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Settings for defining database connections and backend parameters.
Explore 6 awesome GitHub repositories matching data & databases · Database Configurations. Refine with filters or upvote what's useful.
Redis is an in-memory, key-value database designed to provide sub-millisecond latency for read and write operations. It functions as a versatile data platform, serving as a distributed cache, a message broker, a NoSQL document store, and a vector database. The system utilizes an event-driven, single-threaded loop to process requests efficiently, while maintaining data durability through append-only persistence logs and asynchronous snapshotting mechanisms. What distinguishes Redis is its ability to handle complex data structures—including strings, hashes, lists, sets, and sorted sets—alongsid
Configures persistence and reliability settings to ensure system stability when acting as a primary data source.
Superset is a web-based business intelligence platform designed for data exploration, visualization, and interactive dashboarding. It functions as a query-driven analytics engine that connects to various SQL databases, allowing users to perform ad-hoc analysis, define virtual metrics, and build complex data visualizations through a centralized interface. The platform distinguishes itself through a robust semantic layer that transforms raw database schemas into calculated columns and virtual metrics, enabling consistent business logic across an organization. It features a plugin-based visualiz
Configures production-grade database connections and backend parameters to store application metadata securely.
Appwrite is a backend-as-a-service platform that provides a unified development environment for building full-stack applications. It integrates essential infrastructure components—including authentication, databases, storage, and serverless functions—into a single, centralized interface to simplify application development and resource management. The platform distinguishes itself through a container-based microservices architecture that ensures consistent execution across diverse infrastructure. It features a versatile connectivity layer that links frontend applications with third-party servi
Configures backend database connections and parameters through environment variables to support flexible infrastructure setups.
all-in-one is a containerized deployment system designed to install and manage a complete suite of productivity and collaboration services. It functions as a cloud suite deployer that orchestrates the installation of a self-hosted content platform, incorporating necessary dependencies via Docker or Kubernetes. The project distinguishes itself by providing a web-based dashboard for orchestrating, updating, and monitoring the lifecycle of service containers. It also serves as a local AI inference server, enabling the execution of generative text models, image diffusion, and speech processing on
Allows adjustment of database connections and backend parameters to optimize performance.
Spring PetClinic is a reference application for the Spring Framework, serving as a complete implementation that demonstrates the architecture and best practices for building Java services. It functions as a veterinary practice management system designed to track pet owners, animal records, and clinical visit histories. The project provides a practical example of a containerized web application, illustrating how to integrate a Java application with relational databases like MySQL and PostgreSQL. It serves as a guide for learning how to develop an application using the model-view-controller pat
Allows configuration of different database backends through application settings.
Pigsty is a full-stack orchestration suite for deploying, monitoring, and managing high-availability PostgreSQL clusters and their supporting infrastructure. It functions as a cluster management platform and high-availability suite that automates failover, manages virtual IPs, and ensures data consistency through distributed consensus. The project distinguishes itself by providing a comprehensive database infrastructure-as-code framework and a dedicated observability stack. It incorporates a backup and recovery manager supporting point-in-time recovery via S3-compatible object storage, alongs
Configures database-level parameters that apply to all sessions connecting to a specific database.