Best AWS Marketplace Software - Page 18

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.

F5 BIG-IP WAF AWS Deployment & Integration

Vandis engineers will work with your network and security teams to integrate F5 Network BIG-IP WAFs into your private network design on AWS. We will assist with the design and configuration of the VPC, subnets, DMZ, Security Groups, Route Tables, and EC2 Auto Scaling Groups as needed, and then deliver those in a detailed design and implementation document.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate F5 BIG-IP WAF AWS Deployment & Integration?

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

Who Is the Company Behind F5 BIG-IP WAF AWS Deployment & Integration?

  • Seller: F5
  • HQ Location: Seattle, Washington
  • LinkedIn® Page: www.linkedin.com
    6,247 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small

What Do G2 Reviewers Say About F5 BIG-IP WAF AWS Deployment & Integration?

AI-generated summary from verified user reviews

Pros
  • Users value the customizability of F5 BIG-IP WAF, enabling tailored security configurations for advanced threat protection.
  • Users value the configuration ease of F5 BIG-IP WAF, appreciating its straightforward setup for enhanced security.
  • Users value the granular policy customization of F5 BIG-IP WAF, enhancing security tailored to specific application threats.
  • Users appreciate the strong security and visibility provided by F5 BIG-IP WAF, ensuring reliable protection for applications.
  • Users value the quick setup of F5 BIG-IP WAF, making configuration straightforward and enhancing security effortlessly.
Cons
  • Users feel the GUI could be improved, impacting their experience with the F5 BIG-IP WAF AWS Deployment & Integration.

What Are Recent G2 Reviews of F5 BIG-IP WAF AWS Deployment & Integration?

What Are G2 Users Discussing About F5 BIG-IP WAF AWS Deployment & Integration?

Falkonry Clue

Falkonry Clue is an intelligent assistant which integrates digital decision-making into existing plant workflows. Clue provides a way to organize tacit knowledge into conditions that flexibly map analytics findings to actions such as work orders, notifications, and indicators. Clue continuously produces automated reports for important behavior based on signal values and interactive dashboards of these events over time to simplify understanding of the occurrence of important behavior. Simply put, Falkonry Clue will help you drive operational actions automatically from data based on patterns.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Falkonry Clue?

  • Quality of Support: 7.5/10 (Category avg: 8.5/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Falkonry Clue?

  • Seller: Falkonry
  • Year Founded: 2012
  • HQ Location: Cupertino, US
  • LinkedIn® Page: www.linkedin.com
    36 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Do G2 Reviewers Say About Falkonry Clue?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the expert guidance of Falkonry Clue, aiding in proactive problem prevention for plant operations.
  • Users appreciate having a data expert's guidance through Falkonry Clue, enhancing operational efficiency and preventing potential issues.
  • Users value the expert data guidance of Falkonry Clue, enabling proactive issue prevention and minimizing downtime.
  • Users value the detection capabilities of Falkonry Clue, helping to prevent operational issues before they escalate.
  • Users value the downtime reduction Falkonry Clue offers, effectively preventing issues before they escalate in operations.
Cons
  • Users find the data management cumbersome, as Clue lacks effective methods for incorporating external data sources.
  • Users find limited flexibility in Clue, struggling to incorporate data from external systems effectively.

What Are Recent G2 Reviews of Falkonry Clue?

Falkonry LRS

Falkonry LRS is a pre-packaged machine learning system that enables predictive operations. LRS allows users to review and manage all operational data in one place, offers powerful visualization and simplifies scaling of large predictive operation applications across the enterprise. Falkonry LRS analyzes multivariate time series data to discover patterns, predict critical events and explain behaviors that matter in your operations. Falkonry LRS is built for industrial practitioners such as manufacturing, process and quality engineers so that they can leverage machine learning (ML) without requiring the assistance of data scientists. Falkonry LRS is containerized and scalable for cloud and on-premise infrastructure. Offering air gapped deployment, it can be used for high security applications as well.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate Falkonry LRS?

  • 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 Falkonry LRS?

  • Seller: Falkonry
  • Year Founded: 2012
  • HQ Location: Cupertino, US
  • LinkedIn® Page: www.linkedin.com
    36 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Medium, 33% Small

What Do G2 Reviewers Say About Falkonry LRS?

AI-generated summary from verified user reviews

Pros
  • Users find the easy-to-use machine learning capabilities of Falkonry LRS beneficial for managing operational data independently.
  • Users value the data storage capabilities of Falkonry LRS, enabling efficient management and review of operational data.
  • Users value the ease of use of Falkonry LRS, streamlining machine learning for non-experts like process engineers.
  • Users find machine learning accessibility with Falkonry LRS valuable, enhancing operational data management without needing constant data scientist support.
Cons
  • Users find inaccuracy issues frustrating, particularly when distinguishing between normal fluctuations and true failures in complex data.
  • Users find the model limitations of Falkonry LRS hinder effective detection of complex anomalies in data.
  • Users find performance issues in Falkonry LRS, especially with detecting complex anomalies and differentiating data fluctuations.

