Best AWS Marketplace Software - Page 152

How Many AWS Marketplace Software Products Does G2 Track?

Total Products under this Category: 2,493

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
  • 2,493+ 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.

TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9 Production

The TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9 Production AMI is a pre-configured, fully integrated software stack designed for machine learning and deep learning applications. It combines TensorFlow 1.5, Python 3.6, and CUDA 9, optimized for NVidia GPU acceleration, providing a stable and tested execution environment for training, inference, or running as an API service. This AMI is tailored for both short and long-running high-performance tasks and can be seamlessly integrated into continuous integration and deployment workflows. Key Features and Functionality: - Pre-configured Environment: Includes TensorFlow 1.5, Python 3.6, and CUDA 9, eliminating the need for manual setup and configuration. - GPU Optimization: Leverages NVidia GPU acceleration to enhance computational performance for machine learning tasks. - Stability and Reliability: Provides a tested and stable environment suitable for production workloads. - Integration Capabilities: Designed to fit seamlessly into continuous integration and deployment pipelines, facilitating efficient development workflows. Primary Value and Problem Solved: This AMI addresses the challenges associated with setting up and configuring a machine learning environment by offering a ready-to-use, optimized stack. Users can focus on developing and deploying machine learning models without the overhead of environment setup, ensuring efficient use of resources and time. The integration with NVidia GPUs ensures that computational tasks are performed with high efficiency, making it ideal for both development and production scenarios.

Who Is the Company Behind TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9 Production?

  • Seller: Jetware
  • Year Founded: 2017
  • HQ Location: Roma, IT
  • Twitter: @jetware_io
    25 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

TensorFlow CPU MKL Production

TensorFlow CPU MKL Production is a pre-configured runtime environment designed for machine learning tasks, integrating TensorFlow with Intel's Math Kernel Library (MKL to enhance performance on CPU-based systems. This setup is particularly beneficial for users seeking optimized training and inference capabilities without the need for GPU resources. Key Features and Functionality: - Optimized Performance: Leverages Intel MKL to accelerate deep learning computations on CPUs, providing significant speed improvements over standard CPU configurations. - Pre-Configured Environment: Includes TensorFlow, Keras, Python, and Jupyter Notebook, offering a ready-to-use platform for developing and deploying machine learning models. - Development Tools: Comes equipped with essential development tools such as C compilers and build utilities, facilitating a seamless development experience. Primary Value and User Solutions: This product addresses the need for high-performance machine learning environments on CPU infrastructure, making it ideal for users without access to GPUs or those preferring CPU-based deployments. By integrating Intel MKL, it ensures efficient execution of complex computations, reducing training and inference times. The inclusion of popular libraries and tools in a pre-configured setup simplifies the development process, allowing users to focus on model building and experimentation without the overhead of environment setup.

Who Is the Company Behind TensorFlow CPU MKL Production?

  • Seller: Jetware
  • Year Founded: 2017
  • HQ Location: Roma, IT
  • Twitter: @jetware_io
    25 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

TeraDact S3 Batch Redact

"What would take me 1 week, took me 30 minutes." That's how one UK police officer described RedactorPlus — and it captures why forces, municipalities and public sector bodies are replacing manual redaction with AI. RedactorPlus by TeraDact is a complete AI-powered redaction platform covering every format your disclosure obligations touch: Documents — PDF, Office, ODF, email and AutoCAD, with configurable rulesets Video — AI facial recognition with real-time tracking, vehicle registration detection, and bulk body-worn video processing Audio — speech detection and selective removal, speaker isolation, and transcription with keyword detection Images — faces, logos, plates and user-defined features, with batch processing The AI does the exhaustive detection work at 95% accuracy; your reviewers validate and approve every redaction, with a full audit trail. The result: an 80% reduction in redaction time. In one policing deployment, 4 out of 5 officers previously tied up in redaction returned to core duties. Your data never leaves your environment. Patented local AI processing means content is never sent to external AI services — the data protection exposure that undermines most cloud AI redaction tools simply doesn't exist. Deploy as SaaS with data residency compliance, on-premises, hybrid, or fully air-gapped. Built for FOI/FOIA requests, subject access requests, body-worn video disclosure, criminal investigation evidence and bulk anonymisation. Trusted by UK police forces and Dutch municipalities, integrated with NICE Investigate, and available on the UK Home Office national AI Redaction Framework. ISO 27001 | SOC 2 | Cyber Essentials Plus | ISO 27017 | ISO 27018

Who Is the Company Behind TeraDact S3 Batch Redact?

Terracloudx EKS-optimized AMI with GPU Support

Terracloudx offers this software product repackaged where additional charges apply for technical support provided by Terracloudx and includes EKS-optimized AMI with GPU, email

Who Is the Company Behind Terracloudx EKS-optimized AMI with GPU Support?

