Awesome GitHub RepositoriesSQL Data Modeling

This project is a business intelligence suite and SQL data visualization platform used for data analysis, reporting, and monitoring. It provides a web application for exploring datasets and building interactive dashboards, complemented by a web-based SQL query editor for analyzing raw data from connected stores. The platform features a semantic data layer to define standardized metrics and dimensions, ensuring consistent data interpretation across reports. It includes a security framework with role-based access control to manage user permissions and authentication across shared dashboards. T

Drizzle ORM is a TypeScript-native database toolkit providing type-safe SQL query building, schema management, and automated migrations across PostgreSQL, MySQL, SQLite, and SingleStore.

Redash is a self-hosted analytics platform and SQL data visualization tool. It provides a web-based SQL query editor for writing, executing, and scheduling database queries, and functions as a business intelligence dashboard for monitoring metrics via visual widgets. The platform distinguishes itself through its data source connectors, which integrate with various SQL, NoSQL, and API-based stores to retrieve information for analysis. It enables self-service analytics by allowing users to run queries with dynamic parameters and supports shared data reporting via public links or embedded dashbo

Prisma is a type-safe database object-relational mapper that uses a declarative schema to map data models to relational and document databases. It provides a unified toolkit for data access, combining a database driver with tools for schema management and record manipulation. The project features a multi-database driver that standardizes interactions across PostgreSQL, MySQL, and MongoDB. It includes a system for tracking and applying structural schema migrations across different environments and a graphical user interface for browsing and editing database records. The system ensures data in

dbt-core is a command-line framework for transforming data within a warehouse using modular SQL and version control. It functions as a data transformation engine that enables users to define data structures and business logic through declarative configuration files, which the system then compiles into executable code. By managing complex data dependencies through a directed acyclic graph, it ensures that transformation tasks execute in the correct order while maintaining a manifest-driven state to track lineage and execution history. The project distinguishes itself through an adapter-based d

Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer

GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

DBML is a domain-specific language and schema definition language used for documenting database architecture and design. It provides a human-readable text format for defining database tables, columns, and relationships in a standardized way. The project functions as a relational schema parser and SQL schema generator. It transforms declarative design specifications into an abstract syntax tree for programmatic manipulation and converts these definitions into executable SQL statements across various database dialects. The system covers relational data modeling, database schema design, and arc