What Are Recent G2 Reviews of Falkonry LRS?

What Are G2 Users Discussing About Falkonry LRS?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works
Connect G2 to ChatGPTConnect G2 to Claude

GitLab Server CE Community Edition on Ubuntu Server 20.04

Self-Hosted web-based DevOps lifecycle tool that includes Git repository management, issue tracking, CI/CD pipelines, code review, an IDE, activity streams, wikis, and more.

Average Rating: 4.0/5.0

Total Reviews: 2

Who Is the Company Behind GitLab Server CE Community Edition on Ubuntu Server 20.04?

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of GitLab Server CE Community Edition on Ubuntu Server 20.04?

GoogLeNet

This is an Image Classification model from PyTorch Hub. It takes an image as input and classifies the image to one of the 1000 classes.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate GoogLeNet?

  • Quality of Support: 10.0/10 (Category avg: 8.5/10)
  • Ease of Use: 7.5/10 (Category avg: 8.7/10)

Who Is the Company Behind GoogLeNet?

Who Uses This Product?

  • Company Size: 67% Large, 33% Medium

What Do G2 Reviewers Say About GoogLeNet?

AI-generated summary from verified user reviews

Pros
  • Users commend the high accuracy of GoogLeNet, significantly enhancing their performance in various tasks.

What Are Recent G2 Reviews of GoogLeNet?

What Are G2 Users Discussing About GoogLeNet?

Harper

HarperDB eliminates the complexity typically synonymous with distributed services by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology. When clustered and geo-distributed, HarperDB nodes instantly synchronize data to deliver a horizontally scalable service fabric, ensuring low-latency in-region responses for clients worldwide. In addition to massive cost savings at scale, HarperDB’s REST, GraphQL, and real-time interfaces make light work of servicing frontend requirements. Install and manage on your hardware, or have us host your services with HarperDB Cloud. For questions, reach us at hello@harperdb.io.

Average Rating: 4.8/5.0

Total Reviews: 4

How Do G2 Users Rate Harper?

  • 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: 10.0/10 (Category avg: 8.6/10)
  • Ease of Use: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind Harper?

  • Seller: HarperDB
  • Year Founded: 2017
  • HQ Location: Denver, US
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of Harper?

Inception ResNet V2

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Average Rating: 4.0/5.0

Total Reviews: 2

How Do G2 Users Rate Inception ResNet V2?

  • 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 Inception ResNet V2?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Inception ResNet V2?

Inception V2

This is a Image Classification model from TensorFlow Hub

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate Inception V2?

  • Quality of Support: 9.2/10 (Category avg: 8.5/10)
  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Inception V2?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Inception V2?

What Are G2 Users Discussing About Inception V2?

Java runtime with Tomcat7 (Amazon Linux)

Pre-configured, customizable, secure, one-click to deploy Java application with Tomcat on AWS. The Apache Tomcat® software is an open source implementation of the Java Servlet, JavaServer Pages, Java Expression Language and Java WebSocket technologies

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Java runtime with Tomcat7 (Amazon 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 Java runtime with Tomcat7 (Amazon Linux)?

  • Seller: Websoft9
  • Year Founded: 2016
  • HQ Location: 长沙市, CN
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Java runtime with Tomcat7 (Amazon Linux)?

Knowage CE 7

Knowage is the open source suite for business analytics that satisfies traditional requirements as well as innovative and challenging informative domains, combining traditional data and big data sources into valuable and meaningful information.

Average Rating: 3.5/5.0

Total Reviews: 2

How Do G2 Users Rate Knowage CE 7?

  • Quality of Support: 5.8/10 (Category avg: 8.5/10)
  • Ease of Use: 5.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Knowage CE 7?

Who Uses This Product?

  • Company Size: 100% Medium

LAMP Stack PHP5.6

The LAMP Stack with PHP 5.6, pre-configured by Miri Infotech Inc., is a comprehensive web development platform that integrates Linux, Apache, MySQL, and PHP. This solution is designed to facilitate the creation and deployment of dynamic web applications and websites. By offering a pre-configured stack, it simplifies the setup process, allowing developers to focus on building and managing their applications without the complexities of manual configuration. Key Features and Functionality: - Pre-Configured Stack: Includes Apache 2.4, MySQL, and PHP 5.6, eliminating the need for manual installation and configuration. - Optimized Performance: Tailored for web-specific tasks, ensuring efficient use of computing resources. - Customizability: Offers a highly customizable environment to meet specific development needs. - One-Click Deployment: Provides a streamlined, one-click solution for rapid deployment. Primary Value and Problem Solved: This LAMP Stack solution addresses the challenges associated with setting up a reliable and efficient web development environment. By offering a pre-configured and optimized stack, it reduces the time and effort required for setup, allowing developers to concentrate on application development. Its compatibility with various web frameworks and applications makes it a versatile choice for building dynamic websites and web applications.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate LAMP Stack PHP5.6?

