# Best AWS Marketplace Software - Page 132

## 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
- 29,800+ 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=2026-08-04T22%3A23%3A38Z&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%3D132&secure%5Btoken%5D=4312cec28f38b1edb6bf5c0fd2c8b7489ef1ec064609f869769a626d35c4f7db&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)

### [Propensity US: Valentine's Day Clothing](https://www.g2.com/products/propensity-us-valentine-s-day-clothing/reviews)

Propensity US: Valentine's Day Clothing is a data product offered by Prosper Insights & Analytics, available through the AWS Marketplace. This dataset provides comprehensive insights into consumer behavior and purchasing patterns related to Valentine's Day clothing in the United States. By analyzing this data, businesses can better understand market trends, customer preferences, and seasonal demand fluctuations, enabling them to make informed decisions and tailor their marketing strategies effectively. Key Features and Functionality: - Consumer Behavior Analysis: Offers detailed information on purchasing habits, including demographics, spending patterns, and product preferences specific to Valentine's Day apparel. - Market Trend Insights: Identifies emerging trends and popular clothing items during the Valentine's season, helping businesses stay ahead of the competition. - Data-Driven Decision Making: Provides actionable insights that can inform inventory management, marketing campaigns, and product development strategies. Primary Value and Problem Solved: Propensity US: Valentine's Day Clothing addresses the challenge businesses face in understanding and predicting consumer behavior during seasonal events. By leveraging this dataset, companies can enhance their market intelligence, optimize their product offerings, and develop targeted marketing initiatives that resonate with their audience, ultimately driving sales and improving customer satisfaction.

#### Who Is the Company Behind Propensity US: Valentine's Day Clothing?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Propensity US: Valentine's Day Flowers](https://www.g2.com/products/propensity-us-valentine-s-day-flowers/reviews)

Propensity US: Valentine's Day Flowers is a predictive analytics model designed to assist businesses in forecasting consumer purchasing behavior for Valentine's Day floral products. By analyzing historical data and identifying key trends, this model enables retailers and suppliers to optimize inventory, tailor marketing strategies, and enhance customer engagement during the Valentine's Day season. Key Features and Functionality: - Predictive Analytics: Utilizes advanced algorithms to forecast demand for various floral products, helping businesses anticipate sales volumes and adjust supply chains accordingly. - Consumer Behavior Insights: Analyzes purchasing patterns to identify which flowers are most popular among different demographics, allowing for targeted marketing campaigns. - Inventory Optimization: Provides recommendations on stock levels to minimize overstocking or stockouts, ensuring product availability aligns with consumer demand. - Market Trend Analysis: Monitors industry trends, such as the increasing popularity of alternative flowers like tulips and lilies, enabling businesses to diversify their offerings. Primary Value and Problem Solved: Propensity US: Valentine's Day Flowers addresses the challenge of accurately predicting consumer demand for floral products during one of the industry's peak seasons. By leveraging data-driven insights, businesses can reduce waste, increase sales, and improve customer satisfaction. The model's ability to forecast trends and preferences ensures that retailers are well-prepared to meet the needs of their customers, ultimately leading to a more profitable and efficient Valentine's Day sales period.

#### Who Is the Company Behind Propensity US: Valentine's Day Flowers?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Propensity US: Valentine's Day Jewelry](https://www.g2.com/products/propensity-us-valentine-s-day-jewelry/reviews)

Propensity US: Valentine's Day Jewelry is a specialized dataset designed to enhance machine learning models by providing comprehensive insights into consumer behavior and preferences related to Valentine's Day jewelry purchases. This dataset is particularly valuable for businesses aiming to understand and predict market trends, optimize inventory, and tailor marketing strategies during the Valentine's Day season. Key Features and Functionality: - Comprehensive Data Collection: The dataset encompasses a wide range of variables, including purchase histories, customer demographics, product preferences, and seasonal trends specific to Valentine's Day jewelry. - High-Quality Data: Curated to ensure accuracy and relevance, the dataset provides reliable information for training and validating machine learning models. - Scalability: Designed to support various analytical needs, from small-scale studies to large-scale enterprise applications. Primary Value and Problem Solved: By leveraging Propensity US: Valentine's Day Jewelry, businesses can gain actionable insights into consumer purchasing patterns during the Valentine's Day period. This enables more effective demand forecasting, personalized marketing campaigns, and improved customer engagement, ultimately leading to increased sales and customer satisfaction.

