Best AWS Marketplace Software - Page 27

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.

CubeBackup Free Trial - Docker

CubeBackup Free Trial - Docker is a self-hosted backup solution designed to protect Google Workspace (formerly G Suite data by enabling organizations to securely back up their business information to private Amazon S3 storage or on-premises storage. This Docker-based deployment offers a flexible and efficient way to safeguard critical data, ensuring business continuity and compliance with data protection regulations. Key Features and Functionality: - Comprehensive Backup Coverage: CubeBackup supports the backup of essential Google Workspace components, including Google Drive, Shared Drives, Gmail, Contacts, Calendar, and Sites, ensuring all critical data is protected. - Unlimited Version Histories: The solution maintains unlimited version histories for both files and folders, allowing precise point-in-time restorations and facilitating efficient data recovery. - Automatic and Incremental Backups: CubeBackup performs hourly, automatic backups that run seamlessly in the background. Its incremental backup algorithms optimize disk space and bandwidth usage, enhancing overall efficiency. - Data Control and Security: By storing backup data on local storage or private AWS S3 buckets, organizations retain full control over their data. CubeBackup employs strong encryption methods, including AES and RSA for data at rest and TLS 1.2 for data in transit, ensuring robust security. - Compliance and Auditability: The solution is compliant with GDPR, CCPA, and other data protection regulations. It features an immutable audit log to track all operations, supporting transparency and accountability. Primary Value and Problem Solved: CubeBackup Free Trial - Docker addresses the critical need for organizations to have reliable, self-hosted backup solutions for their Google Workspace data. By enabling backups to private storage solutions, it ensures that businesses maintain control over their sensitive information, mitigating risks associated with data loss due to accidental deletions, ransomware attacks, or service outages. The solution's comprehensive backup coverage, versioning capabilities, and compliance features provide peace of mind, ensuring that data can be restored accurately and efficiently when needed.

Average Rating: 2.5/5.0

Total Reviews: 1

How Do G2 Users Rate CubeBackup Free Trial - Docker?

  • Has the product been a good partner in doing business?: 6.7/10 (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 CubeBackup Free Trial - Docker?

  • Seller: CubeBackup
  • Year Founded: 2012
  • HQ Location: Newark, US
  • Twitter: @cubebackup
    69 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

CyberArk Secure Cloud Access

CyberArk Secure Cloud Access provisions Zero Standing Privileges (ZSP) across multi-cloud environments, scoping just enough permissions to adhere to the principle of least privilege access. CyberArk is the only Identity Security Platform to apply ZSP across a sprawl of cloud infrastructure and entitlements. Whether operating in Google Cloud, AWS, or Azure, your team can confidently secure the cloud while delivering a user experience native to developers.

Average Rating: 4.9/5.0

Total Reviews: 6

How Do G2 Users Rate CyberArk Secure Cloud Access?

  • Has the product been a good partner in doing business?: 9.2/10 (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: 8.7/10 (Category avg: 8.7/10)

Who Is the Company Behind CyberArk Secure Cloud Access?

  • Seller: Palo Alto Networks
  • Year Founded: 2005
  • HQ Location: Santa Clara, CA
  • Twitter: @PaloAltoNtwks
    128,951 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    23,492 employees on LinkedIn®
  • Ownership: NYSE: PANW

Who Uses This Product?

  • Company Size: 67% Medium, 33% Large

What Do G2 Reviewers Say About CyberArk Secure Cloud Access?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of CyberArk Secure Cloud Access, enjoying seamless logins and a user-friendly interface.
  • Users value the user-friendly interface of CyberArk Secure Cloud Access for seamless app access and enhanced security.
  • Users value the seamless access through the Identity User Portal, eliminating repetitive logins across applications.
  • Users love the easy setup of CyberArk Secure Cloud Access, streamlining app access and enhancing security effortlessly.
  • Users appreciate the seamless access of CyberArk Secure Cloud Access, enjoying easy app login and mobile authentication.

What Are Recent G2 Reviews of CyberArk Secure Cloud Access?

CyberRegulator

Digital Edge's CyberRegulator is designed to implement and maintain an Information Security and Data Privacy Management System for your organization. The platform implements numerous modules that support compliance with the multiple requirements of existing and evolving standards and regulations.

