Best AWS Marketplace Software - Page 24

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.

AuditSSH

AuditSSH is an application developed for Linux-based systems that aims to fill the trusted external access gap by acting as a secure and monitored gateway that maintainers can use to gain access to the requested systems without compromising their integrity.

Average Rating: 3.5/5.0

Total Reviews: 1

How Do G2 Users Rate AuditSSH?

  • 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 AuditSSH?

Who Uses This Product?

  • Company Size: 100% Medium

AutoSpotting

AutoSpotting allows you to safely and reliably cut your AWS EC2 costs by up to 90% (usually 50-80%) without long term commitments or upfront payments, by replacing EC2 instances in autoscaling groups with identically configured Spot instances. It installs in minutes using CloudFormation and Terraform, and can be configured using tags and even taking over all the groups from your account, without requiring launch template or launch configuration changes, and without causing IaC drift. For maximum compatibility, it supports most applications backed by on-demand autoscaling groups, including for AWS services such as Beanstalk, EKS and ECS that use ASGs under the hood. The main requirement is for the instances to be replaceable without noticeable impact to your users, which is usually the case for autoscaling groups out of the box. For maximum security, privacy and reduced runtime costs it is a fully self-hosted, serverless, pay as you go software that runs entirely in your account with minimalist IAM permissions. Once enabled on your on-demand ASGs by tagging them(you can use any tool for tagging, but we also have a GUI to make it easier and reduce the chance of human errors), it gradually replaces their instances with diversified Spot instances. Under the hood we use attach API calls, then terminate the initial instances, leaving you with up to 90% cheaper but identically configured Spot instances. To minimize capacity churn as much as possible, any new instances are also replaced with the same approach within seconds of being launched, and we use a capacity optimized allocation strategy that gives us instances with lower probability of interruption. To ensure you always get the capacity you need for your application, Spot instances are launched with widest possible diversification, and we also have failover to on-demand instances with the same level of diversification we use for Spot instances. This makes the groups managed by AutoSpotting more resilient to Insufficient Capacity Events that may occasionally impact OnDemand ASGs usually configured with a single instance type. For increased performance and reduced carbon emissions, it always provisions the newest available instance types.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate AutoSpotting?

  • 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 AutoSpotting?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of AutoSpotting?

AWS Glue Connector for Apache Hudi

The AWS Glue Connector for Apache Hudi simplifies the process to create and update Apache Hudi tables from AWS Glue. This connector can be used for both Copy on Write (COW) and Merge on Read (MOR) storage types.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate AWS Glue Connector for Apache Hudi?

  • Quality of Support: 5.0/10 (Category avg: 8.5/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind AWS Glue Connector for Apache Hudi?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of AWS Glue Connector for Apache Hudi?

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AWS Overall Assessment

Use over 10 years combined AWS experience to evaluate your AWS environment. We'll perform a short assessment and generate a report. Assessments use a combination of automated tooling and manual inspection by our expert team.

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate AWS Overall Assessment?

  • Has the product been a good partner in doing business?: 6.7/10 (Category avg: 8.7/10)
  • Quality of Support: 6.7/10 (Category avg: 8.5/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.6/10)
  • Ease of Use: 5.0/10 (Category avg: 8.7/10)

Who Is the Company Behind AWS Overall Assessment?

Who Uses This Product?

  • Company Size: 100% Medium

Aws S3 Zipper V2

Aws S3 Zipper V2 is a micro-service designed to efficiently compress and archive files stored in Amazon S3 buckets. By leveraging the Go programming language and the official AWS SDK for Go, it offers a fast, secure, and reliable solution for managing large-scale file compression tasks directly within the AWS environment. Key Features and Functionality: - Auto-HTTPS Enabled: Utilizes the Caddy web server to automatically enable HTTPS, ensuring secure connections without manual configuration. - Easy Updates with Docker: Supports seamless updates through Docker images, simplifying deployment and maintenance processes. - Streamlined File Compression: Allows users to zip entire buckets, folders, or individual files directly within S3, eliminating the need for downloading and re-uploading. - Efficient Resource Utilization: Performs compression tasks without requiring additional memory or disk space, making it cost-effective and reducing the need for extensive infrastructure. - Flexible Deployment Options: Available as an Amazon Machine Image (AMI) for both Linux and Windows servers, providing versatility in deployment. Primary Value and Problem Solved: Aws S3 Zipper V2 addresses the challenges associated with compressing and archiving large files in Amazon S3. Traditional methods often involve downloading files to local machines, compressing them, and then re-uploading them to S3—a process that is time-consuming, resource-intensive, and prone to errors. By enabling direct compression within the S3 environment, Aws S3 Zipper V2 streamlines workflows, enhances operational efficiency, and reduces costs associated with data transfer and storage. Its secure and scalable architecture ensures that users can manage their data effectively without compromising on performance or security.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Aws S3 Zipper V2?

