Best AWS Marketplace Software - Page 18

How Many AWS Marketplace Software Products Does G2 Track?

Total Products under this Category: 2,487

Category Stats (Sep 2026)

  • Average Rating: 4.39/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Parallel Task API (+2.42%) - Among all products in this category, Parallel Task API recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank AWS Marketplace Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 30,200+ Authentic Reviews
  • 2,487+ 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.

Deep Learning AMI (Amazon Linux 2) Version 41.0 with Support by Bansir

State of the art ID Card Digitization Use Nanonets OCR to • Improve customer onboarding experiences • Reduce fraud • Reduce manual verification costs

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate Deep Learning AMI (Amazon Linux 2) Version 41.0 with Support by Bansir?

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

Who Is the Company Behind Deep Learning AMI (Amazon Linux 2) Version 41.0 with Support by Bansir?

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Deep Learning AMI (Amazon Linux 2) Version 41.0 with Support by Bansir?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the feature variety of Deep Learning AMI, benefiting from diverse frameworks and helpful tutorials.
  • Users appreciate the comprehensive tutorials and popular frameworks included in Deep Learning AMI, enhancing their learning experience.
Cons
  • Users find the high knowledge experience requirement of Python a barrier for those with basic programming skills.
  • Users note the high expertise requirement in Python, making it challenging for those with basic programming skills.

What Are Recent G2 Reviews of Deep Learning AMI (Amazon Linux 2) Version 41.0 with Support by Bansir?

DenseNet 161

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. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

Average Rating: 3.3/5.0

Total Reviews: 2

How Do G2 Users Rate DenseNet 161?

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

Who Is the Company Behind DenseNet 161?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

DNS Server Windows 2019

The DNS Server on Microsoft Windows Server 2019 Datacenter is a robust, enterprise-grade solution that forms the critical foundation of your organization's network infrastructure. This powerful tool translates domain names into IP addresses, enabling seamless communication between devices and services across your network and the internet. Designed for high performance and scalability, it is optimized to handle the demands of large-scale enterprises, processing millions of DNS queries per second without compromising speed or reliability. Key Features and Functionality: - High Performance and Scalability: Capable of processing millions of DNS queries per second, ensuring rapid response times even in high-traffic environments. - DNS Security Extensions : Provides critical protection against DNS spoofing and cache poisoning attacks, enhancing overall network security. - Granular DNS Policies: Allows administrators to control query responses based on various criteria, enhancing security and network management. - IPv6 Root Hints: Supports IPv6, ensuring compatibility with modern networking standards. - Response Rate Limiting : Mitigates the risk of DDoS attacks by limiting the rate of responses to specific queries. - DNS-Based Authentication of Named Entities : Enhances security by allowing the binding of certificates to domain names, preventing man-in-the-middle attacks. - Extended Windows PowerShell Support: Offers a suite of management and automation tools that streamline administration, reducing manual workload and the potential for human error. Primary Value and User Solutions: This DNS Server delivers the power, control, and efficiency required to keep networks running smoothly and securely. By providing high performance, scalability, and advanced security features, it ensures rapid and secure DNS resolution, which is essential for the seamless operation of modern network infrastructures. The inclusion of DNSSEC and DANE enhances security, protecting against various attacks and ensuring data integrity. Granular DNS policies and extended PowerShell support offer administrators precise control and efficient management capabilities, reducing operational complexity and enhancing overall network reliability.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate DNS Server Windows 2019?

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

Who Is the Company Behind DNS Server Windows 2019?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of DNS Server Windows 2019?

Docker Host for Amazon Linux 2

Docker installed on the updated version of OS with latest patches applied.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Docker Host for Amazon Linux 2?

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

Who Is the Company Behind Docker Host for Amazon Linux 2?

  • Seller: Kurian
  • HQ Location: N/A
  • Twitter: @DevOpsCompany
    5 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Docker Host for Amazon Linux 2?

What Are G2 Users Discussing About Docker Host for Amazon Linux 2?

Drupal on Windows Server 2019

Drupal 9.1.0 on Windows Server 2019. Cognosys is providing this image as pre hardened and pre-configured for enterprise use.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Drupal on Windows Server 2019?

