Awesome GitHub RepositoriesExternal Table Querying

DataEase is an open-source, self-hosted business intelligence platform designed for building interactive data visualizations and managing analytical reporting. It provides a centralized environment where users can construct dashboards through a drag-and-drop interface, connecting to diverse data sources including relational databases, data warehouses, and external APIs. The platform distinguishes itself through its focus on embedded analytics and enterprise-grade governance. It allows for the seamless integration of charts, dashboards, and management modules into third-party web applications

Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing

Entity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context. The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a

StarRocks is a distributed SQL OLAP database engine designed for real-time analytics and high-performance multi-dimensional analysis. It functions as a data lakehouse query engine that enables SQL execution across large datasets and external open table formats without requiring local data imports. The system employs a shared-nothing distributed architecture and utilizes the MySQL protocol to integrate with business intelligence tools. It maintains real-time data consistency through a primary key upsert model and accelerates query response times using vectorized execution and cost-based optimi

SQLAlchemy is a comprehensive Python SQL toolkit and object-relational mapper that provides a full suite of tools for interacting with relational databases. It serves as a foundational layer for database connectivity, offering both a high-level object-oriented interface for data persistence and a programmatic SQL expression language for constructing complex, dialect-agnostic queries. The project distinguishes itself through its sophisticated unit of work persistence, which coordinates atomic transactions and tracks object state changes to minimize redundant database operations. It provides a

Falcor is a JavaScript library that models remote data as a single virtual JSON graph, providing a path-based query engine for efficient client-side data retrieval and updates. It represents multiple remote data sources as a unified document where entities are accessed via globally unique identity paths. The system distinguishes itself by treating the remote data model as a virtual JSON resource, allowing the client to query specific paths without managing individual endpoints. It uses a reference-aware graph model to handle many-to-many relationships and prevents data duplication. Network ef

RisingWave is a cloud-native streaming database and real-time analytics engine that uses standard SQL to process continuous data streams. It functions as a streaming data lakehouse, combining the capabilities of a streaming SQL database with a platform that integrates streaming ingestion with open table formats. The system is distinguished by its use of the PostgreSQL wire protocol, allowing it to integrate with existing SQL tools and drivers. It employs a decoupled compute and storage architecture, persisting streaming state and materialized views in cloud object storage to enable independen

Delta is a lakehouse table format that brings ACID transactions and data warehouse consistency to large scale data lakes on cloud object storage. It serves as an ACID transaction manager, coordinating atomic commits and serializable isolation for concurrent reads and writes across distributed compute engines. The project provides a multi-engine interoperability layer that uses format translation to allow diverse SQL engines and processing frameworks to read and write the same tables. It functions as a data versioning system, utilizing a transaction log to enable time travel, historical snapsh

AlaSQL is a JavaScript SQL database engine that allows for the filtering, grouping, and joining of in-memory object arrays and JSON data. It functions as an in-memory SQL database and client-side data processor, enabling the execution of SQL statements against JavaScript arrays and external data sources in both browser and server environments. The project serves as a universal data query tool capable of performing relational joins across diverse sources, such as merging Google Spreadsheets, SQLite files, and remote APIs into a single result set. It also acts as an IndexedDB SQL wrapper, allow

Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma

Apache Zeppelin is a web-based notebook platform for interactive data analytics that supports executing code in over 20 languages within a single notebook. It provides a plugin-based interpreter architecture that allows the notebook to be extended with new languages and data sources, and includes a JDBC connector abstraction for connecting to any JDBC-compliant database. The platform also features session-isolated interpreter contexts, enabling separate interpreter instances per notebook or user with support for dependency injection and user impersonation. The platform distinguishes itself th

jOOQ is a type-safe SQL query builder for Java that generates code from live database schemas, enabling compile-time validation of SQL syntax and data types. Its core identity is built around a fluent DSL that mirrors SQL structure, a code generator that maps tables, views, and routines to Java objects, and a multi-dialect engine that translates the same DSL into vendor-specific SQL for over 30 databases. The project also includes a SQL parser and transformer for refactoring or dialect conversion, reactive stream integration for non-blocking query execution, and a JDBC proxy diagnostics tool f

