# Best AWS Marketplace Software - Page 155

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

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

### Category Stats (Aug 2026)

- **Average Rating:** 4.39/5 (↓0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** ELK Kubernetes Container Solution Stack (+1.95%) - Among all products in this category, ELK Kubernetes Container Solution Stack recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank AWS Marketplace Software Products?

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

- 30 Analysts and Data Experts
- 29,700+ 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_llm&secure%5Bcategory_id%5D=2598&secure%5Bchosen_at%5D=2026-08-01T14%3A11%3A47Z&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%3D155&secure%5Btoken%5D=6acb29af46dfee194e2c0bd0d3f695ac37c179e819ca8a2c152408b16f04481b&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)

### [Tech Mahindra VerifAI](https://www.g2.com/products/tech-mahindra-verifai/reviews)

Tech Mahindra's VerifAI is a comprehensive solution designed to validate and verify the outcomes of Artificial Intelligence (AI) and Generative AI (GenAI) projects. It assists enterprises in ensuring the quality, security, and accuracy of their AI initiatives, facilitating a seamless transition from pilot phases to full-scale production. By providing a robust validation framework, VerifAI enables organizations to scale their AI projects efficiently and responsibly. Key Features and Functionality: - 360-Degree Validation Framework: VerifAI offers a pre-built, comprehensive validation framework that spans the entire GenAI lifecycle, ensuring thorough assessment at every stage. - Customizable Metrics: The solution provides adaptable metrics tailored to specific project requirements, allowing for precise evaluation and monitoring. - Microservices-Based Architecture: Its modular architecture facilitates seamless integration into existing technology stacks, enhancing flexibility and scalability. - Data Quality Validation: VerifAI assesses data quality during the discovery and pre-development phases, identifying biases, anomalies, and privacy concerns to ensure reliable inputs. - Model Testing and Tuning: In the development stage, it rigorously tests AI models, frameworks, and hyperparameters to guarantee security and accuracy. - Post-Deployment Verification: After deployment, VerifAI verifies and fine-tunes models to ensure outputs are consistent, explainable, and meet user expectations. Primary Value and Problem Solved: VerifAI addresses the critical challenge of moving AI projects from experimental phases to enterprise-level adoption by providing a robust validation and assurance framework. Many organizations hesitate to scale AI initiatives due to concerns over data quality, ethical considerations, security, and integration complexities. VerifAI mitigates these issues by offering a structured approach to assess, audit, and certify AI solutions across various domains and use cases. By automating validation and verification processes, it enables enterprises to responsibly leverage AI for growth and success, ensuring that AI systems perform as intended and adhere to legal and ethical standards. This leads to faster product development, improved decision-making, enhanced data integrity, and increased operational efficiency at a lower cost.

#### Who Is the Company Behind Tech Mahindra VerifAI?

- **Seller:** [Tech Mahindra Limited](https://www.g2.com/sellers/tech-mahindra-limited)
- **Year Founded:** 1986
- **HQ Location:** Pune, Maharashtra, India
- **Twitter:** @tech\_mahindra  
149,145 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2197a6a25a1afcbb73432c8d6faf02605e0bc9a4d7d2a3373d2040e0a589cd72&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftech-mahindra%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,531 employees on LinkedIn®

### [Technical Entity Recognizer](https://www.g2.com/products/technical-entity-recognizer/reviews)

Technical Entity Recognizer (TER) is the first cognitive computing tool specialized on technical and engineering terminology. This Named Entity Recognition (NER) software is the first step to develop a pipeline able to extract, structure and manage the technical know-how of your company. Once technical entities have been recognised in a text or a corpus, you can use them for further tasks such as advanced analytics, information retrieval, clustering, classification etc.

