Best AWS Marketplace Software - Page 147

Splunk Advanced Health Check

LCN's Splunk Health Check provides customers with the option of license, hardware, versioning, application, data modeling, and security diagnostics of their Splunk environment. The Splunk Health Check will be executed by a certified Splunk architect who provides a full report including feedback and consultation of the customers' Splunk environment. Customers can take advantage of the services that are available under the program to meet their ongoing technical support and consulting needs.

Splunk Intermediate Health Check

This service is structured to provide the Customer with the option of license, hardware, versioning, application, data modeling, and security diagnostics on the Customers’ current Splunk environment. The Splunk Wellness and Health Check will be executed by a certified Splunk architect who provides a full report including feedback and consultation of the Customers’ Splunk environment.

Spot by NetApp Enterprise

Spot by NetApp is the 'easy button' for CloudOps teams. Predictive analytics and automation provides insights, guidance and advanced scaling for cloud infrastructure, continuously optimizing cost, utilization and availability of cloud compute resources. This eliminates the burden of manually managing infrastructure while delivering up to 90% savings.

Spot by NetApp PAYG

Spot by NetApp automates and continuously optimizes cloud compute infrastructure, helping companies reduce their compute costs by up to 90% while ensuring scalability and availability.

Spotfire Analytics

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility.

Average Rating: 4.2/5.0

Total Reviews: 328

Spree

Spree is an open-source e-commerce platform built with Ruby on Rails, designed to provide businesses with a flexible and scalable solution for creating and managing online stores. Its modular architecture allows for extensive customization, enabling users to tailor the platform to their specific needs. Spree supports multi-store and multi-vendor marketplaces, making it suitable for a wide range of e-commerce applications. Key Features and Functionality: - Storefront Customization: Easily customize your homepage, product listings, and product detail pages. Use the default storefront or connect your own frontend application. - Multi-Region & Multi-Store Support: Manage unlimited products and variants individually or in bulk. Categorize, label, and add custom attributes. Generate gift cards or discounts with a robust promo rule engine. - Inventory Management: Manage stock levels across sales channels and locations. Track stock movements, receive stock, and make transfers. Make products available or discontinued on a given date. - Cart & Checkout: Customize checkout to reflect your business logic. Style it to be on-brand. Manage shipping and tax calculations. Enable fast checkout with Apple Pay or Google Pay. - Payments & Refunds: Capture payments with cards, Apple Pay, Google Pay, Buy Now Pay Later , local bank transfers, and redirects. Use one or multiple payment processors. Automate refunds. - Order & Return Management: Manage orders via the admin dashboard or rely on automated order processing. Use order splitting by vendor in a dropshipping model. Support partial or full returns and exchanges. - Order Fulfillment: Manage shipping across regions and warehouses. Use any shipping provider or aggregator. Track shipments in real-time with email notifications for customers. - Emails & Marketing Automations: Customize on-brand email notifications for customers around any order-related events. Automate post-purchase upselling, such as abandoned cart emails or other scenarios. - API & Integrations: Connect Spree to any custom user interface, such as a Next.js storefront or a mobile app. Integrate Spree with any system using APIs or webhooks, such as WMS, ERP, or CRM. Primary Value and User Solutions: Spree empowers businesses to build and manage customized e-commerce solutions that align with their unique requirements. Its open-source nature and modular design provide the flexibility to adapt and scale as businesses grow. By offering comprehensive features like multi-store support, advanced inventory management, and seamless integrations, Spree addresses the complexities of modern e-commerce, enabling users to deliver exceptional shopping experiences to their customers.

Average Rating: 5.0/5.0

Total Reviews: 1

Spring Cloud Data Flow Shell Container Solution

The Bitnami Container Solution for Spring Cloud Data Flow Shell provides a secure, up-to-date, and customizable environment for interacting with the Spring Cloud Data Flow server. This tool facilitates the management and orchestration of data pipelines, enabling users to efficiently handle data processing tasks. Key Features and Functionality: - Secure and Up-to-Date: Bitnami ensures that the container is regularly updated and patched, maintaining a secure environment for data flow operations. - Customizable Deployment: The solution offers flexibility in configuration, allowing users to tailor the environment to their specific requirements. - Lightweight and Efficient: Designed with a minimal base image, the container is optimized for performance and resource efficiency. - Compatibility with AWS Services: The container can be deployed on Amazon Elastic Kubernetes Service (EKS and Amazon Elastic Container Service (ECS, providing seamless integration with AWS infrastructure. Primary Value and User Benefits: The Bitnami Container Solution for Spring Cloud Data Flow Shell simplifies the deployment and management of data pipelines by offering a ready-to-use, secure, and efficient environment. Users can focus on developing and orchestrating data processing tasks without the overhead of configuring and maintaining the underlying infrastructure. The solution's compatibility with AWS services ensures scalability and reliability, addressing the needs of organizations seeking robust data flow management capabilities.

Spring Cloud Skipper Container Solution

The Bitnami Container Solution for Spring Cloud Skipper Shell provides a secure, up-to-date, and customizable environment for managing the lifecycle of Spring Boot applications across multiple cloud platforms. Spring Cloud Skipper is a package manager that facilitates the installation, upgrading, and rollback of Spring Boot applications, enabling continuous deployment practices. This container solution offers a streamlined interface for interacting with the Spring Cloud Data Skipper server, ensuring efficient application management. Key Features and Functionality: - Secure and Up-to-Date: Bitnami ensures that the container is regularly updated and patched for vulnerabilities, providing a secure environment for application management. - Customizable Deployment: The solution is designed to be flexible, allowing users to configure and deploy applications according to their specific requirements. - Multi-Platform Support: Spring Cloud Skipper supports deployment on various platforms, including Local, Cloud Foundry, and Kubernetes, offering versatility in application management. - Package Management: Applications are bundled as packages containing templated configuration files and default values, which can be overridden during installation or upgrades. - Lifecycle Management: Skipper orchestrates the upgrade and rollback procedures of applications between different versions, taking the minimal set of actions to bring the system to the desired state. Primary Value and Problem Solved: The Bitnami Container Solution for Spring Cloud Skipper Shell addresses the complexities associated with managing the lifecycle of Spring Boot applications across diverse cloud environments. By providing a secure, customizable, and multi-platform tool, it simplifies the processes of application deployment, upgrading, and rollback. This solution enables organizations to implement continuous deployment practices effectively, reducing downtime and ensuring that applications are consistently up-to-date and secure.

