# Best AWS Marketplace Software - Page 33

*By [Neeraja Prakash](https://research.g2.com/insights/author/neeraja-prakash)*


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







## 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**

### Paessler PRTG

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[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&amp;secure%5Bad_slot%5D=category_product_list&amp;secure%5Bcategory_id%5D=2598&amp;secure%5Bchosen_at%5D=2026-07-27T11%3A12%3A05Z&amp;secure%5Bdisplayable_resource_id%5D=168&amp;secure%5Bdisplayable_resource_type%5D=Category&amp;secure%5Bmedium%5D=sponsored&amp;secure%5Bplacement_reason%5D=neighbor_category&amp;secure%5Bplacement_resource_ids%5D%5B%5D=168&amp;secure%5Bprioritized%5D=false&amp;secure%5Bproduct_id%5D=10874&amp;secure%5Bresource_id%5D=2598&amp;secure%5Bresource_type%5D=Category&amp;secure%5Bsource_type%5D=llm_category_page&amp;secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Faws-marketplace%3Fpage%3D35&amp;secure%5Btoken%5D=023aa4c496c45aa96f0f3b6a58ff7608f09881f171a8d244acc92b4650f851ee&amp;secure%5Burl%5D=https%3A%2F%2Fwww.paessler.com%2Flp%2Fapplication-performance-monitoring-tool%3Futm_medium%3Dlisting%26utm_source%3Dg2%26utm_campaign%3Dg2-ppc-application-performance-monitoring&amp;secure%5Burl_type%5D=custom_url)

---

## What Are the Top-Rated AWS Marketplace Software Products in 2026?
### 1. [Axstrm DataOps](https://www.g2.com/products/axstrm-dataops/reviews)
Transform data into intelligence with our DataOps solutions. Axstrm DataOps will help you build a data-driven competitive edge, handling the complete lifecycle of the data from streaming to reporting. We can support the whole integration, implementation and data management process for you - Data Stream Management &amp; Analytics from different sources, Data Distribution &amp; Processing, Data Storage Management, Transactional &amp; Analytical Database Process Management.



**Who Is the Company Behind Axstrm DataOps?**

- **Seller:** [Axstrm](https://www.g2.com/sellers/axstrm-42d05f1d-b1ff-4e14-b754-62b4e3a36f6e)
- **HQ Location:** San Ramon, US
- **Twitter:** @axstrm (5 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/axstrm (1 employees on LinkedIn®)






### 2. [AzuraCast Radio Management](https://www.g2.com/products/azuracast-radio-management/reviews)
This AzuraCast - Radio Management Image is packaged to leverage cost-effectiveness, scalability, and flexibility. The product has charges associated with it for support, maintenance, and pre-configuration to be instantaneously deployed on AWS Marketplace with all security and enterprise standards.


**Average Rating:** 4.8/5.0
**Total Reviews:** 2
**How Do G2 Users Rate AzuraCast Radio Management?**

- **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:** 9.2/10 (Category avg: 8.6/10)
- **Ease of Use:** 9.2/10 (Category avg: 8.7/10)

**Who Is the Company Behind AzuraCast Radio Management?**

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

**Who Uses This Product?**
- **Company Size:** 100% Small-Business



#### What Are Recent G2 Reviews of AzuraCast Radio Management?

**"[Easy Icecast Setup and Maintenance with Live Streaming](https://www.g2.com/survey_responses/azuracast-radio-management-review-12674044)"**

**Rating:** 5.0/5.0 stars
*— David L.*

[Read full review](https://www.g2.com/survey_responses/azuracast-radio-management-review-12674044)

---

**"[AzuraCast is good for music WebRadio](https://www.g2.com/survey_responses/azuracast-radio-management-review-8317212)"**

**Rating:** 4.5/5.0 stars
*— Алексей .*

[Read full review](https://www.g2.com/survey_responses/azuracast-radio-management-review-8317212)