#### Who Is the Company Behind Propensity US: Valentine's Day Jewelry?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Propensity US: Walmart Clothing Shopper](https://www.g2.com/products/propensity-us-walmart-clothing-shopper/reviews)

Propensity US: Walmart Clothing Shopper is a specialized predictive model developed by Prosper Model Factory, designed to analyze and forecast the purchasing behaviors of Walmart's apparel customers. Leveraging Prosper's extensive consumer data, this model offers deep insights into the preferences, motivations, and future spending intentions of individuals shopping for clothing at Walmart. Key Features and Functionality: - Comprehensive Consumer Data: Utilizes over 3,000 data elements collected monthly since 2002, encompassing demographics, shopping behaviors, economic attitudes, and psychographic insights. - Predictive Analytics: Employs advanced machine learning algorithms to predict future purchasing patterns and spending intentions of Walmart clothing shoppers. - Privacy Compliance: Ensures data collection and analysis adhere to GDPR, California Consumer Privacy Act, and other consumer privacy regulations. - Executive Insight Packages: Provides easy-to-use reports and dynamic widgets for automated provisioning and distribution of insights, reducing the need for extensive client resources. Primary Value and Solutions Provided: Propensity US: Walmart Clothing Shopper empowers retailers, marketers, and analysts with actionable insights into the behaviors and preferences of Walmart's apparel customers. By understanding the 'why' behind consumer choices and predicting future spending intentions, businesses can: - Enhance Marketing Strategies: Tailor campaigns to align with consumer motivations and preferences, increasing engagement and conversion rates. - Optimize Inventory Management: Forecast demand more accurately, reducing stockouts and overstock situations. - Improve Customer Experience: Develop personalized shopping experiences that resonate with target audiences, fostering loyalty and repeat business. In essence, this model serves as a vital tool for businesses aiming to deepen their understanding of Walmart clothing shoppers, enabling data-driven decisions that drive growth and customer satisfaction.

#### Who Is the Company Behind Propensity US: Walmart Clothing Shopper?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Propensity US: Walmart for Electronics](https://www.g2.com/products/propensity-us-walmart-for-electronics/reviews)

Propensity US: Walmart for Electronics is a data-driven solution designed to help brands and marketers identify and target consumers with a high likelihood of purchasing electronics from Walmart. By leveraging Prosper Insights & Analytics' extensive consumer survey data, this tool enables precise audience segmentation and enhances the effectiveness of digital marketing campaigns. Key Features and Functionality: - Consumer Propensity Models: Utilizes advanced models to predict consumer behavior, focusing on individuals inclined to buy electronics at Walmart. - Data-Driven Insights: Built upon Prosper's comprehensive monthly consumer surveys, offering factual and privacy-compliant data for accurate targeting. - Digital Targeting Enhancement: Provides brands with the ability to control audience activation and improve their own data through a virtual clean room environment. - Transparency and Performance Metrics: Offers Lift over Random metrics for each model, ensuring transparency and allowing brands to assess performance before activation. Primary Value and User Solutions: Propensity US: Walmart for Electronics addresses the challenge of effectively reaching potential electronics buyers at Walmart. By offering precise consumer propensity models, it enables brands to: - Optimize Marketing Efforts: Focus resources on high-potential customers, increasing campaign efficiency and return on investment. - Enhance Personalization: Deliver tailored messages to consumers based on their likelihood to purchase, improving engagement and conversion rates. - Maintain Data Privacy Compliance: Utilize privacy-compliant data, ensuring adherence to regulations while accessing valuable consumer insights. This solution empowers brands to make informed decisions, refine their marketing strategies, and achieve better outcomes in targeting Walmart electronics shoppers.