#### Who Is the Company Behind Technical Entity Recognizer?

- **Seller:** [Erre Quadro](https://www.g2.com/sellers/erre-quadro)
- **Year Founded:** 2001
- **HQ Location:** Pisa, IT
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=222c1bfe7fb43fee41fbfe955c17619e1d7125073ba27c4071fbb2ac029e41ef&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ferre-quadro-s-r-l-&secure%5Burl_type%5D=linkedin_company_website)  
33 employees on LinkedIn®

### [Technical Support & System Maintenance](https://www.g2.com/products/technical-support-system-maintenance/reviews)

MiT Systems provides premium technical support and maintenance options to address the most time-critical issue resolution requirements. MiT’s support escalation process is designed to ensure that the customer’s issues and concerns are addressed in a responsive timeframe based on its severity to the customer’s operations and its priority within MiT’s support environment.

#### Who Is the Company Behind Technical Support & System Maintenance?

- **Seller:** [MiT Systems](https://www.g2.com/sellers/mit-systems)
- **Year Founded:** 1997
- **HQ Location:** Fullerton, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bd38329a640ca2b870367f299c44846106a6d5fbe20c1ea63a6a35f52adaa984&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmit-systems-inc%2F&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

### [Tehama](https://www.g2.com/products/tehama-tehama/reviews)

Tehama is the fastest, easiest, most secure way to deploy a virtual workforce. With our next-generation DaaS platform, enterprises can create cloud-based virtual offices, rooms, and desktops anywhere in the world. No other solution on the market today connects remote workers with mission-critical and data-sensitive systems, with the speed, agility, unparalleled security, and comprehensive audit trail via built-in SOC 2 controls, real-time activity feeds and session recordings that Tehama offers.

#### Who Is the Company Behind Tehama?

- **Seller:** [Tehama](https://www.g2.com/sellers/tehama)
- **Year Founded:** 2023
- **HQ Location:** Ottawa, CA
- **LinkedIn® Page:** [ca.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=deac25e6352199bd324dc5ef981e97143fc9ffef4df1d16b63ca7e742eccc31d&secure%5Burl%5D=https%3A%2F%2Fca.linkedin.com%2Fcompany%2Ftehama&secure%5Burl_type%5D=linkedin_company_website)  
22 employees on LinkedIn®

### [Teleskope](https://www.g2.com/products/teleskope-teleskope/reviews)

Teleskope is a data security platform (DSPM/DLP) that helps security teams discover, classify, and automatically remediate sensitive data exposure across cloud, SaaS, collaboration, database, and AI environments — without manual triage or external remediation tools or ticketing. Designed primarily for CISOs, security operations, and GRC teams at mid-market and enterprise organizations, Teleskope addresses a gap that exists across the data security category: most platforms identify where sensitive data lives but provide no native mechanism to act on what they find. Teleskope combines deep classification with a built-in remediation engine, allowing organizations to move from finding risk to closing it in the same platform. At the core of the platform is a proprietary Data Reasoning Layer — an intelligence architecture that understands business context rather than matching against predefined patterns. This allows Teleskope to classify sensitive documents based on what they are and what they mean in a given environment, not just what regulated fields they contain. A draft M&A term sheet, a proprietary engineering formula, or a sealed legal record can each be identified as sensitive without a rule that says look for it. Key capabilities include: - Automated native remediation — inform, redact, quarantine, revoke access, relocate, or delete, enforced directly within the platform based on your policies, with no handoff to a ticketing system or external tool - Flexible deployment — air-gapped, single-tenant SaaS, or multi-tenant SaaS, covering regulated government and defense environments through to cloud-first enterprises - Broad connector coverage — cloud infrastructure (AWS, GCP, Azure), SaaS (Salesforce, ServiceNow, Workday), collaboration (Slack, Google Drive, Microsoft 365), databases (Snowflake, BigQuery, PostgreSQL), and AI tools (Microsoft Copilot, OpenAI, Claude) - AI data governance — classifies data before it reaches AI agents and copilots, blocks sensitive transfers to external LLMs, and governs what internal AI systems are trained on - Compliance-ready reporting — automated audit evidence for SOC 2, ISO 27001, HIPAA, PCI-DSS, GDPR, CCPA, and EU AI Act, with a full remediation log for every automated action. Key value propositions include: - Reduced risk exposure — high-confidence data exposure is remediated automatically and continuously, shrinking the attack surface in seconds rather than days. - Lower operational burden — security teams are freed from manual alert triage; customers report approximately one hour per week of active platform management after initial deployment. - Reduced legal and compliance liability — enforced retention policies eliminate data that has outlived its purpose, reducing what is discoverable in litigation, subject to breach. notification requirements, and exposed in regulatory inquiries. - Responsible AI adoption — security teams gain visibility and control over what data AI tools can reach before deployment, enabling organizations to adopt AI without creating ungoverned data exposure. - Faster time to value than legacy platforms — a crawl, walk, run deployment model brings customers from initial data map to governed automation in approximately six months. Teleskope is used by organizations in fintech, professional services, healthcare, hospitality, manufacturing, and the public sector, including Ramp, GoFundMe, The Atlantic, Aprio, Alloy, and Chevron Phillips.

