Best AWS Marketplace Software - Page 151

How Many AWS Marketplace Software Products Does G2 Track?

Total Products under this Category: 2,450

Category Stats (Nov 2026)

  • Average Rating: 4.39/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: GPT-2 XL - Text generation (+3.21%) - Among all products in this category, GPT-2 XL - Text generation recorded the largest rating increase compared to last month

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.

Ticket Classification & Assignment

The "Ticket Classification & Assignment" solution is an automated system designed to enhance the efficiency of handling Jira support tickets by leveraging Amazon Bedrock's AI capabilities. This Python-based application streamlines the process of categorizing and assigning tickets, reducing manual effort and improving response times. Key Features and Functionality: - Automated Ticket Classification: Utilizes Amazon Bedrock's large language models to analyze and classify Jira tickets based on their content, ensuring accurate categorization without manual intervention. - Seamless Integration with Jira: Processes Jira ticket exports placed in an Amazon S3 bucket, making it compatible with Jira Server instances and providing automation capabilities similar to those available in Jira Cloud. - Data Deduplication: Employs AWS Glue to eliminate duplicate tickets, maintaining data integrity and preventing redundant processing. - Scalable Deployment: Deploys resources in your AWS environment using Terraform, allowing for scalable and repeatable infrastructure management. Primary Value and Problem Solved: This solution addresses the common challenge of manual ticket classification and assignment, which can be time-consuming and prone to errors. By automating these processes, organizations can achieve faster response times, improved accuracy in ticket handling, and enhanced operational efficiency. The integration with Amazon Bedrock's AI models ensures that the system remains adaptable and capable of handling complex classification tasks, ultimately leading to better resource allocation and increased customer satisfaction.

Who Is the Company Behind Ticket Classification & Assignment?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Tidal Media OpenVPN - Free VPN Server on Linux

OpenVPN is an award-winning open source VPN protocol is the de-facto standard for secure accessing of private information. Wherever you are surfing the net, whether it's at home, over a public wi-fi or traveling, know that your connection is encrypted and your IP address is anonymous. Your devices and network will remain secure and defended with OpenVPN. OpenVPN provides flexible VPN solutions to protect your data communications for Internet privacy, remote employee access,IoT security, or Cloud data centers networking. OpenVPN Server software solution is easily deployable on AWS.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate Tidal Media OpenVPN - Free VPN Server on Linux?

  • 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 Tidal Media OpenVPN - Free VPN Server on Linux?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Tidal Media OpenVPN - Free VPN Server on Linux?

Tidre: an FPGA accelerator for matching regular expressions

Tidre is an FPGA accelerator for matching regular expressions using F1 instances.This demo application demonstrates how Fletcher and Apache Arrow can be used on F1 instances to accelerate regular expression matching. A data generation tool and two bitstreams are provided to evaluate Tidre.

Who Is the Company Behind Tidre: an FPGA accelerator for matching regular expressions?

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Tiger Analytics Insights Agents

Tiger Analytics Insights Agents is an AI-driven platform that transforms natural language queries into actionable business insights from structured data. Utilizing Large Language Models (LLMs) and AWS native services like AWS Bedrock, AWS Athena, and AWS Redshift, it orchestrates a network of specialized agents to handle tasks such as SQL generation, charting, insights synthesis, retrieval-augmented generation (RAG), and machine learning (ML) modeling. This collaborative approach enables the system to manage complex analytical requests, including multi-table joins and predictive modeling, delivering outputs in the form of queries, charts, summaries, or detailed diagnostics. The platform's observability features track performance metrics like latency, cost, and token consumption, ensuring transparency and optimization. By dynamically adapting to user intent, Insights Agents empowers business users to effortlessly transition from questions to insights across a range of analytical complexities. Key Features and Functionality: - Task-Specific Agents: Dedicated agents handle individual tasks—such as SQL generation, insights synthesis, charting, RAG, ML modeling, or Python scripting—ensuring precise, composable, and explainable outputs. - Complex Data Handling: Capable of managing multi-table joins, intricate business metrics, ML models, and multi-modal outputs, including narrative summaries and visual analytics. - Intuitive Interface: Provides a chat-based interface that allows users to ask follow-up questions, refine queries, and explore data without the need for SQL knowledge or coding skills. Primary Value and User Solutions: Insights Agents democratizes data analysis by enabling business users to generate comprehensive insights without technical expertise. By automating the decomposition of complex queries and coordinating specialized agents, it streamlines the analytical process, reducing the time and effort required to interpret structured data. This leads to more informed decision-making, enhanced operational efficiency, and the ability to uncover valuable insights that drive business growth.

