Best AWS Marketplace Software - Page 52

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.

Autocode PHP Code Recommender

Autocode Text To PHP Code Recommender takes a code related user text query as input and returns 3 optimal PHP code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around them, it is very difficult to be technically fluent in all of them. Another challenge is the amount of code development time and effort spent on looking up efficient solutions to solve a problem. This solution helps in addressing these practical problems faced by the developer community

Who Is the Company Behind Autocode PHP Code Recommender?

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

Autocode Ruby Code Recommender

Autocode Text To Ruby Code Recommender takes a code related user text query as input and returns 3 optimal Ruby code recommendations from Github that will be syntactically and semantically correct. Considering the ever increasing number of programming languages and the frameworks that are built around them, it is very difficult to be technically fluent in all of them. Another challenge is the amount of code development time and effort spent on looking up efficient solutions to solve a problem. This solution helps in addressing these practical problems faced by the developer community.

Who Is the Company Behind Autocode Ruby Code Recommender?

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

Auto Deep Learning for Tabular Data

This solution automatically identifies and trains the best performing deep learning model for tabular data.

Who Is the Company Behind Auto Deep Learning for Tabular Data?

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

Autoencoder for Fraud Detection

The algorithm trains a sparse autoencoder model to predict on classification datasets directly from CSV data.

Who Is the Company Behind Autoencoder for Fraud Detection?

Automated Feature Engineering

The solution performs automated feature engineering steps like feature selection and can remove rare levels from features.

Who Is the Company Behind Automated Feature Engineering?

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

automatic license plate recognition

The Automatic License Plate Recognition (ALPR software by Clear Image AI is a robust solution designed to accurately identify and process vehicle license plates from various image sources. Leveraging advanced computer vision and machine learning technologies, this software ensures high precision in diverse conditions, including low-resolution images, challenging angles, and varying lighting scenarios. It is optimized for deployment across multiple countries, making it suitable for global applications. Key Features and Functionality: - High Accuracy: Utilizes sophisticated algorithms to deliver precise license plate recognition, even in suboptimal imaging conditions. - Versatile Input Compatibility: Capable of processing live camera feeds, video files, and still images, providing flexibility in integration. - Global Optimization: Tailored to recognize license plates from over 90 countries, accommodating various plate designs and formats. - Comprehensive Vehicle Data Extraction: Beyond license plate numbers, the software identifies vehicle attributes such as make, model, color, and direction of travel. - Adaptability to Challenging Conditions: Effectively processes images with issues like blurriness, low resolution, and difficult angles, ensuring reliable performance. Primary Value and User Solutions: This ALPR software addresses the critical need for efficient and accurate vehicle identification in sectors such as law enforcement, traffic management, and security. By automating the recognition process, it reduces manual workload, enhances operational efficiency, and supports real-time decision-making. Its adaptability to various environmental conditions and compatibility with multiple input sources make it a versatile tool for organizations aiming to implement or upgrade their vehicle recognition systems.

Who Is the Company Behind automatic license plate recognition?

AV1 Encoder Optimized for VoD (4K/8K HDR)

The AV1 Encoder Optimized for VoD (4K/8K HDR is a high-performance video encoding solution designed to deliver superior quality video-on-demand (VoD content at reduced bitrates. Leveraging the advanced AV1 codec, this encoder supports ultra-high-definition resolutions up to 8K and high dynamic range (HDR formats, ensuring an immersive viewing experience across various devices. Key Features and Functionality: - Ultra-High-Definition Support: Encodes video content in resolutions up to 8K, catering to the growing demand for high-resolution media. - High Dynamic Range (HDR: Supports multiple HDR formats, including HDR10 and Dolby Vision, enhancing color depth and contrast for a more realistic visual experience. - Advanced Compression Efficiency: Utilizes the AV1 codec to achieve higher compression efficiency compared to traditional codecs like H.264 and HEVC, enabling high-quality video delivery at lower bitrates. - Multi-Codec Support: In addition to AV1, the encoder supports other codecs such as VP9, HEVC (H.265, and H.264, providing flexibility in encoding options. - Content Security: Integrates with multiple digital rights management (DRM and watermarking providers, ensuring secure video delivery up to 8K resolution. - Deployment Flexibility: Offers cloud-based deployment options, allowing processing within a Virtual Private Cloud (VPC environment or as a fully managed cloud service. Primary Value and User Benefits: This encoder addresses the critical need for delivering high-quality VoD content while optimizing bandwidth usage and storage costs. By employing the AV1 codec, it enables content providers to stream ultra-high-definition videos with enhanced visual quality at significantly lower bitrates, making it ideal for bandwidth-constrained networks. The support for multiple HDR formats ensures that viewers receive a rich and immersive experience, while the integration with DRM systems guarantees content security. Additionally, its flexible deployment options allow for seamless integration into existing workflows, providing scalability and efficiency for media and entertainment companies aiming to meet the increasing demand for high-resolution, high-quality video content.

Who Is the Company Behind AV1 Encoder Optimized for VoD (4K/8K HDR)?