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate CyberRegulator?

  • 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: 5.0/10 (Category avg: 8.7/10)

Who Is the Company Behind CyberRegulator?

Who Uses This Product?

  • Company Size: 100% Small

Data Labeling Services by Vivetic

Vivetic Group's Data Labeling Services provide comprehensive annotation solutions essential for training accurate and efficient machine learning models. With over 30 years of experience in business process outsourcing, Vivetic specializes in labeling diverse data types—including images, videos, text, and audio—across various industries such as e-commerce, retail, and agriculture. Their team of over 700 skilled annotators has successfully labeled over a billion data points, ensuring high-quality datasets that enhance the performance of AI applications. Key Features and Functionality: - Expertise Across Data Types: Proficient in annotating images, videos, text, and audio to meet diverse project requirements. - Scalable Solutions: Capable of handling projects of varying sizes, from startups to large enterprises, without compromising quality. - Integration with AWS Technologies: Seamlessly integrates with platforms like Amazon SageMaker to enhance model efficiency. - Security and Compliance: Operates from secure facilities adhering to certifications such as SOC2 Type 1, PCI DSS, ISO 9001, and ISO 18295, ensuring data confidentiality. Primary Value and Problem Solved: Vivetic's Data Labeling Services address the critical need for accurately annotated datasets in machine learning development. By providing precise and reliable data labeling, they enable organizations to improve the accuracy and functionality of their AI models, leading to better decision-making and operational efficiency. Their commitment to quality, scalability, and security ensures that clients receive tailored solutions that meet their specific needs, ultimately accelerating the deployment of effective AI applications.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate Data Labeling Services by Vivetic?

  • 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: 6.7/10 (Category avg: 8.6/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Data Labeling Services by Vivetic?

  • Seller: Vivetic
  • Year Founded: 1996
  • HQ Location: PARIS, FR
  • LinkedIn® Page: www.linkedin.com
    832 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Data Labeling Services by Vivetic?

DataMacaw Scarlet Platform

We combine powerful integration and intelligent resource management to give you high-performance AI model development, machine learning training and LLM fine-tuning at low running cost without the need to build or maintain your own GPU infrastructure.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate DataMacaw Scarlet Platform?

  • 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 DataMacaw Scarlet Platform?

  • Seller: DataMacaw
  • Year Founded: 2020
  • HQ Location: Mountain View, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium, 100% Small

What Do G2 Reviewers Say About DataMacaw Scarlet Platform?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of DataMacaw Scarlet Platform allows efficient and cost-effective AI model training.
  • Users value the cost-effective AI model building of DataMacaw Scarlet, optimizing GPU resource allocation for affordable training.
  • Users value the cost-effective GPU spot instances in DataMacaw Scarlet, enhancing their machine learning experimentation.
  • Users find the development speed of DataMacaw Scarlet Platform significantly enhances their AI model training efficiency and cost-effectiveness.
  • Users benefit from cost-effective GPU spot instances on the DataMacaw Scarlet Platform, enhancing their machine learning projects significantly.
Cons
  • Users find the lack of automation in DataMacaw Scarlet hinders collaboration and slows down their machine learning efforts.
  • Users find the missing features in DataMacaw, such as version control and live sharing, hinder team collaboration and productivity.
  • Users find data management issues with DataMacaw Scarlet, citing lack of version control and difficulty in managing dataset history.
  • Users find the lack of features like live project sharing hinders teamwork and slows the machine learning process.
  • Users find the large data management capabilities of DataMacaw Scarlet lacking, making version control difficult and inconvenient.

What Are Recent G2 Reviews of DataMacaw Scarlet Platform?

Debian 10 Buster Server + AWS CLI + Python

This product has charges associated with it, which includes AWS support. Debian 10 "buster" Server is suitable for many different use cases. Secure, Scalable & Faster.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Debian 10 Buster Server + AWS CLI + Python?

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

Who Is the Company Behind Debian 10 Buster Server + AWS CLI + Python?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Debian 10 Buster Server + AWS CLI + Python?