---



### 3. [B2T Service Community Plan](https://www.g2.com/products/b2t-service-community-plan/reviews)
The B2T Service Community Plan, offered by TaxMeter International, is a cloud-based solution that automates income tax calculations directly from a company&#39;s accounting records. Utilizing the proprietary B2T Engine, it performs critical book-to-tax adjustments automatically, eliminating the need for users to have prior accounting or tax knowledge. By simply submitting input data via an Excel file, users can achieve accurate tax computations without manual intervention. Key Features and Functionality: - Fully Automated Book-to-Tax Adjustments: The B2T Engine processes accounting data to perform necessary tax adjustments, ensuring compliance with tax regulations. - No Accounting or Tax Expertise Required: Users can input business data without needing to understand complex accounting standards or tax laws, as the engine incorporates these internally. - User-Overridable Rates and Formulas: While the engine provides automated calculations, users have the flexibility to override rates and formulas to accommodate specific scenarios or preferences. Primary Value and User Solutions: The B2T Service Community Plan addresses the challenge of complex and time-consuming tax calculations by offering a streamlined, automated process. It reduces the risk of human error, ensures compliance with current tax regulations, and saves valuable time for businesses. This service is particularly beneficial for small to medium-sized enterprises lacking in-house tax expertise, as it simplifies the tax computation process and allows them to focus on core business activities.



**Who Is the Company Behind B2T Service Community Plan?**

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






### 4. [Baby i](https://www.g2.com/products/baby-i/reviews)
Baby i is a comprehensive suite developed by Infinite Corporation to facilitate the migration of IBM AS/400 applications to Amazon Web Services (AWS). It includes compilers, utilities, and operating system services that enable applications written in RPG for the AS/400 environment to be migrated at the source code level, recompiled, and executed natively on AWS. Key Features and Functionality: - Source-Level Migration: Allows AS/400 applications to be migrated at the source code level, preserving existing codebases. - Infinite Deployment Environment: Executes recompiled object code natively under AWS, replicating the AS/400 operating environment. - Database Replication: Includes a complete replication of the AS/400 database (DB2/400, enabling applications to function as they did on the original platform without extensive code rewriting. - Platform Independence: Generates truly native multi-platform solutions, allowing applications to run on standard AWS Virtual Machines. Primary Value and Problem Solved: Baby i offers a cost-effective and efficient alternative to rewriting or redeveloping AS/400 applications. By enabling rapid migration with minimal risk, it protects the investment in legacy code and current support and development staff. The solution reduces the number of platforms to be supported, lowers operational costs, and provides a scalable architecture through AWS. Additionally, Baby i facilitates database independence by migrating and executing DB2/400 data in AWS without requiring IBM database licensing, resulting in significant cost savings.



**Who Is the Company Behind Baby i?**

- **Seller:** [Infinite Software](https://www.g2.com/sellers/infinite-software-219ea997-f26e-4cdc-8cd9-6fb781ab952c)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 5. [Back2Classroom App](https://www.g2.com/products/back2classroom-app/reviews)
A unique solution for educational institutions such as Universities, Community Colleges and local schools to manage in-person and remote attendance to classrooms. Our solution launched for the fall 2020 semester, is used by higher education institutes to safely bring back students into socially distanced classrooms and our analytics provide unprecedented visibility of student attendance at course, department, college and campus level. With a free 30-day pilot program, we will help you customize the application to your needs, integrate your data and dry-run the system for acceptance testing.



**Who Is the Company Behind Back2Classroom App?**

- **Seller:** [Aegean AI](https://www.g2.com/sellers/aegean-ai)
- **Year Founded:** 2020
- **HQ Location:** Randolph, US
- **LinkedIn® Page:** https://www.linkedin.com/company/aegean-ai (1 employees on LinkedIn®)