**Average Rating:** 4.8/5.0

**Total Reviews:** 3

#### How Do G2 Users Rate Teleskope?

- **Has the product been a good partner in doing business?:** 10.0/10 (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 Teleskope?

- **Seller:** [Teleskope](https://www.g2.com/sellers/teleskope-26ab78ed-b7c8-479a-8a36-e73014f85de1)
- **Year Founded:** 2022
- **HQ Location:** New York, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=53006e1a11a8817c6d430e930851039ec8c837d47b53db59f36fa24dd3f1547d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fteleskopeai%2F&secure%5Burl_type%5D=linkedin_company_website)  
30 employees on LinkedIn®

#### Who Uses This Product?

- **Company Size:** 67% Medium

#### What Do G2 Reviewers Say About Teleskope?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **easy deployment and intuitive connections** of Teleskope, enhancing data classification and discovery significantly.
- Users appreciate the **easy deployment and intuitive connections** of Teleskope, driving significant value and engagement.
- Users value the **comprehensive coverage** of Teleskop, enhancing data classification and discovery across various applications.
- Users value the **intuitive connections** of Teleskope, which enhance data discovery and overall usability quickly.
- Users value the **intuitive deployment** of Teleskope, which quickly began delivering significant benefits for data management.

#### What Are Recent G2 Reviews of Teleskope?

**["Intuitive, Clean Platform for Data Analysis and Remediation"](https://www.g2.com/survey_responses/teleskope-review-13184651)**

**Rating:** 4.5/5.0 stars

_— Carlos C._

[Read full review](https://www.g2.com/survey_responses/teleskope-review-13184651)

**["Streamlined HR Data Management with Robust Automation"](https://www.g2.com/survey_responses/teleskope-review-12806818)**

**Rating:** 5.0/5.0 stars

_— Mishell P._

[Read full review](https://www.g2.com/survey_responses/teleskope-review-12806818)

### [TensorFlow 1.5 Python 2.7 NVidia GPU CUDA 9.1 Production on Ubuntu](https://www.g2.com/products/tensorflow-1-5-python-2-7-nvidia-gpu-cuda-9-1-production-on-ubuntu/reviews)

