# Best AWS Marketplace Software - Page 138

## How Many AWS Marketplace Software Products Does G2 Track?

**Total Products under this Category:** 2,544

### Category Stats (Aug 2026)

- **Average Rating:** 4.39/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** ELK Kubernetes Container Solution Stack (+1.95%) - Among all products in this category, ELK Kubernetes Container Solution Stack recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank AWS Marketplace Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 29,700+ Authentic Reviews
- 2,544+ 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.

**Sponsored**

### Fortinet Managed Rules for AWS WAF

Fortinet’s WAF rulesets are additional security signatures that can be used to enhance the protections included in the base AWS WAF product. They are updated on a regular basis to include the latest threat intelligence from the award-winning FortiGuard Labs. The Complete OWASP Top 10 Ruleset provides a comprehensive package for web application protection offered by Fortinet to help address the OWASP Top 10 web application threats. Includes protection for various Injection attacks such as SQL and command Injection , Cross Site Scripting, General and Known Exploits, Malicious Bots and Common Vulnerabilities and Exposures (CVE).

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=2598&secure%5Bchosen_at%5D=2026-08-02T05%3A56%3A45Z&secure%5Bdisplayable_resource_id%5D=2598&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2598&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=145276&secure%5Bresource_id%5D=2598&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Faws-marketplace%3Fpage%3D138&secure%5Btoken%5D=2f180de94c4e43e54af62f8f8b3c5b2bbd0b7b91273b300f6008a8773a1c1bde&secure%5Burl%5D=https%3A%2F%2Fwaf-security.com%2F%3Futm_source%3Dg2%26utm_medium%3Dcpc%26utm_id%3Ddirect-publisher&secure%5Burl_type%5D=custom_url)

### [RHEL 7.6 (ARM) with Support by Supported Images](https://www.g2.com/products/rhel-7-6-arm-with-support-by-supported-images/reviews)

This product has charges associated with it for seller support. This latest RedHat Enterprise Linux 7 (ARM) (RHEL 7) is available pre-configured by Supported Images to have the latest patches and security setting at image launch.

#### Who Is the Company Behind RHEL 7.6 (ARM) with Support by Supported Images?

- **Seller:** [Supported Images](https://www.g2.com/sellers/supported-images-2a9b5d8f-6313-4986-91c0-39b460e3cf43)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0aeb553e94129f3e841bdb0afd606170d988c14ba43eb7ac4a34c82590c6a97a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsupported-images%2F&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [RHEL 7 AMI for FlashGrid SkyCluster with Oracle RAC](https://www.g2.com/products/rhel-7-ami-for-flashgrid-skycluster-with-oracle-rac/reviews)

FlashGrid's RHEL 7 AMI for FlashGrid SkyCluster with Oracle RAC is a pre-configured Amazon Machine Image designed to facilitate the deployment of Oracle Real Application Clusters on Amazon Web Services . This AMI integrates FlashGrid's engineered cloud system, enabling active-active database high availability infrastructure in public clouds. By leveraging this solution, organizations can achieve near-zero recovery time objectives and zero recovery point objectives in the event of node, storage, or availability zone failures. Key Features and Functionality: - High Availability Architecture: Utilizes Oracle RAC's active-active clustering and synchronous data mirroring across nodes and availability zones to ensure continuous database operation. - Infrastructure-as-Code Deployment: Delivered as an AWS CloudFormation template, the solution automates the configuration of multiple components required for a database cluster. The FlashGrid Launcher tool simplifies the deployment process by guiding users through cluster configuration parameters and generating CloudFormation templates. - Comprehensive Support: Offers 24x7 technical support covering the entire infrastructure stack, including FlashGrid software, Oracle ASM and Clusterware, EC2 instances, VPC networking, EBS volumes, Linux kernel, and networking/storage components. Primary Value and User Solutions: The RHEL 7 AMI for FlashGrid SkyCluster with Oracle RAC addresses the critical need for high availability and disaster recovery in cloud-based Oracle database deployments. By providing a robust, pre-configured environment, it simplifies the migration of mission-critical databases to AWS, ensuring minimal downtime and data loss. This solution is particularly beneficial for organizations seeking to maintain enterprise-grade database performance and reliability in the cloud.

