. It provides developers with a stable and efficient platform, reducing setup time and allowing focus on application development. The combination of Python 3 and Ubuntu 18.04 LTS ensures compatibility with a wide range of libraries and tools, making it suitable for various applications, from web development to data analysis.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Python 3 Minimal with Ubuntu 18.04 LTS?

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Python 3 Minimal with Ubuntu 18.04 LTS?

What Are G2 Users Discussing About Python 3 Minimal with Ubuntu 18.04 LTS?

Python Container Solution

The Bitnami Container Solution for Python offers a secure, up-to-date, and customizable environment for deploying Python applications. Designed to facilitate rapid development and seamless system integration, this solution ensures that developers can focus on coding without the complexities of environment setup. By leveraging Bitnami's commitment to security and best practices, users receive a reliable platform that adapts to various deployment scenarios. Key Features and Functionality: - Up-to-Date and Secure: Bitnami ensures that the container is promptly updated to address vulnerabilities and incorporate new releases, providing a secure and current environment for Python applications. - Efficient and Lightweight: Utilizing a minimal base image, the container is optimized for performance and resource efficiency, adhering to community best practices. - Flexible Deployment: Compatible with Amazon Elastic Container Service (ECS and Amazon Elastic Kubernetes Service (EKS, the solution offers versatility in deployment options. - Helm Chart Availability: Bitnami provides Helm Charts for the container, facilitating easy deployment and management within Kubernetes clusters. Primary Value and User Solutions: The Bitnami Container Solution for Python streamlines the deployment process by offering a pre-configured, secure, and efficient environment. This allows developers to concentrate on building and integrating Python applications without the overhead of environment configuration and maintenance. The solution's compatibility with AWS services like ECS and EKS ensures scalability and flexibility, catering to diverse application needs.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Python Container Solution?

  • Seller: Broadcom
  • Year Founded: 1991
  • HQ Location: San Jose, CA
  • LinkedIn® Page: www.linkedin.com
    44,602 employees on LinkedIn®
  • Ownership: NASDAQ: CA
  • Phone: +1 800 225-5224

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Python Container Solution?

PyTorch 0.3 Python 2.7 CPU Production

The PyTorch 0.3 Python 2.7 CPU Notebook is a pre-configured and fully integrated runtime environment designed for machine learning and data science applications. It combines PyTorch 0.3, an open-source machine learning library, with Python 2.7 and Jupyter Notebook, a browser-based interactive platform for programming and data analysis. This stack is optimized for CPU performance, providing a stable and tested execution environment suitable for both short and long-running high-performance tasks. It can be seamlessly integrated into continuous integration and deployment workflows, making it ideal for training, inference, or running as an API service. Key Features and Functionality: - Integrated Software Stack: Combines PyTorch 0.3, Python 2.7, and Jupyter Notebook for a cohesive development environment. - CPU Optimization: Tailored for high-performance tasks on CPU, ensuring efficient resource utilization. - Versatile Deployment Options: Can be installed on new or existing Linux servers, run as a virtual machine, used as a base image for Docker or Vagrant, or launched on various cloud platforms. - Development Tools: Includes a development preset with essential tools like C compiler and make for program development and building. Primary Value and User Solutions: This product addresses the need for a ready-to-use, stable, and high-performance environment for machine learning and data science projects. By integrating essential tools and libraries, it reduces setup time and complexity, allowing users to focus on development and research. Its CPU optimization ensures efficient execution of tasks without the need for specialized hardware, making it accessible for a wide range of users and applications.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind PyTorch 0.3 Python 2.7 CPU Production?

  • Seller: Jetware
  • Year Founded: 2017
  • HQ Location: Roma, IT
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of PyTorch 0.3 Python 2.7 CPU Production?

PyTorch CPU MKL Notebook

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.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate PyTorch CPU MKL Notebook?

  • Quality of Support: 6.7/10 (Category avg: 8.5/10)
  • Ease of Use: 6.7/10 (Category avg: 8.7/10)

Who Is the Company Behind PyTorch CPU MKL Notebook?

  • Seller: Jetware
  • Year Founded: 2017
  • HQ Location: Roma, IT
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of PyTorch CPU MKL Notebook?

What Are G2 Users Discussing About PyTorch CPU MKL Notebook?

Neeraja Prakash
NP
Researched and written by Neeraja Prakash
Updated June 16, 2025