The "TensorFlow 1.5 Python 2.7 NVidia GPU CUDA 9.1 Production on Ubuntu" is an Amazon Machine Image (AMI) designed to provide a ready-to-use environment for deep learning applications. This AMI integrates TensorFlow 1.5 with Python 2.7, optimized for NVIDIA GPUs using CUDA 9.1, all running on the Ubuntu operating system. It offers a streamlined setup for developers and researchers aiming to leverage GPU acceleration for machine learning tasks. Key Features and Functionality: - Pre-configured Environment: The AMI comes with TensorFlow 1.5 and Python 2.7 pre-installed, reducing the time and effort required for setup. - GPU Optimization: Utilizes NVIDIA GPUs with CUDA 9.1 support, enabling efficient execution of computationally intensive deep learning models. - Ubuntu OS: Built on the stable and widely-used Ubuntu operating system, ensuring compatibility and reliability. - Scalability: Easily scalable on AWS EC2 instances, allowing users to adjust resources based on project requirements. Primary Value and Problem Solved: This AMI addresses the challenges associated with setting up a deep learning environment by providing a pre-configured, GPU-optimized platform. Users can focus on developing and training machine learning models without the complexities of manual installation and configuration. By leveraging this AMI, developers and researchers can accelerate their workflows, reduce setup time, and ensure compatibility between TensorFlow, CUDA, and the underlying hardware.

#### Who Is the Company Behind TensorFlow 1.5 Python 2.7 NVidia GPU CUDA 9.1 Production on Ubuntu?

- **Seller:** [Jetware](https://www.g2.com/sellers/jetware-c6839872-6292-4a7b-973d-ac6da2ceaa45)
- **Year Founded:** 2017
- **HQ Location:** Roma, IT
- **Twitter:** @jetware\_io  
25 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=776dc0660ec4fdc63006d90be47aaeb7018753ef0374aaafb08e80dd0af0063f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjetware.org%2Fabout%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

### [TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9.1 Production on Ubuntu](https://www.g2.com/products/tensorflow-1-5-python-3-6-nvidia-gpu-cuda-9-1-production-on-ubuntu/reviews)

The "TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9.1 Production on Ubuntu" Amazon Machine Image (AMI) is a pre-configured environment designed to streamline the development and deployment of deep learning applications. This AMI integrates TensorFlow 1.5 with Python 3.6, optimized for NVIDIA GPUs using CUDA 9.1, all within an Ubuntu operating system. Key Features and Functionality: - Pre-Configured Environment: Eliminates the need for manual setup by providing a ready-to-use deep learning framework. - TensorFlow 1.5 Integration: Offers compatibility with models and codebases developed for TensorFlow 1.5. - Python 3.6 Support: Ensures compatibility with a wide range of Python libraries and tools. - NVIDIA GPU Optimization: Utilizes CUDA 9.1 to leverage GPU acceleration, enhancing computational performance. - Ubuntu Operating System: Provides a stable and widely-used Linux environment for development. Primary Value and Problem Solved: This AMI addresses the complexities associated with setting up a deep learning environment by offering a pre-configured solution. Users can focus on developing and deploying machine learning models without the overhead of configuring software dependencies and ensuring hardware compatibility. By leveraging GPU acceleration through CUDA 9.1, it significantly reduces training times, making it ideal for production-level deep learning tasks.

#### Who Is the Company Behind TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9.1 Production on Ubuntu?

- **Seller:** [Jetware](https://www.g2.com/sellers/jetware-c6839872-6292-4a7b-973d-ac6da2ceaa45)
- **Year Founded:** 2017
- **HQ Location:** Roma, IT
- **Twitter:** @jetware\_io  
25 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=776dc0660ec4fdc63006d90be47aaeb7018753ef0374aaafb08e80dd0af0063f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjetware.org%2Fabout%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

### [TensorFlow 1.5 Python 3.6 NVidia GPU CUDA 9 Production](https://www.g2.com/products/tensorflow-1-5-python-3-6-nvidia-gpu-cuda-9-production/reviews)

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](https://www.g2.com/sellers/jetware-c6839872-6292-4a7b-973d-ac6da2ceaa45)
- **Year Founded:** 2017
- **HQ Location:** Roma, IT
- **Twitter:** @jetware\_io  
25 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=776dc0660ec4fdc63006d90be47aaeb7018753ef0374aaafb08e80dd0af0063f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjetware.org%2Fabout%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