Who Is the Company Behind Tiger Analytics Insights Agents?

TiGRIS FISMA & FedRAMP ConMon SaaS

With the TalaTek intelligent Governance and Risk Integrated Solution (TiGRIS), FedRAMP accredited, managed service, you do not need to be an expert in Compliance. TiGRIS is preconfigured with a variety of frameworks to meet your business needs, predefined workflows, risk metrics, dashboards and reports. We provide what is needed to get your program up and going quickly. Supporting multiple standards such as FISMA & FedRAMP (NIST 800-53), NIST Cybersecurity Framework (CSF) and other standards. We help your organization gain control over and visibility into the complex security requirements, deliverables and ongoing risk management tasks. With customizable Risk Scoring tailored to your unique risk appetite, mapped to your system specific, inherited and hybrid security controls designed to help determine your residual risks. Automated workflows and Alerts ensure compliance tasks are completed on time.

Who Is the Company Behind TiGRIS FISMA & FedRAMP ConMon SaaS?

  • Seller: TalaTek
  • Year Founded: 2006
  • HQ Location: Oakton, US
  • LinkedIn® Page: www.linkedin.com
    12 employees on LinkedIn®

Tiki Wiki CMS Groupware with Pre-configured Stack

This product has charges associated with it for seller support and pre-configured stack. Intuz TikiWiki CMS is a pre-configured, ready to run image on Amazon EC2 and has Apache2, MySQL, PHP, phpMyAdmin, Webmin, TikiWiki CMS, and Scripts which make it easy for you to use TikiWiki CMS.

Who Is the Company Behind Tiki Wiki CMS Groupware with Pre-configured Stack?

  • Seller: Intuz
  • Year Founded: 2008
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    59 employees on LinkedIn®

Tiki Wiki on Windows Server 2012 Powered by GlobalSolutions

Tiki Wiki on Windows Server 2012, powered by GlobalSolutions, is a comprehensive, open-source content management system (CMS) and Groupware platform designed to facilitate the creation and management of websites, intranets, and web applications. This solution integrates Tiki Wiki CMS Groupware with Windows Server 2012, offering a robust environment for collaborative content creation and management. Key Features and Functionality: - Content Management: Enables the creation, organization, and management of web content, including articles, blogs, and wiki pages. - Collaboration Tools: Provides forums, chat, polls, and newsletters to enhance team communication and collaboration. - Customization Options: Offers a variety of themes, templates, and plugins for extensive customization. - Integrated Environment: Combines Tiki Wiki CMS Groupware with Windows Server 2012 for a seamless user experience. Primary Value and User Solutions: This product addresses the need for a versatile and feature-rich CMS that operates within a Windows Server environment. It simplifies the deployment and management of collaborative web platforms, making it ideal for organizations seeking an integrated solution for content management and team collaboration.

Who Is the Company Behind Tiki Wiki on Windows Server 2012 Powered by GlobalSolutions?

Time Series Inventory Forecasting

Inventory Forecasting generates 30 months of forward forecast of the Inventory using historical data. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the right model based on the input data.

