4 repos
Architectural layers that provide database-agnostic interfaces to support multiple storage engines within a single application.
Explore 4 awesome GitHub repositories matching data & databases · Database Abstraction Layers. Refine with filters or upvote what's useful.
n8n is a workflow automation platform that combines a visual interface with code-based extensibility to design, orchestrate, and manage automated processes. It provides a comprehensive suite of tools for data transformation, filtering, and storage, allowing users to build complex logic through conditional branching, lo
Abstracts database interactions to support multiple storage engines while simplifying schema migrations and query management.
Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking an
Normalizes disparate time-series data from multiple backends into a unified query format for seamless analysis.
This project is a privacy-first backend service designed to facilitate retrieval-augmented generation by processing local documents into searchable vector representations. It provides a modular architecture that allows users to ingest diverse file formats, manage document metadata, and perform semantic searches to prov
Unifies access to multiple storage backends, including local disk and specialized vector databases, through a modular interface layer.
Memos is a self-hosted, container-native knowledge management platform designed for capturing and organizing personal notes. It functions as a private workspace where users can create content using markdown, tags, and media embeds to streamline daily productivity. The system is built to be deployed as a portable servic
Abstract storage operations to support multiple database engines including SQLite, PostgreSQL, and MySQL for flexible data persistence.