### 6. [Badu Networks WarpVM Cloud Network Optimization - 2Gbps](https://www.g2.com/products/badu-networks-warpvm-cloud-network-optimization-2gbps/reviews)
WarpVM™ by Badu Networks is a cloud network optimization solution designed to enhance AWS application performance by mitigating the adverse effects of virtualization-induced jitter. By leveraging Badu Networks&#39; patented WarpEngine™ technology, WarpVM boosts cloud network throughput and application performance by 2x to 10x, all while avoiding the need for costly EC2 and network upgrades. This single-ended, VM-based transparent proxy installs entirely within AWS environments, requiring no modifications to client or server applications, and operates without additional hardware or software. Key Features and Functionality: - Significant Performance Enhancement: Achieves up to 80% improvement in cloud network throughput under normal conditions and 2x to 10x in high-traffic scenarios. - Cost Efficiency: Delivers performance gains at a fraction of the cost associated with traditional EC2 and network upgrades. - Seamless Deployment: Deploys as a virtual machine within AWS, Google Cloud, Microsoft Azure, VMware, or KVM environments, with installation completed in minutes. - Non-Intrusive Integration: Operates without requiring changes to existing client or server applications, ensuring minimal disruption to current workflows. - Versatile Use Cases: Ideal for enterprises and SMBs utilizing public or private cloud applications, hybrid cloud deployments, SaaS performance enhancement, content delivery networks, eCommerce platforms, live streaming services, cloud migration projects, and cloud service providers aiming to improve edge performance cost-effectively. Primary Value and Problem Solved: WarpVM addresses the common challenge of degraded cloud application performance due to virtualization-induced jitter and network congestion. By eliminating the impact of jitter, WarpVM ensures optimal utilization of existing cloud infrastructure, thereby enhancing application responsiveness and user experience. This solution enables organizations to achieve substantial performance improvements without the financial and operational burdens associated with traditional hardware or network upgrades.



**Who Is the Company Behind Badu Networks WarpVM Cloud Network Optimization - 2Gbps?**

- **Seller:** [Badu Networks](https://www.g2.com/sellers/badu-networks)
- **Year Founded:** 2012
- **HQ Location:** Irvine, US
- **LinkedIn® Page:** https://www.linkedin.com/company/badu-networks (14 employees on LinkedIn®)






### 7. [BAGISTO ECOMMERCE: e-commerce](https://www.g2.com/products/bagisto-ecommerce-e-commerce/reviews)
Bagisto e-commerce is capable of forming a marketplace that allows other vendors to sell their products with ease.



**Who Is the Company Behind BAGISTO ECOMMERCE: e-commerce?**

- **Seller:** [Connect-i Sàrl](https://www.g2.com/sellers/connect-i-sarl)
- **Year Founded:** 2008
- **HQ Location:** Préverenges, CH
- **Twitter:** @Opigno (633 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/connect-i (17 employees on LinkedIn®)






### 8. [Banking Customer Churn Prediction](https://www.g2.com/products/banking-customer-churn-prediction/reviews)
Customer churn refers to the loss of existing clients or customers. This solution identifies bank customers who are more likely to close their account and leave the bank. During the training stage, the solution automatically conducts feature interaction on the training data and selects a subset of features based on feature importance. It then trains multiple models and identifies the best performing model. This model is then selected for prediction on new data.



**Who Is the Company Behind Banking Customer Churn Prediction?**

- **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®)






### 9. [BaseKB Gold Ultimate](https://www.g2.com/products/basekb-gold-ultimate/reviews)
BaseKB Gold Ultimate is a comprehensive dataset derived from Freebase, designed to provide a structured and reliable knowledge base for various applications. It offers a vast collection of entities and relationships, enabling developers and data scientists to enhance their projects with rich, interconnected information. Key Features and Functionality: - Extensive Dataset: Contains a wide array of entities and relationships sourced from Freebase, covering diverse domains. - Structured Data: Provides well-organized information, facilitating easy integration into various applications. - Regular Updates: Ensures data accuracy and relevance through consistent updates. - Compatibility: Designed to work seamlessly with different platforms and tools, enhancing versatility. Primary Value and Problem Solved: BaseKB Gold Ultimate addresses the challenge of accessing and utilizing a comprehensive, structured knowledge base. By offering an extensive dataset with well-organized entities and relationships, it empowers developers and data scientists to enrich their applications with reliable information, thereby improving functionality and user experience.



**Who Is the Company Behind BaseKB Gold Ultimate?**

- **Seller:** [Ontology2](https://www.g2.com/sellers/ontology2)
- **HQ Location:** Brooktondale, US
- **LinkedIn® Page:** https://www.linkedin.com/company/ontology2 (1 employees on LinkedIn®)