  • 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 Drupal on Windows Server 2019?

Who Uses This Product?

  • Company Size: 50% Small, 50% Large

What Are Recent G2 Reviews of Drupal on Windows Server 2019?

ELK Kubernetes Container Solution Stack

Apache Superset is an open-source data exploration and visualization platform designed to handle data at scale. It enables users to create interactive dashboards and perform complex data analyses with ease. Superset supports a wide range of data sources and integrates seamlessly with various databases, making it a versatile tool for data professionals. Key Features and Functionality: - Interactive Dashboards: Build and customize dashboards with a variety of visualization options to represent data effectively. - SQL IDE: Utilize a rich SQL editor with syntax highlighting and autocomplete features for efficient query writing. - Extensive Database Support: Connect to numerous databases, including relational and non-relational systems, through a robust connector framework. - Security and Authentication: Implement granular access control and integrate with various authentication backends to ensure data security. - Scalability: Designed to scale out to large, distributed environments, accommodating the needs of growing organizations. Primary Value and User Solutions: Apache Superset empowers organizations to make data-driven decisions by providing an intuitive platform for data visualization and exploration. It addresses the need for a scalable and flexible tool that can integrate with diverse data sources, allowing users to derive insights without extensive technical expertise. By offering a user-friendly interface and powerful features, Superset enhances productivity and facilitates a deeper understanding of complex datasets.

Average Rating: 4.3/5.0

Total Reviews: 2

How Do G2 Users Rate ELK Kubernetes Container Solution Stack?

  • Quality of Support: 6.7/10 (Category avg: 8.5/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind ELK Kubernetes Container Solution Stack?

Who Uses This Product?

  • Company Size: 150% Medium, 50% Large

What Do G2 Reviewers Say About ELK Kubernetes Container Solution Stack?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the real-time data visualization capabilities of ELK Kubernetes Container Solution Stack for effective analysis.
  • Users find the ease of use of the ELK Kubernetes Container Solution Stack to be highly beneficial for data handling.
  • Users praise the real-time data processing capability of ELK Kubernetes Container Solution Stack for efficient analysis and visualization.
Cons
  • Users find the learning curve steep, particularly for those new to the underlying architecture.

What Are Recent G2 Reviews of ELK Kubernetes Container Solution Stack?

Envoi - SafeStream Edition

Envoi - SafeStream Edition is a cloud-based video distribution platform designed to provide content owners with a secure and efficient method for managing, transforming, localizing, distributing, and monetizing their media assets. Tailored for seamless integration with Amazon Web Services (AWS), it offers a comprehensive suite of tools to streamline workflows and ensure content protection. Key Features and Functionality: - Data Protection: Implements high-level encryption to safeguard content against unauthorized access. - Enterprise File Sharing: Facilitates secure sharing of large media files within organizations. - Media Transformation: Supports various media formats and resolutions, enabling efficient content adaptation. - Localization: Provides tools for translating and adapting content to different languages and regions. - Distribution: Ensures reliable delivery of content to over-the-top (OTT and electronic sell-through (EST platforms. - Monetization: Offers features to manage and optimize revenue streams from distributed content. Primary Value and User Solutions: Envoi - SafeStream Edition addresses the critical need for secure and efficient video content distribution. By integrating advanced encryption and customizable security settings, it ensures that sensitive media remains protected throughout the distribution process. The platform's user-friendly interface simplifies complex workflows, allowing content creators and distributors to manage their assets effectively. This combination of security and usability provides peace of mind and operational efficiency for users handling large volumes of media content.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Envoi - SafeStream Edition?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Quality of Support: 9.2/10 (Category avg: 8.5/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.6/10)
  • Ease of Use: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind Envoi - SafeStream Edition?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Envoi - SafeStream Edition?

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
  • Twitter: @F5Networks
    1,385 Twitter followers
  • 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
  • Twitter: @falkonry
    412 Twitter followers
  • 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
  • Twitter: @falkonry
    412 Twitter followers
  • 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?

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% Small, 50% Large

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?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

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?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

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?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    147,094 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

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?

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