#### Who Is the Company Behind RHEL 7 AMI for FlashGrid SkyCluster with Oracle RAC?

- **Seller:** [FlashGrid](https://www.g2.com/sellers/flashgrid-fe614cc5-254a-48f9-a5d0-dbbcaae31a7d)
- **Year Founded:** 2015
- **HQ Location:** Sunnyvale, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4c36cdd11a73dfc30d2e849ef0649ba0e1bfd9235e53f893d82867e805fc9b1d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fflashgrid%2F&secure%5Burl_type%5D=linkedin_company_website)  
17 employees on LinkedIn®

### [RHEL 8.4 (ARM) with support by ProComputers](https://www.g2.com/products/rhel-8-4-arm-with-support-by-procomputers/reviews)

This is a minimal RedHat Enterprise Linux RHEL 8.4 ARM image, mainly used as a common base system on top of which other appliances could be built and tested. It contains just enough packages to run within AWS, bring up a SSH Server and allow users to login. Cloud-init, as well as the security updates available at the release date are included.

#### Who Is the Company Behind RHEL 8.4 (ARM) with support by ProComputers?

- **Seller:** [ProComputers.com](https://www.g2.com/sellers/procomputers-com-24215bff-13e4-4fc3-a8ab-d1cdd54f8ea5)
- **HQ Location:** N/A
- **Twitter:** @ProComputersWeb  
2 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [RHEL 8 with support by ProComputers](https://www.g2.com/products/rhel-8-with-support-by-procomputers/reviews)

This is a minimal RedHat Enterprise Linux RHEL 8 image, mainly used as a common base system on top of which other appliances could be built and tested. It contains just enough packages to run within AWS, bring up a SSH Server and allow users to login. Cloud-init, as well as the security updates available at the release date are included.

#### Who Is the Company Behind RHEL 8 with support by ProComputers?

- **Seller:** [ProComputers.com](https://www.g2.com/sellers/procomputers-com-24215bff-13e4-4fc3-a8ab-d1cdd54f8ea5)
- **HQ Location:** N/A
- **Twitter:** @ProComputersWeb  
2 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Right Party Contact Likelihood](https://www.g2.com/products/right-party-contact-likelihood/reviews)

This model picks the best time of day and phone number to contact for collections agents to recover credit card debt on delinquent accounts.

#### Who Is the Company Behind Right Party Contact Likelihood?

- **Seller:** [ElectrifAi](https://www.g2.com/sellers/electrifai-6f99f1b0-33e0-489e-acf4-a875e256745d)
- **Year Founded:** 2004
- **HQ Location:** Jersey City, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=3bf532f9fd4f390ca03b10f0e632cc3637c89850b560cea72055c9e9bbce35b0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Felectrifai&secure%5Burl_type%5D=linkedin_company_website)  
65 employees on LinkedIn®

### [Risotto](https://www.g2.com/products/risotto-risotto/reviews)

Risotto is an AI-powered help desk and ITSM agent that automates internal support where employees already work, in Slack, Microsoft Teams, and email. Built by IT for IT and trusted by teams like Instacart, Gusto, ThoughtSpot, Jobber, Fundrise, and Retool, Risotto resolves up to 70% of Tier-1 tickets end-to-end with an AI agent that understands context and intent, not just keywords. Out of the box, Risotto rapidly automates the requests that flood lean IT teams: password resets, software access, general knowledge troubleshooting, identity and provisioning issues, MDM-related device requests, and more. Time-to-value is a key differentiator. Rather than the weeks of configuration legacy ITSM tools require, many customers see high automation numbers within hours of going live. Risotto fits however your support is set up today. It can augment your existing ticketing system, layering AI automation on top of tools like Jira Service Management, Freshservice, Zendesk, and ServiceNow, or serve as a complete standalone ticketing system in its own right. Unlike keyword-matching chatbots, Risotto holds a real conversation. It asks clarifying questions, walks employees through multi-step troubleshooting, and only escalates what truly needs a human, with full context. For harder, ambiguous problems, Risotto's Tier-2 assistant goes further, researching the issue and suggesting remediation plans. And because it learns from every interaction and from your documentation, it gets more accurate over time. Risotto also automates identity and access management. Employees request access with a simple message; Risotto confirms permissions, coordinates approvals, and provisions through your IAM tools, with time-bound and just-in-time (JIT) access and a complete audit trail. Knowledge management is automatic too: Risotto blends answers from Notion, Confluence, Google Drive, Guru, SharePoint, and Slack, turns support threads into articles, and keeps everything current without manual upkeep. Beyond IT, Risotto extends the same automation to HR, Legal, Finance, Engineering, and Security, with native HRIS integrations like BambooHR and Workday. Fragmented requests across teams unify into a single funnel that auto-triages by intent, while department-level permissions keep sensitive requests private and compliant. While Risotto's bread and butter is workflows across chat, ticketing, knowledge, identity, HRIS, and MDM, it also handles complex tickets across your CRM, procurement system of record, contract management tools, and more. It connects natively to Okta, Microsoft Entra, Google Workspace, GitHub, Linear, Asana, and Jamf, and its MCP server enables native connections to tools like Claude Cowork. Risotto is SOC 2 compliant, HIPAA compliant, and built to clear infosec reviews. Risotto is the best fit for mid-to-large organizations that already use an ITSM (or small organizations looking for their first AI-native ITSM), have lean teams strained by Tier-1 volume, need support across multiple departments, and want to consolidate scattered knowledge, without forcing employees onto a new portal. Get started with a free demo and a free 30-day pilot.