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

Who Is the Company Behind Aws S3 Zipper V2?

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Aws S3 Zipper V2?

AWS Thinkbox Deadline

AWS Thinkbox Deadline is a hassle-free hybrid administration and compute management software.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate AWS Thinkbox Deadline?

  • Has the product been a good partner in doing business?: 8.3/10 (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: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind AWS Thinkbox Deadline?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of AWS Thinkbox Deadline?

AWX on Amazon Linux (Ansible Tower Open Source Alternative)

This image contains AWX, the Ansible Tower open-source alternative.Use it to quickly bootstrap your DevOps CI/CD infrastructure that is powered by Ansible.Take your Ansible playbooks to another level, by leveraging the power of AWX. Run your Ansible playbooks on schedule, or enable GitOps for your projects. You can also hook your instances to AWX on boot (user data) for configuration.Many use cases to supercharge your DevOps and CI/CD workflow.

Average Rating: 3.5/5.0

Total Reviews: 1

How Do G2 Users Rate AWX on Amazon Linux (Ansible Tower Open Source Alternative)?

  • Has the product been a good partner in doing business?: 5.0/10 (Category avg: 8.7/10)
  • Quality of Support: 10.0/10 (Category avg: 8.5/10)
  • Ease of Admin: 6.7/10 (Category avg: 8.6/10)
  • Ease of Use: 6.7/10 (Category avg: 8.7/10)

Who Is the Company Behind AWX on Amazon Linux (Ansible Tower Open Source Alternative)?

Who Uses This Product?

  • Company Size: 100% Small

BERT Base Multilingual Cased

This is a Text Classification model from TensorFlow Hub

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind BERT Base Multilingual Cased?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of BERT Base Multilingual Cased?

What Are G2 Users Discussing About BERT Base Multilingual Cased?

BERT Base Uncased

It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate BERT Base Uncased?

  • Quality of Support: 8.3/10 (Category avg: 8.5/10)
  • Ease of Use: 1.7/10 (Category avg: 8.7/10)

Who Is the Company Behind BERT Base Uncased?

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of BERT Base Uncased?

What Are G2 Users Discussing About BERT Base Uncased?

BERT Large Cased Whole Word Masking

It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Average Rating: 4.5/5.0

Total Reviews: 1

Who Is the Company Behind BERT Large Cased Whole Word Masking?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of BERT Large Cased Whole Word Masking?

What Are G2 Users Discussing About BERT Large Cased Whole Word Masking?

BERT Large Uncased Whole Word Masking SQuAD

This is a Extractive Question Answering model from PyTorch Hub

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate BERT Large Uncased Whole Word Masking SQuAD?

  • Has the product been a good partner in doing business?: 10.0/10 (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 BERT Large Uncased Whole Word Masking SQuAD?

Who Uses This Product?

  • Company Size: 100% Large

What Do G2 Reviewers Say About BERT Large Uncased Whole Word Masking SQuAD?

AI-generated summary from verified user reviews

Pros
  • Users highlight the rapid development speed of BERT Large Uncased, enhancing their workflow efficiency in QA tasks.
  • Users find BERT Large Uncased Whole Word Masking SQuAD to be incredibly easy to use for accurate query answering tasks.
  • Users praise the highly accurate query answering of BERT Large, enhancing both research and real-world applications.
  • Users value the high reliability of BERT Large Uncased for providing accurate answers in complex QA tasks.
  • Users admire the highly accurate query answering capabilities of BERT Large Uncased, enhancing their data-driven insights.
Cons
  • Users find the BERT Large Uncased model to be expensive due to its high computational demands and resource requirements.
  • Users note significant inaccuracy issues due to model limitations, affecting context and specific interpretations in responses.
  • Users face large data management challenges due to high computational demands and limitations in input handling.
  • Users report performance issues with BERT Large, citing slow response times and high computational requirements as significant drawbacks.
  • Users experience slow performance with BERT Large due to its computational demands and latency issues in real-time applications.