  • Quality of Support: 6.7/10 (Category avg: 8.5/10)
  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind LAMP Stack PHP5.6?

  • 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 LAMP Stack PHP5.6?

LEMP stack

The LEMP Stack is a robust, open-source web application stack that combines Linux, Nginx, MySQL, and PHP to deliver high-performance web services. This stack is designed for developers and system administrators seeking an efficient and scalable environment for deploying dynamic websites and applications. By leveraging Nginx's event-driven architecture, the LEMP Stack ensures optimal resource utilization and faster load times, making it suitable for both small projects and large-scale enterprise applications. Key Features and Functionality: - Linux Operating System: Provides a stable and secure foundation for the stack. - Nginx Web Server: Offers high-performance handling of HTTP requests with efficient resource utilization. - MySQL Database Management: Manages relational databases effectively, supporting complex queries and transactions. - PHP Scripting Language: Processes dynamic content and integrates seamlessly with Nginx and MySQL. - Scalability: Easily scales to accommodate growing traffic and data demands. - Security: Incorporates secure configurations and supports regular updates to maintain a protected environment. Primary Value and User Solutions: The LEMP Stack addresses the need for a lightweight, efficient, and scalable web server environment. It enables developers to deploy and manage dynamic web applications with improved performance and reliability. By combining these open-source technologies, users benefit from a cost-effective solution that supports rapid development and deployment cycles, while ensuring secure and high-performing web services.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate LEMP stack?

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

Who Is the Company Behind LEMP stack?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of LEMP stack?

What Are G2 Users Discussing About LEMP stack?

LinceBI

An open source based solution. LinceBI allows you to Customize and Manage your BI Desktop ,Integrate Data, Design Dashboards and reports in a matter of minutes.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate LinceBI?

  • 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 LinceBI?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of LinceBI?

LoUPE

LoUPE is Storytelling Simplified, delivering the toolsets and features required for all aspects of production including: Asset Management, Production Management, Review & Collaboration, Render Management, and Real-time Reporting & Analytics. Your first 5 users will forever remain Indie regardless of how big you grow, and you pay only for what you use for compute, database, transcoding, data transfer and any additional storage you might need at publicly posted AWS rates. PLEASE NOTE: Unit prices are shown below at $0.01 per unit as a placeholder only. Actual billing will reflect the publicly available AWS price for this resource.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate LoUPE?

  • 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 LoUPE?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of LoUPE?

marbot for Microsoft Teams

marbot for Microsoft Teams is a chatbot designed to enhance AWS monitoring by integrating seamlessly with Microsoft Teams. It enables teams to configure monitoring, receive alerts, and manage incidents directly within their communication platform, ensuring that critical issues are promptly addressed without switching between tools. Key Features and Functionality: - Deep AWS Integration: marbot supports a wide range of AWS services, including CloudWatch, EC2, RDS, Lambda, and more, facilitating comprehensive monitoring across your AWS infrastructure. - Monitoring Assistant: The chatbot assists in setting up CloudWatch Alarms and EventBridge Rules, streamlining the monitoring configuration process. - Alerts via Microsoft Teams: Teams receive detailed alerts as direct or channel messages, providing relevant information to understand and resolve issues efficiently. - Contextual Help: marbot adds quick links to the AWS Management Console and attaches runbooks, offering structured procedures to respond to incidents effectively. - Minimize Distraction: To prevent alert fatigue, marbot groups similar events and escalates alerts to individual team members before notifying the entire team. - ChatOps: By integrating directly into Microsoft Teams, marbot enables teams to manage alerts and incidents without the need for additional tools. - Weekly Statistics: marbot provides weekly statistics and rewards team members for closing alerts, helping to optimize alert configurations and encourage proactive incident management. Primary Value and Problem Solved: marbot for Microsoft Teams addresses the challenge of efficiently monitoring AWS environments by delivering real-time, actionable alerts directly within Microsoft Teams. This integration ensures that teams can promptly respond to incidents, reducing downtime and maintaining system reliability. By automating monitoring configurations and providing contextual assistance, marbot enhances operational efficiency and fosters a proactive approach to incident management.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate marbot for Microsoft Teams?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Quality of Support: 7.5/10 (Category avg: 8.5/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.6/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind marbot for Microsoft Teams?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About marbot for Microsoft Teams?

AI-generated summary from verified user reviews

Pros
  • Users find marbot for Microsoft Teams to be extremely user-friendly, making it convenient to use globally.
  • Users find the flexibility of marbot for Teams convenient, enjoying its user-friendly access from any country.
Cons
  • Users find the navigation issues in Teams apps confusing and desire better support for discussions or chat.
  • Users find the user interface confusing at times, wishing for better support and communication options.

What Are Recent G2 Reviews of marbot for Microsoft Teams?

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