DeepInsights Semantic Triplet Generator

The DeepInsights Semantic Triplet Generator, developed by Mphasis, is a sophisticated tool designed to extract and generate semantic triplets from textual data. Semantic triplets are structured representations that capture the relationships between entities within a sentence, typically in the form of subject-predicate-object. By converting unstructured text into these structured formats, the tool facilitates deeper understanding and analysis of textual content, enabling more effective information retrieval and knowledge management. Key Features and Functionality: - Semantic Triplet Extraction: Automatically identifies and extracts subject-predicate-object relationships from text, transforming unstructured data into structured insights. - Integration with Enterprise Systems: Seamlessly integrates with existing enterprise systems through application programming interfaces (APIs, ensuring compatibility and ease of deployment. - Actionable Insights: Generates actionable insights from processed data, enabling the triggering of downstream workflows for manual actions or robotic process automation. - Customizable Deep Learning Models: Utilizes state-of-the-art transformer models that can be tailored to specific enterprise needs, enhancing the accuracy and relevance of extracted information. Primary Value and Problem Solved: The DeepInsights Semantic Triplet Generator addresses the challenge of deriving meaningful insights from vast amounts of unstructured text. By converting text into structured semantic triplets, it enables organizations to: - Enhance Data Comprehension: Facilitate a deeper understanding of textual content by revealing the underlying relationships between entities. - Improve Information Retrieval: Streamline the process of searching and retrieving relevant information by organizing data into a structured format. - Support Decision-Making: Provide actionable insights that inform strategic decisions and operational processes. In summary, the DeepInsights Semantic Triplet Generator empowers organizations to unlock the full potential of their textual data, transforming it into valuable knowledge that drives informed decision-making and operational efficiency.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate DeepInsights Semantic Triplet Generator?

  • 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 DeepInsights Semantic Triplet Generator?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • Twitter: @Stelligent
    1,106 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of DeepInsights Semantic Triplet Generator?

DeepInsights Text Comprehend

Text Comprehend is a Natural Language Understanding solution that help users comprehend a passage of text. This is a state-of-the-art context aware, factoid model with bi-directional attention for comprehension. A deep contextualized embedding is used for distributed word representation. The output of the model will be a sub-string of words of variable length from the context passage.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate DeepInsights Text Comprehend?

  • 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 DeepInsights Text Comprehend?

  • Seller: Mphasis
  • Year Founded: 2007
  • HQ Location: Reston, VA
  • Twitter: @Stelligent
    1,106 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

What Do G2 Reviewers Say About DeepInsights Text Comprehend?

AI-generated summary from verified user reviews

Pros
  • Users value the high performance of DeepInsights Text Comprehend for its speed and accuracy in information extraction.
  • Users value the plugin support of DeepInsights Text Comprehend, making integration and usability seamless across various applications.
  • Users value the accuracy and reliability of DeepInsights Text Comprehend for extracting meaningful information swiftly.
  • Users value the scalability of DeepInsights Text Comprehend, enabling them to manage growing data needs effectively.
Cons
  • Users find the complex coding of DeepInsights Text Comprehend makes it challenging to achieve accurate results.
  • Users find the costs quite high for processing large volumes of text, affecting overall value for money.
  • Users find the limited customization options in DeepInsights Text Comprehend restrict their ability to tailor the tool effectively.

What Are Recent G2 Reviews of DeepInsights Text Comprehend?

DFTWorks HPC-Materials

Quantum ESPRESSO is an open-source first-principles density functional theory materials modeling package and is based on the implementation scheme of plane waves and pseudopotentials.

Average Rating: 2.5/5.0

Total Reviews: 1

How Do G2 Users Rate DFTWorks HPC-Materials?

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

Who Is the Company Behind DFTWorks HPC-Materials?

  • Seller: DFTWorks
  • HQ Location: N/A
  • Twitter: @DEVentures
    290 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

DigiCaster

This product enables broadcasters to speed up the transition of over-the-air delivery to ATSC 3.0 next generation television services via cloud platform. Digicaster contains all necessary software components to enable IP data distribution on broadcast network adhering ATSC 3.0 standard. Digicaster take myraids of digital data including linear AV stream from encoders, electronic guides, apps, music.firmware etc. and bundles them into one studio-to-tranmitter link stream for synchronized delivery to multiple tranmitter sites.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate DigiCaster?

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

Who Is the Company Behind DigiCaster?

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of DigiCaster?