#### Who Is the Company Behind Propensity US: Walmart for Electronics?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Prosimo AXI](https://www.g2.com/products/prosimo-axi/reviews)

Prosimo Application eXperience Infrastructure (AXI) makes infrastructure transparent, delivers the desired level of application experience and ensures contextual secure access to users. This is done using data-driven insights powered by AI and ML on top of a multi-cloud and cloud-native infrastructure.

#### Who Is the Company Behind Prosimo AXI?

- **Seller:** [Prosimo](https://www.g2.com/sellers/prosimo)
- **Year Founded:** 2006
- **HQ Location:** Duvall, Washington, United States
- **Twitter:** @Prosimo\_io  
252 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=aa48f382e161b6344f4470be7a06f5f6d0b232235f6334b0807f276b4256298b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services&secure%5Burl_type%5D=linkedin_company_website)  
143,584 employees on LinkedIn®

### [Prosper Model Factory](https://www.g2.com/products/prosper-model-factory/reviews)

Prosper Model Factory is a platform designed to automate and simplify the creation of predictive analytic models for marketing and market forecasting. Leveraging Prosper's extensive dataset on consumer attitudes, behaviors, and future intentions, the platform enables rapid development and delivery of propensity models tailored for U.S. consumer marketing applications. These models enhance the efficiency and effectiveness of both digital and traditional marketing campaigns while adhering to strict legal and ethical privacy standards. Key Features and Functionality: - Rapid Model Development: Automates the creation of propensity models, reducing the time and resources required for development. - Extensive Consumer Data: Utilizes a comprehensive dataset rich in consumer attitudes, behaviors, and future intentions, providing a deep understanding of the target audience. - Privacy Compliance: Ensures all models are developed in compliance with legal and ethical privacy norms, safeguarding consumer information. - Scalability Across Retail Media Networks: Addresses the fragmentation in Retail Media Networks by offering nearly 200 pre-built retail and consumer models, enabling brands to scale digital campaigns effectively. Primary Value and User Solutions: Prosper Model Factory empowers marketers and data scientists to develop accurate, privacy-compliant predictive models without relying on cookies or personally identifiable information . By integrating Prosper's unique consumer data with their own first-party data, users can create bespoke models that enhance targeting precision and campaign effectiveness. This capability is particularly valuable in the evolving digital privacy landscape, where traditional data collection methods are becoming less viable. Additionally, the platform's extensive library of pre-built models allows for rapid deployment, enabling businesses to quickly adapt to market changes and consumer trends. By providing a centralized source for high-quality, privacy-compliant consumer models, Prosper Model Factory helps brands overcome the challenges of data fragmentation and scalability in the current marketing environment.

#### Who Is the Company Behind Prosper Model Factory?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Prosper Propensity: Enjoy Snow Skiing](https://www.g2.com/products/prosper-propensity-enjoy-snow-skiing/reviews)

Prosper Propensity: Enjoy Snow Skiing is a data product designed to help businesses identify and target consumers with a high likelihood of participating in snow skiing activities. By leveraging advanced analytics, this tool enables companies to tailor their marketing strategies and product offerings to a specific audience interested in snow skiing. Key Features and Functionality: - Consumer Propensity Scoring: Assigns scores to individuals based on their likelihood to enjoy snow skiing, facilitating targeted marketing efforts. - Data Integration: Seamlessly integrates with existing customer databases and marketing platforms for enhanced data analysis. - Customizable Segmentation: Allows businesses to create specific consumer segments based on skiing propensity scores. - Predictive Analytics: Utilizes predictive modeling to forecast consumer behavior related to snow skiing activities. Primary Value and Problem Solved: Prosper Propensity: Enjoy Snow Skiing empowers businesses to efficiently identify and engage with potential customers who have a high interest in snow skiing. This targeted approach enhances marketing effectiveness, increases customer acquisition rates, and optimizes resource allocation by focusing efforts on the most promising leads. Ultimately, it helps companies maximize their return on investment by connecting with the right audience for their snow skiing-related products and services.