### 10. [BayesForge v2.0](https://www.g2.com/products/bayesforge-v2-0/reviews)
BayesForge™ v2.0 is a comprehensive Linux machine image tailored for data scientists and computational mathematicians seeking advanced analytical tools and quantum computing capabilities. It integrates leading open-source software, including machine learning frameworks like PyTorch and TensorFlow, with quantum computing platforms from D-Wave, Rigetti, IBM Quantum Experience, and Google&#39;s Cirq. Additionally, it features proprietary tools such as Quantum Fog and the Qubiter quantum compiler, all accessible through the Jupyter WebUI, supporting coding in Python, R, and Octave. Key Features and Functionality: - Integrated Machine Learning Frameworks: Pre-installed with PyTorch and TensorFlow for robust machine learning applications. - Quantum Computing Support: Compatible with major quantum computing platforms, including D-Wave, Rigetti, IBM Quantum Experience, and Google&#39;s Cirq. - Proprietary Quantum Tools: Includes Quantum Fog for modeling quantum systems and Qubiter for quantum circuit compilation across various architectures. - Multi-Language Support: Facilitates development in Python, R, and Octave through the Jupyter WebUI. - Comprehensive Software Suite: Features a full Anaconda Python 3.6 installation, the latest R distribution with modules like PyMC and bnlearn, and a complete Octave setup for Bayesian network analysis. Primary Value and User Solutions: BayesForge v2.0 addresses the need for a unified, ready-to-use environment that combines classical machine learning with quantum computing resources. By offering a curated selection of open-source tools within a single Linux image, it streamlines the setup process, allowing researchers and practitioners to focus on developing and deploying advanced analytical models without the overhead of configuring multiple software packages. This integration facilitates seamless experimentation and innovation in both classical and quantum domains, accelerating the adoption and application of quantum computing in data science.



**Who Is the Company Behind BayesForge v2.0?**

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






### 11. [BCB Blockchain Observer Node](https://www.g2.com/products/bcb-blockchain-observer-node/reviews)
The BCB Blockchain Observer Node is a pivotal component of the BCB Blockchain ecosystem, designed to enhance the development of smart city solutions. Built on the Tendermint framework, it ensures immediate authentication and prevents forking, thereby bolstering the efficiency and security of business operations. Developed in Golang, the node employs a PBFT-DPOS consensus algorithm for swift information dissemination and block consensus. It supports Ethereum&#39;s EVM and utilizes Docker containers for smart contract execution, facilitating seamless development using Solidity and Golang. Key Features and Functionality: - Immediate Authentication: Ensures rapid verification processes, enhancing transaction speed and reliability. - Fork Prevention: Maintains blockchain integrity by preventing chain splits. - PBFT-DPOS Consensus Algorithm: Combines Practical Byzantine Fault Tolerance with Delegated Proof of Stake for efficient consensus. - EVM Compatibility: Supports Ethereum Virtual Machine, allowing for the execution of Ethereum-based smart contracts. - Docker Integration: Utilizes Docker containers for flexible and isolated smart contract operations. Primary Value and User Solutions: The BCB Blockchain Observer Node addresses the need for a robust and efficient blockchain infrastructure tailored for smart city applications. By providing immediate authentication and preventing forking, it ensures the reliability and security essential for urban development projects. Its compatibility with Ethereum&#39;s EVM and support for Docker containers offer developers a versatile platform for creating and deploying smart contracts, streamlining the development process and fostering innovation in smart city solutions.



**Who Is the Company Behind BCB Blockchain Observer Node?**

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






### 12. [BeeGFS](https://www.g2.com/products/beegfs/reviews)
BeeGFS is a high-performance parallel file system developed by ThinkParQ, designed to meet the demanding storage requirements of environments such as High-Performance Computing , Artificial Intelligence , Machine Learning , Media &amp; Entertainment, Life Sciences, and Oil &amp; Gas. Emphasizing scalability, flexibility, and robustness, BeeGFS enables seamless expansion of storage capacity and performance by distributing file contents and metadata across multiple servers. Its user-friendly design ensures straightforward installation and management, making it accessible for a wide range of applications. Key Features and Functionality: - Distributed Architecture: BeeGFS distributes both file contents and metadata across multiple servers, eliminating bottlenecks and enhancing performance. - Scalability: The system allows for linear scalability, enabling users to increase storage capacity and performance seamlessly by adding more servers and disks. - High Throughput: BeeGFS delivers exceptional client throughput, achieving up to 8 GB/s with a single process on a 100 GBit network, and can fully saturate network bandwidth with multiple streams. - Flexibility: It supports various Linux distributions and kernels, and can run on top of existing local file systems like XFS or ZFS, providing adaptability to different infrastructures. - High Availability: The Enterprise Edition offers features such as metadata and file content mirroring, quota enforcement, and storage pools, ensuring continuous operation and data integrity. Primary Value and User Solutions: BeeGFS addresses the critical need for high-performance, scalable, and reliable storage solutions in data-intensive environments. By distributing data and metadata, it eliminates single points of failure and performance bottlenecks, ensuring efficient data access and management. Its ease of deployment and integration with existing infrastructures reduce administrative overhead, allowing organizations to focus on their core computational tasks. The system&#39;s flexibility and robustness make it an ideal choice for industries requiring rapid data processing and analysis, ultimately enhancing productivity and enabling new data-driven methodologies.