Aventra IRON

With Aventra IRON, you deliver targeted workload performance requirements with cost effective resources. Aventra's AMI's accelerate compute, memory and storage optimized instances; high-performance computing instances; and instances used for general purpose applications.

Who Is the Company Behind Aventra IRON?

  • Seller: Accenture
  • Year Founded: 1989
  • HQ Location: Dublin, Ireland
  • Twitter: @Accenture
    515,103 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    691,898 employees on LinkedIn®
  • Ownership: NYSE:ACN

Avideo - Your own Tube website powered by TurnKey GNU/Linux

TurnKey Avideo helps save you time and money by providing a ready-to-run Avideo solution that is secure, supported and easy to maintain. The system auto-updates itself with security fixes and is built in a transparent 100% open source process free of hidden backdoors

Who Is the Company Behind Avideo - Your own Tube website powered by TurnKey GNU/Linux?

  • Seller: TurnKey GNU/Linux
  • Year Founded: 2008
  • HQ Location: Ra'anana, Central District
  • Twitter: @turnkeylinux
    934 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

AWS CodePipeline for CI/CD Automation

AWS CodePipeline is a fully managed continuous integration and continuous delivery (CI/CD) service that automates the build, test, and deployment phases of application release processes. By orchestrating the entire workflow from code commit to production, CodePipeline enables developers to deliver software updates rapidly and reliably, ensuring consistent and error-free deployments. Key Features and Functionality: - CI/CD Pipeline Design and Setup: Facilitates the creation and configuration of automated pipelines tailored to specific development workflows. - Integration with Various Tools: Seamlessly integrates with AWS services like CodeCommit, as well as third-party tools such as GitHub and Jenkins, allowing flexibility in source control and build environments. - Automated Testing and Deployment: Supports the automation of testing and deployment processes, enabling continuous delivery and reducing manual intervention. Primary Value and Problem Solved: AWS CodePipeline addresses the challenges of manual software release processes by providing a streamlined, automated solution for CI/CD. It enhances developer productivity by eliminating the need for manual build and deployment steps, reduces the risk of errors through consistent workflows, and accelerates the delivery of new features and updates to end-users. This automation ensures that applications are released faster and with higher reliability, meeting the demands of modern software development practices.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate AWS CodePipeline for CI/CD Automation?

  • Quality of Support: 5.0/10 (Category avg: 8.5/10)
  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind AWS CodePipeline for CI/CD Automation?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of AWS CodePipeline for CI/CD Automation?

AWS Data Science Hub - DSVM

The 'Azure Data Science Hub (DSVM)' is a 'Ubuntu 20.04.2' VM that has several popular tools for data exploration, analysis, modeling & development pre installed. The installed AI/ML environment is available in browser via JupyterHub and Jupyter notebooks with separate Jupyter environment for a single developer or individual user of a team, saving you time, cost and server administration efforts.

Who Is the Company Behind AWS Data Science Hub - DSVM?

  • Seller: Ntegral
  • Year Founded: 2002
  • HQ Location: Atlanta, US
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®

AWS Deep Learning AMI Ubuntu 16.04 Version 38.0 with Support Bansir

This product has charges associated with it for seller support, includes AWS Deep Learning AMI Ubuntu 16.04 Version 38.0 and includes support. AWS Deep Learning Base AMI provides a foundational platform for deep learning on AWS EC2 with NVIDIA CUDA, cuDNN, NCCL, GPU Drivers, Intel MKL-DNN, Docker, NVIDIA-Docker, EFA, and AWS Neuron support. This AMI is suitable for deploying your own custom deep learning environment at scale. For example, for machine learning developers contributing to open source deep learning framework enhancements, the AWS Deep Learning Base AMI provides a foundation for installing your custom configurations and forked repositories to test out new framework features. You could also be a Machine Learning / AI startup with a highly specialized deep learning setup that needs a foundation to run on a cloud-scale infrastructure.

Who Is the Company Behind AWS Deep Learning AMI Ubuntu 16.04 Version 38.0 with Support Bansir?

AWS Deep Learning AMI (Ubuntu 18.04) with Support by Terracloudx

AWS Deep Learning AMI (Ubuntu 18.04) with Support by Terracloudx is a special type of virtual appliance that is used to create a virtual machine within the Amazon Elastic Compute Cloud (EC2). It serves as the basic unit of deployment for services delivered using EC2. It provides machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.

Who Is the Company Behind AWS Deep Learning AMI (Ubuntu 18.04) with Support by Terracloudx?

AWS Direct Connect Enablement

Clair provides Instant Pay Access as a Service for HCM and gig platforms to allow workers to get paid daily.

Who Is the Company Behind AWS Direct Connect Enablement?

  • Seller: Clair
  • Year Founded: 2019
  • HQ Location: New York, US
  • LinkedIn® Page: www.linkedin.com
    67 employees on LinkedIn®
Neeraja Prakash
NP
Researched and written by Neeraja Prakash
Updated June 16, 2025