#### Who Is the Company Behind Prosper Propensity: Enjoy Snow Skiing?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Prosper Propensity\*: Fashion Conscious](https://www.g2.com/products/prosper-propensity-fashion-conscious/reviews)

Propensity model that determines the probability that a US consumer is fashion conscious.

#### Who Is the Company Behind Prosper Propensity\*: Fashion Conscious?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Prosper Propensity: Play Team Sports](https://www.g2.com/products/prosper-propensity-play-team-sports/reviews)

Prosper Propensity: Play Team Sports is a data product designed to help businesses identify and target individuals who are likely to participate in team sports. By leveraging this propensity model, companies can enhance their marketing strategies, tailor their offerings, and effectively engage with a specific consumer segment interested in team sports activities. Key Features and Functionality: - Data-Driven Insights: Utilizes comprehensive data analysis to predict consumer behavior related to team sports participation. - Targeted Marketing: Enables businesses to focus their marketing efforts on individuals with a high likelihood of engaging in team sports, improving campaign efficiency. - Customizable Integration: Can be integrated into existing marketing platforms and strategies to enhance audience segmentation and personalization. Primary Value and User Solutions: The primary value of Prosper Propensity: Play Team Sports lies in its ability to provide businesses with actionable insights into consumer behaviors, specifically regarding team sports participation. This allows companies to: - Optimize Marketing Campaigns: By targeting a defined audience, businesses can increase engagement rates and return on investment. - Develop Relevant Products and Services: Understanding consumer interests enables the creation of offerings that resonate with the target market. - Enhance Customer Engagement: Tailored communications and promotions foster stronger relationships with consumers interested in team sports. By implementing this propensity model, businesses can make informed decisions, allocate resources more effectively, and achieve better outcomes in their marketing and product development initiatives.

#### Who Is the Company Behind Prosper Propensity: Play Team Sports?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

### [Prosper Propensity: Use Uber Regularly](https://www.g2.com/products/prosper-propensity-use-uber-regularly/reviews)

Prosper Propensity: Use Uber Regularly is a predictive analytics model designed to identify individuals who are likely to use Uber services frequently. By analyzing consumer behavior and preferences, this model enables businesses to target and engage potential Uber users more effectively. Key Features and Functionality: - Predictive Modeling: Utilizes advanced algorithms to assess and predict the likelihood of individuals using Uber regularly. - Consumer Behavior Analysis: Analyzes patterns and trends in consumer behavior to identify potential Uber users. - Targeted Marketing: Provides insights that allow businesses to tailor marketing strategies towards individuals with a high propensity to use Uber. Primary Value and User Solutions: This model offers significant value to businesses aiming to enhance their customer acquisition and retention strategies. By accurately identifying potential Uber users, companies can optimize their marketing efforts, allocate resources more efficiently, and improve overall engagement with their target audience. This leads to increased conversion rates and a better understanding of consumer preferences, ultimately driving business growth.

#### Who Is the Company Behind Prosper Propensity: Use Uber Regularly?

- **Seller:** [Prosper Insights & Analytics](https://www.g2.com/sellers/prosper-insights-analytics-042cdd67-dedf-434c-9df3-b21442cc9558)
- **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®

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

Protegrity helps enterprises make sensitive data safe to use in AI, analytics, and modern data workflows. Our data security platform protects data at the field level, centralizes policy and governance, and enforces controls across on-prem, cloud, SaaS, and AI systems. Protegrity offers editions (AI Developer Edition, AI Team Edition, AI Enterprise Edition) that support each stage of AI maturity, from early experimentation to governed, enterprise-scale deployment, all built on the same data-centric security foundation. Capabilities include discovery, classification, policy orchestration, tokenization, masking, encryption, anonymization, synthetic data, semantic guardrails, and secure text-to-analytics. Protegrity is built to help teams use data with confidence while maintaining control, compliance, and auditability.