**Average Rating:** 3.5/5.0
**Total Reviews:** 1
**How Do G2 Users Rate BeeGFS?**

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.7/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.5/10)
- **Ease of Admin:** 6.7/10 (Category avg: 8.6/10)
- **Ease of Use:** 10.0/10 (Category avg: 8.7/10)

**Who Is the Company Behind BeeGFS?**

- **Seller:** [ThinkParQ](https://www.g2.com/sellers/thinkparq)
- **Year Founded:** 2014
- **HQ Location:** Kaiserslautern, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/10100426/ (17 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Small-Business




#### What Are G2 Users Discussing About BeeGFS?

- [What is BeeGFS used for?](https://www.g2.com/discussions/what-is-beegfs-used-for)

### 13. [BeeGFS - Free (Community Support)](https://www.g2.com/products/beegfs-free-community-support/reviews)
BeeGFS is a high-performance, hardware-independent parallel file system designed to meet the demands of performance-driven environments such as High-Performance Computing , Artificial Intelligence , Machine Learning , Media &amp; Entertainment, Life Sciences, and Oil &amp; Gas. Developed by ThinkParQ, BeeGFS offers scalable, high-throughput access to file storage systems, ensuring optimal performance and flexibility. Key Features and Functionality: - Distributed File Contents and Metadata: BeeGFS avoids architectural bottlenecks by distributing file contents across multiple storage servers and metadata across multiple metadata servers, enhancing scalability and performance. - High Scalability: The system allows for the addition of servers and disks without downtime, enabling linear scalability to meet growing data demands. - Flexibility: BeeGFS supports various Linux distributions and kernels, and runs on any Linux machine, providing flexibility in deployment. - Ease of Use: With simple installation and management, BeeGFS is designed for ease of use, featuring a graphical administration and monitoring system for efficient system management. Primary Value and User Solutions: BeeGFS addresses the challenges of managing large-scale, data-intensive workloads by providing a scalable and high-performance storage solution. Its distributed architecture ensures that both file contents and metadata are efficiently managed, preventing bottlenecks and enabling seamless expansion as data needs grow. This makes BeeGFS particularly valuable for organizations requiring robust and flexible storage systems to support complex computational tasks and large datasets.



**Who Is the Company Behind BeeGFS - Free (Community Support)?**

- **Seller:** [ThinkParQ](https://www.g2.com/sellers/thinkparq)
- **Year Founded:** 2014
- **HQ Location:** Kaiserslautern, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/10100426/ (17 employees on LinkedIn®)






### 14. [Behavior Scorecard](https://www.g2.com/products/behavior-scorecard/reviews)
Behavior Scorecard monitors risk after onboarding.



**Who Is the Company Behind Behavior Scorecard?**

- **Seller:** [ElectrifAi](https://www.g2.com/sellers/electrifai-6f99f1b0-33e0-489e-acf4-a875e256745d)
- **Year Founded:** 2004
- **HQ Location:** Jersey City, US
- **LinkedIn® Page:** https://www.linkedin.com/company/electrifai (65 employees on LinkedIn®)






### 15. [Benchy](https://www.g2.com/products/benchy/reviews)
Benchy is a versatile benchmarking tool designed to evaluate and optimize the performance of AI and machine learning models. It provides real-time dashboards, seamless dataset management, and supports various databases, including RedisDB and YCSB. Benchy enables developers and researchers to assess efficiency, accuracy, and scalability, facilitating informed decisions to enhance AI applications. Key Features and Functionality: - Real-Time Dashboards: Offers immediate insights into model performance metrics. - Dataset Management: Simplifies the organization and handling of datasets. - Database Support: Compatible with multiple databases, such as RedisDB and YCSB. - Performance Evaluation: Assesses efficiency, accuracy, and scalability of AI models. Primary Value and User Solutions: Benchy addresses the need for comprehensive performance evaluation in AI development. By providing real-time analytics and robust dataset management, it empowers users to identify bottlenecks, optimize model performance, and ensure scalability, ultimately leading to more efficient and reliable AI applications.



