# Best AWS Marketplace Software - Page 53

## How Many AWS Marketplace Software Products Does G2 Track?

**Total Products under this Category:** 2,544

### Category Stats (Jul 2026)

- **Average Rating:** 4.4/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Wordpress for Centos8 (+1.19%) - Among all products in this category, Wordpress for Centos8 recorded the largest rating increase compared to last month

_Last updated: July 26, 2026_

## How Does G2 Rank AWS Marketplace Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 29,600+ Authentic Reviews
- 2,544+ 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.

**Sponsored**

### Fortinet Managed Rules for AWS WAF

Fortinet’s WAF rulesets are additional security signatures that can be used to enhance the protections included in the base AWS WAF product. They are updated on a regular basis to include the latest threat intelligence from the award-winning FortiGuard Labs. The Complete OWASP Top 10 Ruleset provides a comprehensive package for web application protection offered by Fortinet to help address the OWASP Top 10 web application threats. Includes protection for various Injection attacks such as SQL and command Injection , Cross Site Scripting, General and Known Exploits, Malicious Bots and Common Vulnerabilities and Exposures (CVE).

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=2598&secure%5Bchosen_at%5D=2026-07-28T04%3A50%3A18Z&secure%5Bdisplayable_resource_id%5D=2598&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=2598&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=145276&secure%5Bresource_id%5D=2598&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Faws-marketplace%3Fpage%3D53&secure%5Btoken%5D=6a0e6339071086cbf18dbd55f2d9b9bbe49cfdda7beb773868da435c05c6ff96&secure%5Burl%5D=https%3A%2F%2Fwaf-security.com%2F%3Futm_source%3Dg2%26utm_medium%3Dcpc%26utm_id%3Ddirect-publisher&secure%5Burl_type%5D=custom_url)

### [Autoencoder for Fraud Detection](https://www.g2.com/products/autoencoder-for-fraud-detection/reviews)

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?

- **Seller:** [FraudML](https://www.g2.com/sellers/fraudml)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

### [AutoGluon-Tabular](https://www.g2.com/products/autogluon-tabular/reviews)

#### Who Is the Company Behind AutoGluon-Tabular?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,232,483 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

### [Automated Feature Engineering](https://www.g2.com/products/automated-feature-engineering/reviews)

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](https://www.g2.com/sellers/mphasis-5a2b4772-cd1c-4cbd-bf88-54fc79a85d25)
- **Year Founded:** 2007
- **HQ Location:** Reston, VA
- **Twitter:** @Stelligent (1,106 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/220927 (14 employees on LinkedIn®)

### [automatic license plate recognition](https://www.g2.com/products/automatic-license-plate-recognition/reviews)

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?

- **Seller:** [Clear Image AI](https://www.g2.com/sellers/clear-image-ai)
- **Year Founded:** 2018
- **HQ Location:** Luxembourg, LU
- **LinkedIn® Page:** http://www.linkedin.com/company/clear-image-ai (4 employees on LinkedIn®)

### [AutoML-Matrix Algorithm](https://www.g2.com/products/automl-matrix-algorithm/reviews)

AutoML-Matrix is an advanced algorithm designed to automatically construct high-performance machine learning models for classifying data presented in matrix or tabular form. Leveraging proprietary machine learning techniques, it streamlines the model development process by automating data preprocessing, feature engineering, hyperparameter optimization, and model training. Available on the Amazon SageMaker platform, AutoML-Matrix enables users to train and deploy models at scale without requiring extensive machine learning expertise. Key Features and Functionality: - Data Preprocessing and Feature Engineering: - Automatically transforms user data into a computationally optimal format. - Identifies and discards anomalous data points during model training. - Detects and removes redundant or noisy features to enhance model performance. - Generates new, informative features to uncover hidden patterns within the data. - Hyperparameter Optimization and Training: - Eliminates the need for manual hyperparameter tuning with fully automated optimization. - Utilizes a fast and accurate proprietary learning algorithm. - Automatically halts training when further performance improvements are unlikely. - Allows users to set a maximum training time, after which training ceases. - User Accessibility: - Designed for users without machine learning or deep learning expertise. - Features a user-friendly web console, enabling domain experts with no programming experience to train and evaluate models. Primary Value and User Solutions: AutoML-Matrix addresses the complexities and time-consuming nature of traditional machine learning model development by automating critical processes such as data preprocessing, feature engineering, and hyperparameter tuning. This automation significantly reduces the need for specialized knowledge, making machine learning accessible to a broader range of users. By streamlining the model development pipeline, AutoML-Matrix enables organizations to rapidly deploy accurate and efficient classification models, thereby accelerating data-driven decision-making and enhancing operational efficiency.