**Average Rating:** 4.5/5.0

**Total Reviews:** 14

#### How Do G2 Users Rate Protegrity?

- **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.7/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.5/10)
- **Ease of Admin:** 9.2/10 (Category avg: 8.6/10)
- **Ease of Use:** 8.9/10 (Category avg: 8.7/10)

#### Who Is the Company Behind Protegrity?

- **Seller:** [Protegrity](https://www.g2.com/sellers/protegrity)
- **Year Founded:** 1996
- **HQ Location:** Stamford, US
- **Twitter:** @Protegrity  
4,460 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=08aef0d4cad0694b95c7f741f27705a3a54bdf6641202413aadf509c164f5782&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F15741&secure%5Burl_type%5D=linkedin_company_website)  
381 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 43% Medium, 29% Large

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

**["Good tool for all uses"](https://www.g2.com/survey_responses/protegrity-review-6943427)**

**Rating:** 5.0/5.0 stars

_— Péter G._

[Read full review](https://www.g2.com/survey_responses/protegrity-review-6943427)

**["Data Security"](https://www.g2.com/survey_responses/protegrity-review-7956211)**

**Rating:** 5.0/5.0 stars

_— Gaurav S._

[Read full review](https://www.g2.com/survey_responses/protegrity-review-7956211)

#### What Are G2 Users Discussing About Protegrity?

- [What is Protegrity used for?](https://www.g2.com/discussions/what-is-protegrity-used-for)

### [ProudNet1 - Windows Server 2019](https://www.g2.com/products/proudnet1-windows-server-2019/reviews)

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.

#### Who Is the Company Behind ProudNet1 - Windows Server 2019?

- **Seller:** [Nettention](https://www.g2.com/sellers/nettention-51337c44-ae0e-491c-b5fc-54dcaa1bada5)
- **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®

### [ProximaX Sirius Chain](https://www.g2.com/products/proximax-sirius-chain/reviews)

ProximaX Sirius Chain is an advanced blockchain platform designed to support private, public, hybrid, and consortium networks. It enables the development of highly scalable and reliable blockchain solutions that ensure data immutability and confidentiality. Key Features and Functionality: - Enterprise-Ready Blockchain: Sirius Chain serves as the core of the ProximaX Sirius platform, recording, timestamping, and managing transactions across various services, including peer-to-peer storage, streaming, database, and Supercontract layers. - Efficient Integration: The platform offers API layers and SDKs that simplify the development and integration process, making it quick and cost-effective for users to build and deploy applications. - Advanced Features: Sirius Chain introduces enhancements over traditional blockchain networks, such as multi-level and multi-signatory capabilities, making it ideal for enterprise use. It also supports interoperability with other blockchain networks and allows users to create and customize their own tokens. Primary Value and Solutions Provided: Sirius Chain addresses the limitations of conventional blockchain platforms by offering a comprehensive, enterprise-ready solution that combines blockchain with distributed storage, streaming, and database services. This integration provides a secure, flexible, and scalable infrastructure for developing applications that require data integrity, confidentiality, and high performance. By leveraging Sirius Chain, businesses can build resilient solutions capable of supporting complex operations while ensuring security and reliability.

