This is a repackaged open-source software product wherein additional charges apply for the pre-configured Vue.js 1-click and Apache2, MySQL,NodeJS, PHP, phpMyAdmin, Webmin which includes support by Terracloudx.
Apache OpenOffice Base is a comprehensive desktop database management system designed to cater to a wide range of users, from individuals managing personal collections to businesses generating detailed reports. It provides an intuitive interface for creating and managing databases, making it accessible for both beginners and experienced users. Key Features and Functionality: - User-Friendly Wizards: Assists users in creating tables, queries, forms, and reports, simplifying the database design
Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizat
WampServer is a comprehensive Windows-based web development environment that enables developers to create dynamic web applications using Apache, PHP, and MySQL. It also includes phpMyAdmin for efficient database management. Designed for ease of use, WampServer allows users to set up a local server environment without the need to modify configuration files manually. Key Features and Functionality: - Apache Web Server: Serves web pages and processes PHP scripts, facilitating local development an
Databand is an observability platform for data engineering teams. Data engineering teams are responsible for managing a wide suite of powerful tools, but lack the utilities they need to make sure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully, and keep tabs on resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into too
IBM watsonx.data is a hybrid, open data lakehouse platform designed to unify and manage enterprise data across diverse environments—cloud, on-premises, or hybrid—to support AI and analytics workloads. It combines the scalability of data lakes with the performance of data warehouses, offering a centralized solution for organizations aiming to harness their data for AI-driven insights. Key Features and Functionality: - Unified Data Access: Provides a single point of entry to access and manage s
With Apicheck's Postcode API, users can automatically fill in missing information and ensure that the address they have entered is accurate and up-to-date. This service is particularly useful for businesses that frequently handle customer orders, as it can help to streamline their address verification process, minimize errors, and ultimately improve their overall customer experience.
Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part.
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems. Key Features and Functionality: - Extensive Connectivity:
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspa
To respond to business demands quickly and efficiently, you need a way to integrate applications and data spread across your enterprise. Red Hat AMQ—based on open source communities like Apache ActiveMQ and Apache Kafka—is a flexible messaging platform that delivers information reliably, enabling real-time integration and connecting the Internet of Things (IoT).
Amazon Inferentia is a machine learning inference chip designed to deliver high performance at low cost. AWS Inferentia will support the TensorFlow, Apache MXNet, and PyTorch deep learning frameworks, as well as models that use the ONNX format.
Apache Mahout is a software that build an environment for quickly creating scalable performant machine learning applications, it provides three major features: A simple and extensible programming environment and framework for building scalable algorithms, A wide variety of premade algorithms for Scala + Apache Spark, H2O, Apache Flink and Samsara, a vector math experimentation environment with R-like syntax which works at scale
ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.
XAMPP on Windows 2019 WAMP Server is a comprehensive web development platform that simplifies the setup of a local web server environment. It integrates essential components such as Apache, MariaDB, PHP, Perl, PhpMyAdmin, FTP, and Tomcat, all pre-configured and optimized for performance. This solution is ideal for developers seeking an efficient and hassle-free method to develop, test, and deploy web applications on a Windows Server 2019 environment. Key Features and Functionality: - Apache We
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Developm
Mistral-7B-v0.1 is a small, yet powerful model adaptable to many use-cases. Mistral 7B is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. It’s released under Apache 2.0 licence, and we made it easy to deploy on any cloud.