**Average Rating:** 4.8/5.0

**Total Reviews:** 4

#### How Do G2 Users Rate Risotto?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Quality of Support:** 5.8/10 (Category avg: 8.5/10)
- **Ease of Admin:** 8.3/10 (Category avg: 8.6/10)
- **Ease of Use:** 9.4/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Risotto?

- **Seller:** [Risotto](https://www.g2.com/sellers/risotto)
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=549b32ff3f1a342016a4bc9a4d7a8f970887e10f0ac5c1ea6d6b225796e45082&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftryrisotto%2F&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 100% Medium

#### What Are Recent G2 Reviews of Risotto?

**["More Time for What Matters"](https://www.g2.com/survey_responses/risotto-review-13155051)**

**Rating:** 4.5/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/risotto-review-13155051)

**["Auto-solves 40-45% of IT requests and keeps getting better"](https://www.g2.com/survey_responses/risotto-review-13000376)**

**Rating:** 4.5/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/risotto-review-13000376)

### [RLCatalyst4.3.0.1](https://www.g2.com/products/rlcatalyst4-3-0-1/reviews)

RLCatalyst 4.3.0.1 is a comprehensive solution designed to streamline the consumption and management of AWS resources, particularly tailored for scientific research institutions. It offers a self-service portal that integrates seamlessly into existing AWS accounts, providing users with one-click access to AWS Service Catalog assets, robust budget management, and secure data governance. This cost-effective, pre-built solution is available in both SaaS and enterprise models, enabling universities and research organizations to adopt it with minimal upfront investment. Key Features and Functionality: - Self-Service Portal: Empowers users with a user-friendly interface to access and manage AWS resources efficiently. - Cost and Budget Management: Provides tools to monitor and control expenditures, ensuring projects stay within budget constraints. - Secure Data Governance: Implements AWS best practices to maintain data security and compliance. - Pre-Built Catalog: Offers a ready-to-use selection of AWS Service Catalog products, facilitating quick deployment. - Flexible Deployment Options: Supports both self-hosted and managed hosting models to suit different organizational needs. Primary Value and User Solutions: RLCatalyst 4.3.0.1 addresses the challenges faced by research institutions in managing cloud resources by providing a centralized platform that simplifies resource provisioning, enhances cost visibility, and ensures secure data handling. By integrating seamlessly with existing AWS accounts, it reduces the complexity and time required to set up and manage cloud environments, allowing researchers to focus more on their scientific endeavors rather than on administrative tasks.

#### Who Is the Company Behind RLCatalyst4.3.0.1?

- **Seller:** [RELEVANCE LAB](https://www.g2.com/sellers/relevance-lab-5d654373-6679-4659-8ee7-9ac02e1e4309)
- **Year Founded:** 2011
- **HQ Location:** San Jose, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c2c2a22278ff5917bbca7195421cc4f90810834a0c8b1aebc203d33ff10455ee&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frelevance-lab&secure%5Burl_type%5D=linkedin_company_website)  
463 employees on LinkedIn®

### [RLCatalyst 4.3.2](https://www.g2.com/products/rlcatalyst-4-3-2/reviews)

RLCatalyst BOTs Server is an Intelligent Automation product that allows you to drive efficiencies across DevOps, TechOps, ServiceOps, SecOps and BusinessOps. RLCatalyst BOTs Server acts as an "Automation Service Bus" and integrates with Cloud Providers, Configuration Management tools and ITSM tools. It provides a mature solution to design, run, orchestrate and govern your Enterprise-wide automation needs.

#### Who Is the Company Behind RLCatalyst 4.3.2?

- **Seller:** [RELEVANCE LAB](https://www.g2.com/sellers/relevance-lab-5d654373-6679-4659-8ee7-9ac02e1e4309)
- **Year Founded:** 2011
- **HQ Location:** San Jose, California, United States
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c2c2a22278ff5917bbca7195421cc4f90810834a0c8b1aebc203d33ff10455ee&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frelevance-lab&secure%5Burl_type%5D=linkedin_company_website)  
463 employees on LinkedIn®