Terracloudx LAMP and PhpMyAdmin Oneclick

LAMP and PhpMyAdmin is the software group of different open source programs that are installed together, with the aim of enabling a server as a provider of dynamic web page services, as well as web applications. With the proportion of a coding framework it allows you to start the creation of your websites and apps much faster

Who Is the Company Behind Terracloudx LAMP and PhpMyAdmin Oneclick?

Terracloudx Mautic Pro OneClick

Terracloudx Mautic Pro OneClick is an all-in-one digital tool for marketing automation that from a single platform, allows you to manage and execute inbound marketing campaigns in a comprehensive way.

Who Is the Company Behind Terracloudx Mautic Pro OneClick?

Terracloudx NGINX Oneclick

NGINX Open Source is a lightweight and high-performance server capable of serving content to a high volume of connections. It is primarily adopted for its reliability, security, stability, and low resource consumption. It is used by high-demanding websites due to its asynchronous architecture and ideal for handling heavy loads. NGINX Open Source is simple to configure, and it can be extended with 3rd party modules. It is an essential component of the LEMP stack.

Who Is the Company Behind Terracloudx NGINX Oneclick?

TerraHub - DevOps Hub for Terraform Automation

TerraHub is a comprehensive DevOps platform designed to streamline and automate Terraform workflows, facilitating efficient provisioning and management of cloud resources across multiple accounts and providers. Its ecosystem comprises three core components: - TerraHub CLI: An open-source command-line tool that automates and orchestrates Terraform executions, enabling the creation and management of Terraform configurations with ease. - TerraHub API: A centralized layer for data and log management, collecting and organizing information from Terraform operations to provide a unified view of infrastructure activities. - TerraHub Console: A user-friendly graphical interface that displays real-time Terraform executions, offering enterprise-grade auditing and reporting capabilities for comprehensive oversight. Key Features and Functionality: - Centralized Real-Time Dashboards: Provides a unified view of cloud resources and Terraform executions across multiple accounts and regions, enhancing visibility and control. - Reliable and Enforceable Automation: Automates the provisioning and management of various cloud resources, including virtual machines, containers, and serverless services, ensuring consistency and reliability. - Data-Driven Decision Making: Utilizes machine learning and artificial intelligence to analyze cloud resource management data, enabling informed and proactive decisions. Primary Value and Problem Solved: TerraHub addresses the complexities associated with managing large-scale cloud infrastructures by automating Terraform workflows and providing centralized management tools. This automation reduces operational overhead, minimizes human error, and accelerates deployment processes. By offering real-time insights and comprehensive reporting, TerraHub empowers organizations to make data-driven decisions, optimize resource utilization, and enhance overall operational efficiency.

Who Is the Company Behind TerraHub - DevOps Hub for Terraform Automation?

  • Seller: TerraHub
  • Year Founded: 2018
  • HQ Location: Woodcliff Lake, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Terra Security

Terra Security is a comprehensive cybersecurity solution designed to protect organizations from a wide range of digital threats. By integrating advanced threat detection, real-time monitoring, and proactive defense mechanisms, Terra Security ensures the safety and integrity of sensitive data and systems. Its user-friendly interface and scalable architecture make it suitable for businesses of all sizes, providing robust protection without compromising performance. Key Features and Functionality: - Advanced Threat Detection: Utilizes machine learning algorithms to identify and neutralize emerging threats before they can cause harm. - Real-Time Monitoring: Offers continuous surveillance of network activities, promptly alerting administrators to any suspicious behavior. - Proactive Defense Mechanisms: Implements automated responses to detected threats, minimizing potential damage and reducing response times. - User-Friendly Interface: Provides an intuitive dashboard that simplifies the management and monitoring of security protocols. - Scalable Architecture: Adapts to the needs of various organizations, from small businesses to large enterprises, ensuring optimal performance regardless of scale. Primary Value and Solutions Provided: Terra Security addresses the critical need for robust cybersecurity in an increasingly digital world. By offering advanced threat detection and real-time monitoring, it empowers organizations to proactively defend against cyberattacks, safeguarding sensitive information and maintaining operational continuity. Its scalable design and user-friendly interface ensure that businesses can implement effective security measures without requiring extensive technical expertise, thereby enhancing overall resilience against digital threats.

Who Is the Company Behind Terra Security?

Tetra R&D Data Cloud

The Tetra R&D Data Cloud provides life sciences companies with the flexibility, scalability, and data-centric capabilities to enable easy access to centralized, standardized, and actionable scientific data and is actively deployed across enterprise pharma and biotech organizations.