Who Is the Company Behind Time Series Inventory Forecasting?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Time Series Product Demand Forecasting

Time Series Product Demand Forecasting is a machine learning-based service designed to generate accurate demand forecasts for products over specified time horizons. By analyzing historical sales data and identifying patterns, it enables businesses to predict future product demand, facilitating informed decision-making in inventory management, procurement, and resource allocation. Key Features and Functionality: - Automated Machine Learning: Utilizes advanced algorithms to automatically select the optimal forecasting model for your data, eliminating the need for manual model selection. - Probabilistic Forecasts: Provides forecasts at multiple quantiles (e.g., 10%, 50%, 90%, allowing businesses to assess various demand scenarios and plan accordingly. - Incorporation of External Variables: Enhances forecast accuracy by integrating additional variables such as price changes, promotions, and external factors like weather conditions. - Scalability: Capable of processing large datasets and generating forecasts for millions of products, making it suitable for businesses of all sizes. - Continuous Model Monitoring: Automatically tracks model performance over time, enabling timely updates and adjustments to maintain forecast accuracy. Primary Value and Problem Solved: Time Series Product Demand Forecasting addresses the challenge of accurately predicting product demand, which is crucial for optimizing inventory levels, reducing waste, and improving customer satisfaction. By leveraging machine learning, it delivers forecasts that are up to 50% more accurate than traditional methods, enabling businesses to make data-driven decisions, minimize stockouts and overstock situations, and enhance overall operational efficiency.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Time Series Product Demand Forecasting?

  • 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 Time Series Product Demand Forecasting?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Time Series Product Demand Forecasting?

Time Series Ticket Forecasting

Mphasis time series ticket forecasting helps businesses predict the number of tickets of a specific type based on historic data. This will help businesses assess the level of automation as well as human intervention required to resolve the issues and plan accordingly. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the right model based on the input data.

Who Is the Company Behind Time Series Ticket Forecasting?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Time Series Web Traffic Forecasting

Web Traffic Forecasting enables enterprises to optimize web server allocation, scaling for instances, parallelise workload traffic and utilization by generating 30 days of forward forecast of web traffic data. This helps enterprises to plan their IT infrastructure strategy across the cloud and on premise scenarios. It facilitates seamless end user experience and satisfied customers. It uses ensemble ML algorithms with automatic model selection. This solution performs automated model selection to apply the right model based on the input data, thereby providing consistent and better results.

Who Is the Company Behind Time Series Web Traffic Forecasting?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

TinyProxy 1.8.4 Easy Proxy Server for Ubuntu 18.04

Tinyproxy is a light-weight HTTP/HTTPS proxy daemon for POSIX operating systems. It is very useful in a small network setting, where a larger proxy would either be too resource-intensive or a security risk.

Who Is the Company Behind TinyProxy 1.8.4 Easy Proxy Server for Ubuntu 18.04?

TinyProxy 1.8.4 Easy Proxy Server for Ubuntu 20.04

TinyProxy is a lightweight open source web proxy. It is very useful in a small network setting, where a larger proxy would either be too resource demanding, or a security risk. It is an ideal solution when a HTTP/HTTPS proxy is needed, but resources for a larger proxy are unreasonable to use.

Who Is the Company Behind TinyProxy 1.8.4 Easy Proxy Server for Ubuntu 20.04?

TinyProxy Easy Proxy Server on CentOS 8.2

TinyProxy is a light-weight HTTP/HTTPS proxy daemon for POSIX operating systems. This is an ideal solution for use cases such as embedded deployments where a full-featured HTTP proxy is required, but the system resources for a larger proxy are unavailable.

Who Is the Company Behind TinyProxy Easy Proxy Server on CentOS 8.2?

TinyProxy Protected Proxy Server for Ubuntu 18.04

TinyProxy is a light-weight HTTP/HTTPS proxy daemon for POSIX operating systems, which is very useful in small networks setting. Being a right choice when a bigger proxy would either be too resource requiring, or a security risk, TinyProxy is an ideal solution when a small network needs a HTTP/HTTPS proxy

Who Is the Company Behind TinyProxy Protected Proxy Server for Ubuntu 18.04?

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