### [rmtoo](https://www.g2.com/products/rmtoo/reviews)

rmToo is a free and open-source requirements management tool designed for developers who prefer command-line interfaces and text-based workflows. It enables efficient handling of software requirements by integrating seamlessly with version control systems like Git, allowing for collaborative and versioned management of requirements. rmToo supports the creation of various artifacts, including PDFs, HTML documents, and dependency graphs, facilitating comprehensive documentation and analysis. Its modular and customizable design allows users to tailor the tool to their specific project needs, enhancing flexibility and adaptability. By leveraging existing development environments and tools, rmToo streamlines the requirements management process, making it an ideal choice for teams seeking a lightweight yet powerful solution. Key Features and Functionality: - Command-Line Efficiency: Optimized for command-line operations, rmToo integrates smoothly with text editors and development tools like Emacs, vi, and Eclipse. - Version Control Integration: Full integration with Git enables history tracking, statistics, and baseline management, ensuring comprehensive version control. - Versatile Output Formats: Generates diverse artifacts, including PDFs, HTML documents, and various graphs, all interlinked and integrated within the development workflow. - SCRUM and Agile Support: Provides comprehensive support for SCRUM artifacts and agile project development, enhancing project management processes. - Customizability and Modularity: Offers a highly customizable experience with a modular design, allowing for easy extension and adaptation to specific needs. - Robust Analytics and Editing: Includes advanced analytics modules and an Emacs mode for requirement editing, ensuring quality and efficiency. Primary Value and Problem Solved: rmToo addresses the need for a streamlined, text-based requirements management solution that integrates seamlessly with existing development environments. By eliminating the need for specialized graphical interfaces, it allows developers to manage requirements using familiar command-line tools and text editors, enhancing productivity and reducing the learning curve. Its integration with version control systems ensures that requirement changes are tracked and managed effectively, promoting collaboration and maintaining project integrity. The tool's flexibility and customizability make it suitable for a wide range of projects, particularly those following agile methodologies, by providing essential features like dependency management, traceability, and comprehensive documentation generation.

#### Who Is the Company Behind rmtoo?

- **Seller:** [flonatel](https://www.g2.com/sellers/flonatel)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [RoBERTa Base OpenAI](https://www.g2.com/products/roberta-base-openai/reviews)

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

#### Who Is the Company Behind RoBERTa Base OpenAI?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

### [RoBERTa Base PyTorch Hub Extractive Question Answering](https://www.g2.com/products/roberta-base-pytorch-hub-extractive-question-answering/reviews)

This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface\_pytorch-transformers/ ). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings.

#### Who Is the Company Behind RoBERTa Base PyTorch Hub Extractive Question Answering?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

### [RoBERTa Large Extractive Question Answering Model](https://www.g2.com/products/roberta-large-extractive-question-answering-model/reviews)

This is a Extractive Question Answering model from PyTorch Hub

#### Who Is the Company Behind RoBERTa Large Extractive Question Answering Model?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

### [RoBERTa Large OpenAI](https://www.g2.com/products/roberta-large-openai/reviews)

This is a Extractive Question Answering model from PyTorch Hub

#### Who Is the Company Behind RoBERTa Large OpenAI?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

### [RoBERTa Large OpenAI PyTorch Hub Sentence Pair Classification](https://www.g2.com/products/roberta-large-openai-pytorch-hub-sentence-pair-classification/reviews)

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

#### Who Is the Company Behind RoBERTa Large OpenAI PyTorch Hub Sentence Pair Classification?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

### [RoBERTa Large Sentence Pair Classification](https://www.g2.com/products/roberta-large-sentence-pair-classification/reviews)

This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface\_pytorch-transformers/ ). It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the entire model on [QNLI](https://rajpurkar.github.io/SQuAD-explorer/ ) dataset.

#### Who Is the Company Behind RoBERTa Large Sentence Pair Classification?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

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 ![Neeraja Prakash](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Neeraja Prakash")
NP

Researched and written by [Neeraja Prakash](https://research.g2.com/insights/author/neeraja-prakash)

Updated June 16, 2025

The AWS Marketplace category includes a diverse range of software solutions designed to enhance and optimize operations within the Amazon Web Services (AWS) ecosystem. These products offer pre-configured Amazon Machine Images (AMIs), container solutions, and specialized services that cater to various business needs, from secure web hosting and data labeling to machine learning model deployment and transportation cost prediction. By leveraging AWS infrastructure, these solutions provide scalability, security, and seamless integration with existing AWS services, enabling businesses to efficiently deploy, manage, and scale their applications and services in the cloud.

To qualify for inclusion in the AWS Marketplace category, a product must:

- Have features and use cases that do not fit into existing marketplace apps categories
- Be designed to integrate with or enhance the functionality of AWS services, providing value through pre-configured environments, specialized tools, or managed services

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