What Are Recent G2 Reviews of BERT Large Uncased Whole Word Masking SQuAD?

bitcoinpredict10

The model uses minute by minute tick data to forecasts the future 10-minute price for bitcoin. The model requires two weeks (20160 minutes of tick data) to forecasts the future price. The model uses five years of data, including periods that have seen significant increases and decreases in bitcoin price.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate bitcoinpredict10?

  • 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 bitcoinpredict10?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of bitcoinpredict10?

Blur ST

Blur ST is an enterprise search and discovery platform developed by Data Intelligence Technologies, Inc., designed to handle large-scale data environments. It enables organizations to efficiently search, analyze, and visualize vast amounts of data, facilitating informed decision-making and enhanced operational efficiency. Key Features and Functionality: - Comprehensive Data Search: Provides robust search capabilities across diverse data sources, ensuring quick and relevant results. - Advanced Data Analytics: Offers tools for in-depth analysis, allowing users to uncover patterns and insights within their data. - Data Visualization: Includes visualization features that present complex data in an understandable and actionable format. - Scalability: Designed to scale with organizational growth, accommodating increasing data volumes without compromising performance. Primary Value and Problem Solved: Blur ST addresses the challenge of managing and extracting value from large and complex datasets. By integrating search, analytics, and visualization into a single platform, it empowers users to make data-driven decisions efficiently. This integration reduces the time and resources spent on data management, enhances productivity, and supports strategic initiatives by providing clear insights from extensive data collections.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Blur ST?

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

Who Is the Company Behind Blur ST?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Blur ST?

Bounding Boxes for Machine Learning and Computer Vision Datasets

Data labeling services for bounding boxes in machine learning and computer vision datasets: draw a box around an area of interest and annotate it with a category from upto 10 categories.

Average Rating: 4.0/5.0

Total Reviews: 1

Who Is the Company Behind Bounding Boxes for Machine Learning and Computer Vision Datasets?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Bounding Boxes for Machine Learning and Computer Vision Datasets?

What Are G2 Users Discussing About Bounding Boxes for Machine Learning and Computer Vision Datasets?

C3 Agentic AI Platform

The C3 Agentic AI Platform is a comprehensive, model-driven software solution designed to streamline the development and deployment of enterprise-scale AI applications. By leveraging a rigorous approach, it enables businesses to select, configure, and implement AI applications within a six-month timeframe, thereby accelerating digital transformation and delivering measurable economic value. Key Features and Functionality: - Model-Driven Architecture: Simplifies the complexities associated with developing large-scale AI applications, facilitating faster delivery compared to traditional methods. - End-to-End Workflow-Enabled Applications: Offers pre-built applications like C3 AI Reliability and C3 AI Inventory Optimization, which address critical use cases such as predictive maintenance, inventory optimization, and energy management. - Data Integration: Seamlessly ingests and manages data from both internal and external sources to generate predictive insights. - Customization and Scalability: Allows rapid customization and deployment in production environments, ensuring adaptability to specific business needs. - AWS Optimization: Fully leverages AWS services, including Amazon EKS, RDS, Bedrock, and SageMaker, enhancing the accuracy and scalability of machine learning models. Primary Value and Problem Solved: The C3 Agentic AI Platform addresses the challenges of developing and deploying enterprise AI applications by providing a structured, efficient approach that reduces complexity and accelerates time-to-value. By integrating with existing data sources and utilizing advanced AI capabilities, it empowers organizations to make data-driven decisions, optimize operations, and achieve significant economic benefits. This solution is particularly valuable for businesses seeking to implement AI technologies without the extensive time and resource commitments typically associated with such initiatives.

Average Rating: 4.4/5.0

Total Reviews: 16

How Do G2 Users Rate C3 Agentic AI Platform?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.7/10)
  • Quality of Support: 8.9/10 (Category avg: 8.5/10)
  • Ease of Admin: 9.3/10 (Category avg: 8.6/10)
  • Ease of Use: 8.6/10 (Category avg: 8.7/10)

Who Is the Company Behind C3 Agentic AI Platform?

  • Seller: C3.ai
  • Year Founded: 2009
  • HQ Location: Redwood City, CA
  • LinkedIn® Page: www.linkedin.com
    1,049 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 53% Small, 26% Large

What Are Recent G2 Reviews of C3 Agentic AI Platform?

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