#### Who Is the Company Behind AutoML-Matrix Algorithm?

- **Seller:** [Deep Element](https://www.g2.com/sellers/deep-element)
- **Year Founded:** 2020
- **HQ Location:** Hyderabad, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/deep-element-ai (2 employees on LinkedIn®)

### [AV1 Encoder Optimized for VoD (4K/8K HDR)](https://www.g2.com/products/av1-encoder-optimized-for-vod-4k-8k-hdr/reviews)

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)?

- **Seller:** [Visionular](https://www.g2.com/sellers/visionular)
- **Year Founded:** 2018
- **HQ Location:** Los Altos, US
- **LinkedIn® Page:** https://www.linkedin.com/company/visionular/ (33 employees on LinkedIn®)

### [Aventra IRON](https://www.g2.com/products/aventra-iron/reviews)

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](https://www.g2.com/sellers/accenture)
- **Year Founded:** 1989
- **HQ Location:** Dublin, Ireland
- **Twitter:** @Accenture (515,103 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/accenture (672,927 employees on LinkedIn®)
- **Ownership:** NYSE:ACN

### [Aventra IRON m4.Large](https://www.g2.com/products/aventra-iron-m4-large/reviews)

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 m4.Large?

- **Seller:** [Accenture](https://www.g2.com/sellers/accenture)
- **Year Founded:** 1989
- **HQ Location:** Dublin, Ireland
- **Twitter:** @Accenture (515,103 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/accenture (672,927 employees on LinkedIn®)
- **Ownership:** NYSE:ACN

### [Aventra IRON m4.xLarge](https://www.g2.com/products/aventra-iron-m4-xlarge/reviews)

Aventra IRON delivers bare-metal performance to tens of thousands of our database-as-a-service, cloud customers with our IRON technology. This patent pending technology has been in use for years. Now you can use its unique capabilities as an AWS-AMI for all kinds of your EC2 workloads to cost effectively boost instance productivity while ensuring data persistence and high-availability. In fact, it costs you nothing to find out how much more workload productivity you can cost effectively deliver with this Aventra Optimizer. 14 Day Free Trial is Available. Search Aventra for more EC2 Optimizers.

#### Who Is the Company Behind Aventra IRON m4.xLarge?

- **Seller:** [Accenture](https://www.g2.com/sellers/accenture)
- **Year Founded:** 1989
- **HQ Location:** Dublin, Ireland
- **Twitter:** @Accenture (515,103 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/accenture (672,927 employees on LinkedIn®)
- **Ownership:** NYSE:ACN

### [Avideo - Your own Tube website powered by TurnKey GNU/Linux](https://www.g2.com/products/avideo-your-own-tube-website-powered-by-turnkey-gnu-linux/reviews)

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](https://www.g2.com/sellers/turnkey-gnu-linux-7ea92b67-caf9-43f2-ad94-81cc839f1270)
- **Year Founded:** 2008
- **HQ Location:** Ra'anana, Central District
- **Twitter:** @turnkeylinux (934 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/turnkey-linux/ (3 employees on LinkedIn®)