SQL 2017 Enterprise on Windows 2019

Microsoft SQL Server 2017 Enterprise on Windows Server 2019 is a robust database solution designed for high-performance, mission-critical applications. This Amazon Machine Image (AMI) enables seamless deployment of SQL Server 2017 Enterprise Edition on Windows Server 2019 within the AWS environment, offering a reliable and secure platform for managing complex databases. Key Features and Functionality: - Pre-Configured AMI: The AMI is built, updated, and fully patched by AWS, ensuring a secure and up-to-date environment for SQL Server operations. - Integrated AWS Tools: Comes preinstalled with AWS Systems Manager, AWS CloudFormation, and AWS Tools for Windows PowerShell, facilitating efficient management and automation of database tasks. - High Availability Support: Supports deployment configurations that enhance availability and reliability, crucial for enterprise-level applications. - Scalability: Easily scalable to meet the demands of growing workloads, ensuring optimal performance as data requirements increase. Primary Value and User Solutions: This solution addresses the need for a dependable and scalable database platform capable of handling complex, mission-critical workloads. By leveraging AWS's infrastructure, users benefit from reduced total cost of ownership, enhanced performance, and a comprehensive set of tools for efficient database management. The integration with AWS services simplifies deployment and maintenance, allowing organizations to focus on their core business objectives without the overhead of managing on-premises hardware.

SQL Lens

SQL Lens is a lightweight, highly scalable, and platform-agnostic tool designed to automate the transformation of data from SQL databases into RDF1.1 or Labelled Property Graph CSV formats. It ensures full compatibility with Amazon Neptune and other common graph databases, facilitating seamless data integration and analysis. Key Features and Functionality: - Automated Data Transformation: Converts SQL database data into RDF1.1 or LPG CSV formats, streamlining the process of integrating relational data into graph structures. - Provenance Tracking: Includes provenance information by default, providing transparency and traceability of data transformations. - Semantic Web Standards Support: Adheres to W3C Semantic Web Standards, including RDF1.1 and SPARQL1.1, ensuring interoperability and compliance with industry norms. - Platform Agnostic: Designed to be lightweight and highly scalable, supporting various graph databases without being tied to a specific platform. Primary Value and User Solutions: SQL Lens addresses the challenge of integrating relational database data into graph-based systems by providing an automated, standards-compliant transformation process. This enables organizations to leverage the advantages of graph databases, such as enhanced data relationships and advanced analytics, without the need for manual data conversion. By supporting provenance tracking and adhering to established semantic web standards, SQL Lens ensures data integrity and facilitates seamless integration with existing systems, thereby accelerating the adoption of graph technologies in data-driven environments.

SQL Server Enterprise 2017 on Linux - Redhat 7.3

SQL Server Enterprise 2017 on Linux for Red Hat Enterprise Linux 7.3 is a robust, high-performance relational database management system designed to meet the demands of enterprise-level applications. This offering combines the advanced capabilities of SQL Server Enterprise Edition with the flexibility and security of the Linux operating system, providing a comprehensive solution for data management and analytics. Key Features and Functionality: - Cross-Platform Compatibility: Run SQL Server on both Windows and Linux platforms, ensuring seamless integration into diverse IT environments. - Advanced Security: Benefit from industry-leading security features, including encryption and compliance tools, to protect sensitive data. - High Availability and Disaster Recovery: Implement Always On availability groups to achieve high availability and robust disaster recovery solutions. - Performance Optimization: Utilize in-memory processing and advanced query optimization techniques to enhance performance for transactional and analytical workloads. - Comprehensive Data Integration: Leverage SQL Server Integration Services (SSIS to facilitate complex data integration and transformation tasks. Primary Value and User Solutions: This product addresses the need for a powerful, scalable, and secure database solution that operates seamlessly on Linux environments. By deploying SQL Server Enterprise 2017 on Red Hat Enterprise Linux 7.3, organizations can reduce licensing costs associated with Windows Server, achieve greater flexibility in their infrastructure choices, and maintain high performance and reliability for mission-critical applications. Additionally, the familiar SQL Server environment allows for a smooth transition for teams accustomed to Microsoft's database technologies, minimizing the learning curve and facilitating efficient database management and development.

SQL Server Migration: 2-Week Implementation

From on-premises SQL Server to secure and scalable Cloud Databases. Use this implementation to migrate legacy on-premises SQL Server to AWS RDS for SQL Server.

Squid

Squid-Cache is a caching proxy for the Web supporting HTTP, HTTPS, and FTP. It reduces bandwidth and improves response times by caching and reusing.

Average Rating: 4.1/5.0

Total Reviews: 16

Squid 3.5 Proxy Server for Ubuntu Server 20.04 LTS

This Squid 3.5 Proxy Server 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.

Squid 3.5 Proxy Server on CentOS 8

This a ready-to-run and pre-configured Squid 3.5 Proxy Server on CentOS 8 Image has a wide variety of uses, including speeding up a web server by caching repeated requests, caching web, DNS, and other computer network lookups for a group of people sharing network resources, and aiding security by filtering traffic.