Dilution Prevention

Identify customers most likely to purchase discounted upgrades to travel in premium cabins leading to decrease in flight revenue.

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate Dilution Prevention?

  • 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 Dilution Prevention?

Who Uses This Product?

  • Company Size: 100% Medium

DistilBERT Base Uncased

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

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate DistilBERT Base Uncased?

  • 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 DistilBERT Base Uncased?

  • 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% Medium

What Do G2 Reviewers Say About DistilBERT Base Uncased?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the speed and efficiency of DistilBERT, enjoying its lightweight performance in NLP tasks.
  • Users appreciate the speed and lightweight performance of DistilBERT, enhancing efficiency in NLP tasks without heavy resource demands.

What Are Recent G2 Reviews of DistilBERT Base Uncased?

Docker Community Edition On Ubuntu 20 OneClick

Docker Community Edition On Ubuntu 20 OneClick

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Docker Community Edition On Ubuntu 20 OneClick?

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

Who Is the Company Behind Docker Community Edition On Ubuntu 20 OneClick?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Docker Community Edition On Ubuntu 20 OneClick?

Docker Community Engine on Ubuntu 20.04 LTS

Docker Community Engine on Ubuntu 20.04 LTS is a pre-configured Amazon Machine Image (AMI) designed to facilitate the deployment and management of containerized applications within the AWS Cloud. This solution integrates Docker's containerization capabilities with the stability and security of Ubuntu 20.04 LTS, providing developers and small teams with an efficient platform for building, shipping, and running applications in isolated environments. By leveraging this AMI, users can quickly set up a secure Docker environment, enabling rapid development cycles and streamlined application deployment processes. Key Features and Functionality: - Optimized Docker Environment: The AMI comes with the latest Docker Community Edition, offering built-in orchestration, networking, and security features to manage containers effectively. - Easy Deployment: Pre-configured for immediate use, it allows for quick installation and deployment of Docker on both bare metal servers and virtual machines within the AWS infrastructure. - Scalability and Flexibility: Supports dynamic workload management, enabling users to scale applications up or down in near real-time based on business needs. - Security Enhancements: Incorporates Ubuntu 20.04 LTS security features, including AppArmor and regular security updates, to protect containerized applications. - Integration with AWS Services: Seamlessly integrates with AWS services, allowing for the provisioning and auto-configuration of load balancers and deployment of secure Docker clusters across multiple availability zones. Primary Value and Problem Solved: This product addresses the challenges of setting up and managing containerized applications by providing a ready-to-use Docker environment on a stable and secure operating system. It simplifies the deployment process, reduces the time between code development and production, and offers a scalable solution that adapts to varying workload demands. By combining Docker's containerization technology with Ubuntu 20.04 LTS and AWS's cloud infrastructure, users gain a reliable and efficient platform for developing, testing, and deploying applications, ultimately enhancing operational efficiency and reducing costs.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Docker Community Engine on Ubuntu 20.04 LTS?

  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Docker Community Engine on Ubuntu 20.04 LTS?

Who Uses This Product?

  • Company Size: 100% Large

What Do G2 Reviewers Say About Docker Community Engine on Ubuntu 20.04 LTS?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Docker CE on Ubuntu 20.04 LTS to be exceptional, enhancing their setup experience.
  • Users appreciate the easy installation of Docker Community Engine on Ubuntu 20.04 LTS, thanks to clear documentation.
  • Users appreciate the smoother integration of Docker CE with Ubuntu 20.04 LTS, benefiting from a straightforward installation process.
Cons
  • Users note that the learning curve is steep, particularly for beginners struggling with concepts like orchestration and networking.
  • Users note that learning Docker concepts, like container orchestration and networking, can be difficult for beginners.

What Are Recent G2 Reviews of Docker Community Engine on Ubuntu 20.04 LTS?

Docker on AlmaLinux 8

Docker community edition allows for self-managed Docker deployments including Docker swarm setups.All of our Docker images provide full support to make sure you can get up and running properly.Every Docker image is updated at launch with the up to the minute security upgrades and patches making sure you are always running the most secure version available. Pre-configured with Docker 19; all pre-configured and ready to run your code.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Docker on AlmaLinux 8?

  • 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 Docker on AlmaLinux 8?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Docker on AlmaLinux 8?

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