### [Avimesa.Live](https://www.g2.com/products/avimesa-live/reviews)

Avimesa.Live is a comprehensive Industrial Internet of Things (IIoT Software-as-a-Service (SaaS platform designed to facilitate rapid deployment and management of sensor networks across various industrial applications. It enables users to connect a wide array of sensors to equipment, assets, or infrastructure within minutes, providing real-time data visualization, alerts, and device management through an intuitive web interface. The platform supports seamless integration with existing systems via robust APIs, making it adaptable to diverse industrial needs. Key Features and Functionality: - Plug-and-Play Connectivity: Supports hundreds of sensor types, including those for gas detection, equipment health monitoring, and environmental conditions. - Scalable Networks: Each sensor network can cover extensive areas, requiring only a single LTE connection for vast industrial sites. - Cross-Platform Compatibility: Operates on various systems such as Debian, Red Hat, Raspbian, and Nordic NRF series, with well-documented C and Node.js codebases. - Customizable Dashboards: Offers real-time data visualization, trend analysis, and analytics through user-friendly dashboards. - Configurable Alerts: Allows creation of rules for SMS and email notifications based on critical thresholds or events. - Device Management: Enables remote configuration, over-the-air updates, and monitoring of device health. - Developer API: Provides robust RESTful APIs for seamless integration with existing business applications or data lakes. Primary Value and Problem Solved: Avimesa.Live addresses the complexities associated with deploying and managing industrial sensor networks by offering a user-friendly, scalable, and customizable IIoT platform. It simplifies the integration of diverse sensors, facilitates real-time monitoring, and enhances operational efficiency through proactive alerts and comprehensive data analysis. By providing a plug-and-play solution with extensive compatibility and robust support, Avimesa.Live empowers industries to implement effective monitoring systems swiftly, reducing downtime and improving overall productivity.

#### Who Is the Company Behind Avimesa.Live?

- **Seller:** [Avimesa](https://www.g2.com/sellers/avimesa)
- **Year Founded:** 2015
- **HQ Location:** San Diego, US
- **LinkedIn® Page:** https://www.linkedin.com/company/avimesa (5 employees on LinkedIn®)

### [AWS CodePipeline for CI/CD Automation](https://www.g2.com/products/aws-codepipeline-for-ci-cd-automation/reviews)

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?

- **Seller:** [Insoft Services](https://www.g2.com/sellers/insoft-services)
- **Year Founded:** 2016
- **HQ Location:** Yokohama, JP
- **LinkedIn® Page:** https://www.linkedin.com/company/insoftservices (7 employees on LinkedIn®)

#### Who Uses This Product?

- **Company Size:** 100% Medium

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

**["Feature-Rich, Fully Managed CI/CD with Seamless AWS Integrations"](https://www.g2.com/survey_responses/aws-codepipeline-for-ci-cd-automation-review-12973536)**

**Rating:** 5.0/5.0 stars

_— Jahangeer W._

[Read full review](https://www.g2.com/survey_responses/aws-codepipeline-for-ci-cd-automation-review-12973536)

### [AWS Data Science Hub - DSVM](https://www.g2.com/products/aws-data-science-hub-dsvm/reviews)

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](https://www.g2.com/sellers/ntegral)
- **Year Founded:** 2002
- **HQ Location:** Atlanta, US
- **LinkedIn® Page:** https://www.linkedin.com/company/1353454 (10 employees on LinkedIn®)

### [AWS Deep Learning AMI Ubuntu 16.04 Version 38.0 with Support Bansir](https://www.g2.com/products/aws-deep-learning-ami-ubuntu-16-04-version-38-0-with-support-bansir/reviews)

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?

- **Seller:** [Bansir](https://www.g2.com/sellers/bansir)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

### [AWS Deep Learning AMI (Ubuntu 18.04) with Support by Terracloudx](https://www.g2.com/products/aws-deep-learning-ami-ubuntu-18-04-with-support-by-terracloudx/reviews)

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?

- **Seller:** [terracloudx](https://www.g2.com/sellers/terracloudx)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

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Spotlight Categories

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[Browse AWS Marketplace Themes](/categories/aws-marketplace/themes)

 ![Neeraja Prakash](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Neeraja Prakash")
NP

Researched and written by [Neeraja Prakash](https://research.g2.com/insights/author/neeraja-prakash)

Updated June 16, 2025

The AWS Marketplace category includes a diverse range of software solutions designed to enhance and optimize operations within the Amazon Web Services (AWS) ecosystem. These products offer pre-configured Amazon Machine Images (AMIs), container solutions, and specialized services that cater to various business needs, from secure web hosting and data labeling to machine learning model deployment and transportation cost prediction. By leveraging AWS infrastructure, these solutions provide scalability, security, and seamless integration with existing AWS services, enabling businesses to efficiently deploy, manage, and scale their applications and services in the cloud.

To qualify for inclusion in the AWS Marketplace category, a product must:

- Have features and use cases that do not fit into existing marketplace apps categories
- Be designed to integrate with or enhance the functionality of AWS services, providing value through pre-configured environments, specialized tools, or managed services

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