**Who Is the Company Behind Benchy?**

- **Seller:** [sensor.live - IoT Platform SaaS](https://www.g2.com/sellers/sensor-live-iot-platform-saas)
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 16. [BERT Base Cased PyTorch Hub Extractive Question Answering](https://www.g2.com/products/bert-base-cased-pytorch-hub-extractive-question-answering/reviews)
This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface\_pytorch-transformers/ ). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings.



**Who Is the Company Behind BERT Base Cased PyTorch Hub Extractive Question Answering?**

- **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






### 17. [BERT Base MEDLINE/PubMed](https://www.g2.com/products/bert-base-medline-pubmed/reviews)
It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on MEDLINE/PubMed returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.



**Who Is the Company Behind BERT Base MEDLINE/PubMed?**

- **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






### 18. [BERT Base Multilingual Uncased](https://www.g2.com/products/bert-base-multilingual-uncased/reviews)
This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub



**Who Is the Company Behind BERT Base Multilingual Uncased?**

- **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






### 19. [BERT Base Uncased PyTorch Hub Extractive Question Answering](https://www.g2.com/products/bert-base-uncased-pytorch-hub-extractive-question-answering/reviews)
This is a Extractive Question Answering model from PyTorch Hub



**Who Is the Company Behind BERT Base Uncased PyTorch Hub Extractive Question Answering?**

- **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






### 20. [BERT Base Uncased PyTorch Hub Sentence Pair Classification](https://www.g2.com/products/bert-base-uncased-pytorch-hub-sentence-pair-classification/reviews)
This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface\_pytorch-transformers/ ). It takes a pair of sentences as input and classifies the input pair to &#39;entailment&#39; or &#39;no-entailment&#39;. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the entire model on [QNLI](https://rajpurkar.github.io/SQuAD-explorer/ ) dataset.



**Who Is the Company Behind BERT Base Uncased PyTorch Hub Sentence Pair Classification?**

- **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






### 21. [BERT Base Wikipedia and BooksCorpus](https://www.g2.com/products/bert-base-wikipedia-and-bookscorpus/reviews)
It takes a pair of sentences as input and classifies the input pair to &#39;entailment&#39; or &#39;no-entailment&#39;. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the input pair of sentences. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.



**Who Is the Company Behind BERT Base Wikipedia and BooksCorpus?**

- **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






### 22. [BERT Large Cased](https://www.g2.com/products/bert-large-cased/reviews)
It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.



**Who Is the Company Behind BERT Large Cased?**

- **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






### 23. [BERT Large Cased PyTorch Hub Sentence Pair Classification](https://www.g2.com/products/bert-large-cased-pytorch-hub-sentence-pair-classification/reviews)
This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub



**Who Is the Company Behind BERT Large Cased PyTorch Hub Sentence Pair Classification?**

- **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






### 24. [BERT Large Cased Whole Word Masking SQuAD](https://www.g2.com/products/bert-large-cased-whole-word-masking-squad/reviews)
It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.



**Who Is the Company Behind BERT Large Cased Whole Word Masking SQuAD?**

- **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






### 25. [BERT Large Uncased](https://www.g2.com/products/bert-large-uncased/reviews)
It takes a pair of sentences as input and classifies the input pair to &#39;entailment&#39; or &#39;no-entailment&#39;. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the entire model on [QNLI](https://rajpurkar.github.io/SQuAD-explorer/ ) dataset. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.



**Who Is the Company Behind BERT Large Uncased?**

- **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







## What Is AWS Marketplace Software?

[Marketplace Apps](https://www.g2.com/categories/marketplace-apps)

## What Software Categories Are Similar to AWS Marketplace Software?

- [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm)
- [ServiceNow Marketplace Apps](https://www.g2.com/categories/servicenow-store-apps)
- [Cloud Workload Protection Platforms](https://www.g2.com/categories/cloud-workload-protection-platforms)
- [Cloud Infrastructure Monitoring  Software](https://www.g2.com/categories/cloud-infrastructure-monitoring)