#### Who Is the Company Behind ProximaX Sirius Chain?

- **Seller:** [ProximaX](https://www.g2.com/sellers/proximax)
- **Year Founded:** 2018
- **HQ Location:** Singapore, SG
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=30ca0755eed8f798f78f73a140fdeff97ad062e803d8c5c381b0b67b2f791b1f&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fproximaxio&secure%5Burl_type%5D=linkedin_company_website)  
35 employees on LinkedIn®

### [Proxy Server - Squid Proxy Server Cache on CentOS 8.3 Server](https://www.g2.com/products/proxy-server-squid-proxy-server-cache-on-centos-8-3-server/reviews)

Squid is a caching proxy for the Web supporting HTTP, HTTPS, FTP, and more. It reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator.

#### Who Is the Company Behind Proxy Server - Squid Proxy Server Cache on CentOS 8.3 Server?

- **Seller:** [Cloud Infrastructure Services](https://www.g2.com/sellers/cloud-infrastructure-services-096ef9d7-f3ea-4ec5-90e3-0e1caf14b2d5)
- **Year Founded:** 2014
- **HQ Location:** London, GB
- **Twitter:** @networkangelapp  
318 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=11a84386ea28445b244494851373c022737e0a4d0b49cd819cd39b66bcc4c66d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcloud-infrastructure-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

- [‹ Prev‹ Prev](/categories/aws-marketplace?order=popular&page=131#product-list)
- [1](/categories/aws-marketplace?order=popular#product-list)
- [2](/categories/aws-marketplace?order=popular&page=2#product-list)
- …
- [128](/categories/aws-marketplace?order=popular&page=128#product-list)
- [129](/categories/aws-marketplace?order=popular&page=129#product-list)
- [130](/categories/aws-marketplace?order=popular&page=130#product-list)
- [131](/categories/aws-marketplace?order=popular&page=131#product-list)
- 132
- [133](/categories/aws-marketplace?order=popular&page=133#product-list)
- [134](/categories/aws-marketplace?order=popular&page=134#product-list)
- [135](/categories/aws-marketplace?order=popular&page=135#product-list)
- [136](/categories/aws-marketplace?order=popular&page=136#product-list)
- …
- [169](/categories/aws-marketplace?order=popular&page=169#product-list)
- [170](/categories/aws-marketplace?order=popular&page=170#product-list)
- [Next ›Next ›](/categories/aws-marketplace?order=popular&page=133#product-list)

Spotlight Categories

[Digital Experience Platforms (DXP)](https://www.g2.com/categories/digital-experience-platforms-dxp)

[Zero Trust Networking Software](https://www.g2.com/categories/zero-trust-networking)

[SMS Marketing Software](https://www.g2.com/categories/sms-marketing)

[Revenue Operations & Intelligence (RO&I) Software](https://www.g2.com/categories/revenue-operations-intelligence-ro-i)

[ERP Systems](https://www.g2.com/categories/erp-systems)

Similar Categories

- [ADP Marketplace Apps](/categories/adp-marketplace-apps)
- [Autodesk Construction Cloud Integration Partners](/categories/autodesk-construction-cloud-integration-partners)
- [Genesys AppFoundry Marketplace](/categories/genesys-appfoundry-marketplace)
- [Google Workspace Academic](/categories/google-workspace-academic)
- [Google Workspace Administration](/categories/google-workspace-administration)

- [Google Workspace Business Tools](/categories/google-workspace-business-tools)
- [Google Workspace Communication Tools](/categories/google-workspace-communication-tools)
- [Google Workspace Creative Tools](/categories/google-workspace-creative-tools)
- [Google Workspace Development Tools](/categories/google-workspace-development-tools)
- [Google Workspace Education](/categories/google-workspace-education)

- [Google Workspace ERP](/categories/google-workspace-erp)
- [Google Workspace for Finance](/categories/google-workspace-for-finance)
- [Google Workspace for HR](/categories/google-workspace-for-hr)
- [Google Workspace for Marketing](/categories/google-workspace-for-marketing)
- [Google Workspace for Sales](/categories/google-workspace-for-sales)

[Browse AWS Marketplace Themes](/categories/aws-marketplace/themes)

 ![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

Show More