### [TensorFlow CPU MKL Production](https://www.g2.com/products/tensorflow-cpu-mkl-production/reviews)

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](https://www.g2.com/sellers/jetware-c6839872-6292-4a7b-973d-ac6da2ceaa45)
- **Year Founded:** 2017
- **HQ Location:** Roma, IT
- **Twitter:** @jetware\_io  
25 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=776dc0660ec4fdc63006d90be47aaeb7018753ef0374aaafb08e80dd0af0063f&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fjetware.org%2Fabout%2F&secure%5Burl_type%5D=linkedin_company_website)  
2 employees on LinkedIn®

### [TeraDact S3 Batch Redact](https://www.g2.com/products/teradact-s3-batch-redact/reviews)

TeraDact S3 Batch Redact is a robust solution designed to automatically detect and irreversibly redact sensitive information within financial documents stored in Amazon S3. By leveraging advanced algorithms, it ensures that personally identifiable information (PII such as Tax File Numbers (TFNs is identified and securely removed without any human intervention. This process not only safeguards customer data but also aids organizations in adhering to stringent data privacy and compliance standards. Key Features and Functionality: - Automated Detection and Redaction: Utilizes sophisticated algorithms to identify and redact sensitive customer information, including TFNs, without manual input. - Irreversible Redaction: Ensures that all traces of sensitive data are completely removed, making the redaction process irreversible and secure. - API Integration: Offers API capabilities for instant redaction, allowing seamless integration into existing workflows. - Bulk Processing: Supports the redaction of large volumes of documents, enabling organizations to process multiple files simultaneously without manual reviews. Primary Value and Problem Solved: TeraDact S3 Batch Redact addresses the critical need for organizations to protect sensitive customer information within financial documents. By automating the detection and redaction process, it eliminates the risk of human error, enhances data security, and ensures compliance with data privacy regulations. This solution is particularly beneficial for businesses handling large volumes of financial documents, as it streamlines operations and reduces the time and resources required for manual redaction processes.

#### Who Is the Company Behind TeraDact S3 Batch Redact?

- **Seller:** [TeraDact Solutions](https://www.g2.com/sellers/teradact-solutions)
- **Year Founded:** 2021
- **HQ Location:** Missoula, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6b4fca2d11104db25e6a96a593ffb89b1967e88032de1b87511863f12761f703&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fteradact&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

### [Terracloudx EKS-optimized AMI with GPU Support](https://www.g2.com/products/terracloudx-eks-optimized-ami-with-gpu-support/reviews)

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?

- **Seller:** [terracloudx](https://www.g2.com/sellers/terracloudx)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Terracloudx LAMP and PhpMyAdmin Oneclick](https://www.g2.com/products/terracloudx-lamp-and-phpmyadmin-oneclick/reviews)

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?

- **Seller:** [terracloudx](https://www.g2.com/sellers/terracloudx)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Terracloudx Mautic Pro OneClick](https://www.g2.com/products/terracloudx-mautic-pro-oneclick/reviews)

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?

- **Seller:** [terracloudx](https://www.g2.com/sellers/terracloudx)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [Terracloudx NGINX Oneclick](https://www.g2.com/products/terracloudx-nginx-oneclick/reviews)

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?

- **Seller:** [terracloudx](https://www.g2.com/sellers/terracloudx)
- **HQ Location:** N/A
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7886df2ed926834e5eb248c77dcfa8e5c815d3ab1f0fe3132ced0dba45868834&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2FNo-Linkedin-Presence-Added-Intentionally-By-DataOps&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

### [TerraHub - DevOps Hub for Terraform Automation](https://www.g2.com/products/terrahub-devops-hub-for-terraform-automation/reviews)

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](https://www.g2.com/sellers/terrahub)
- **Year Founded:** 2018
- **HQ Location:** Woodcliff Lake, US
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=4f6c9458902a86c7b48c9af924accb05a79add0eb78f4d989dc7589fd7f91f79&secure%5Burl%5D=http%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fterrahubcorp&secure%5Burl_type%5D=linkedin_company_website)  
1 employees on LinkedIn®

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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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