Who Is the Company Behind Tetra R&D Data Cloud?

  • Seller: TetraScience
  • Year Founded: 2019
  • HQ Location: Boston, US
  • Twitter: @TetraScience
    972 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    164 employees on LinkedIn®

Tevico

Tevico is a cloud governance platform for your AWS cloud. With Tevico, you get guidance with respect to Cloud financial management, security management, inventory management and many more things which are crucial for your AWS governance. Additionally, Tevco has automation features which allow you to automate your cloud management workflows.

Who Is the Company Behind Tevico?

Text Classification with BERT and NeMo

This NeMo application trains text classification models using single-GPU or multi-GPU. We log performance metrics and visualize them with TensorBoard. We show how to do inference with NeMo, and we visualize BERT embeddings before and after fine-tuning.

Who Is the Company Behind Text Classification with BERT and NeMo?

  • Seller: NVIDIA
  • Year Founded: 1993
  • HQ Location: Santa Clara, CA
  • Twitter: @nvidia
    2,582,827 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    51,762 employees on LinkedIn®
  • Ownership: NVDA

TextPipe Pro ETL

TextPipe Pro is an industrial-strength text transformation workbench designed for data conversion, mining, electronic publishing, and website maintenance. Trusted by over 1,500 customers in 56 countries, it enables users to convert between various mainframe and PC data formats, fix data extracts, extract data from legacy databases, and reformat and standardize electronic text and program source code. Its unmatched power comes from an arsenal of over 100 manipulation filters, a unique architecture, and tremendous flexibility in combining these filters to suit each task. Key Features and Functionality: - Versatile Data Processing: Handles both text and binary files, including HTML, XML, CSV, and fixed-length formats. - Advanced Search and Replace: Supports exact, 'sounds-like,' fuzzy, pattern, and wildcard searches, with the ability to perform multiple changes across numerous files in a single pass. - Automation and Integration: Can be scheduled for automated processing with audit logs, integrates with Windows Explorer, and offers a COM interface for scripting via languages like Visual Basic, C++, and Delphi. - Custom Filters: Allows creation of custom filters using industry-standard VBScript and JScript, enabling database lookups and integration with applications like Excel or Word. - Large File Handling: Processes files larger than 10 Gigabytes without using temporary disk space, ensuring efficient handling of massive datasets. Primary Value and User Solutions: TextPipe Pro streamlines complex text processing tasks, saving time and reducing errors by automating data conversion and transformation processes. It addresses challenges in data extraction, cleansing, and reformatting, making it an invaluable tool for IT professionals, developers, and data analysts dealing with large volumes of text data. Its flexibility and power make it suitable for a wide range of industries, including banking, telecommunications, healthcare, and publishing.

Who Is the Company Behind TextPipe Pro ETL?

  • Seller: DataMystic
  • Year Founded: 2001
  • HQ Location: Mount Waverley, AU
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Text Similarity Analyzer

The Text Similarity Analyzer is a robust API designed to evaluate the similarity between two pieces of text, such as words, sentences, paragraphs, or entire documents. By providing a similarity score, it enables users to determine how closely related two texts are, facilitating more efficient text analysis and comparison. Key Features and Functionality: - Versatile Text Comparison: Capable of analyzing various text forms, including individual words, sentences, paragraphs, and full documents. - Similarity Scoring: Generates a numerical score indicating the degree of similarity between two texts, aiding in quick assessments. - No Setup or Training Required: Operates without the need for initial setup or training data, allowing for immediate use. - User-Friendly Documentation: Comes with straightforward documentation, ensuring ease of integration and use. - Free Tier Availability: Offers a free tier with full features, enabling users to explore its capabilities without initial investment. Primary Value and User Solutions: The Text Similarity Analyzer addresses the challenge of efficiently comparing and analyzing textual data. By providing a quantifiable measure of text similarity, it streamlines processes such as keyword research, content deduplication, and semantic analysis. For instance, in keyword research, it can automatically sort a list of keywords by their relevance to a specified topic, significantly reducing the time and effort required to identify pertinent keywords. This functionality is particularly beneficial for professionals in fields like content creation, data analysis, and information retrieval, where understanding the relationship between different texts is crucial.

Who Is the Company Behind Text Similarity Analyzer?

Theano 1 Python 2.7 CPU Production

Theano, a numerical computation library for Python, and Python, a high-level programming language for general-purpose programming

Who Is the Company Behind Theano 1 Python 2.7 CPU Production?

  • Seller: Jetware
  • Year Founded: 2017
  • HQ Location: Roma, IT
  • Twitter: @jetware_io
    25 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®
Neeraja Prakash
NP
Researched and written by Neeraja Prakash
Updated June 16, 2025