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

Materialize is a streaming SQL database that continuously ingests live data from sources such as Kafka, Redpanda, PostgreSQL, and MySQL, and incrementally maintains materialized views. It provides a PostgreSQL-compatible query engine that accepts standard SQL over the PostgreSQL wire protocol, enabling any existing SQL client or BI tool to query real-time data. The system also includes a Model Context Protocol (MCP) server that exposes live materialized view data to AI agents, providing fresh context without polling. Materialize distinguishes itself through its ability to offer configurable c

Apache Hive is a SQL-on-Hadoop data warehouse that enables querying and managing petabytes of data stored in distributed storage such as HDFS and cloud storage services. It provides a familiar SQL interface for batch analytics and reporting, supported by a core set of components including the HiveServer2 Thrift service for remote query execution, the Hive Metastore Service for central metadata management, the Hive ACID Transaction Engine for concurrent read-write operations, and the Hive LLAP Interactive Engine for low-latency analytical processing. The WebHCat REST API offers an HTTP interfac

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

Orange3 is a visual data mining platform that provides an interactive canvas for building data analysis workflows without writing code. At its core, it offers a widget-based visual programming environment where users connect configurable components to perform data preprocessing, machine learning model training, statistical evaluation, and interactive visualization. The platform is built on NumPy-backed data tables with domain descriptors that define variable names, types, and roles, and includes a lazy SQL query proxy for working with database tables without loading all data into memory. The

Liquibase es una herramienta de gestión de cambios de esquema de base de datos y sistema de control de versiones diseñado para rastrear, gestionar y aplicar modificaciones de base de datos versionadas. Funciona como un framework de migración SQL y utilidad de automatización DevOps que integra despliegues de base de datos en pipelines de entrega continua y cadenas de herramientas de construcción. El sistema permite reversiones precisas y detección de deriva (drift) registrando cada modificación realizada en un esquema de base de datos. Admite la definición de cambios de base de datos mediante conjuntos de cambios estructurados en XML, YAML o JSON, así como scripts SQL sin procesar, para garantizar despliegues consistentes en diversos motores de bases de datos relacionales. El proyecto cubre una amplia gama de capacidades de ciclo de vida de esquema, incluyendo la generación de líneas base para bases de datos existentes, organización jerárquica de registros de cambios y el uso de etiquetas y contextos para apuntar a entornos específicos. También proporciona mecanismos para la extensibilidad del motor de base de datos mediante plugins externos.

Octosql es un motor de consultas SQL federado, transformador de datos y procesador de SQL en streaming. Permite a los usuarios ejecutar sentencias SQL únicas a través de múltiples fuentes de datos dispares, incluyendo diferentes tipos de bases de datos y formatos de archivo, para combinar y transformar resultados en un conjunto unificado. El sistema se distingue por tratar archivos CSV, JSONLines y Parquet como tablas virtuales y utilizar una arquitectura basada en plugins para extender la conectividad a motores de almacenamiento externos. Funciona como un procesador de streaming para flujos de datos infinitos, utilizando marcas de agua (watermarks), retracciones y ventanas deslizantes (tumbling windows) para mantener la consistencia en eventos fuera de orden. Además, sirve como generador de datos SQL capaz de producir conjuntos de datos sintéticos y flujos de registros mediante funciones con valores de tabla. El motor incluye capacidades para realizar joins entre fuentes de datos y análisis multi-fuente, optimizado mediante el push-down de predicados en el lado de la fuente para reducir la transferencia de datos. Gestiona datos complejos a través de un sistema de tipos estáticos con tipos unión y proporciona observabilidad mediante la visualización de planes de ejecución de consultas.

Davinci es una plataforma de inteligencia de negocios y visualización de datos utilizada para construir dashboards e informes interactivos. Funciona como un constructor de dashboards basado en SQL y un servicio de analítica multi-tenant que se conecta a bases de datos mediante JDBC y archivos CSV para transformar datos crudos en componentes visuales. La plataforma se distingue por su modelo de seguridad granular, que incluye permisos a nivel de fila y columna integrados con autenticación LDAP y OAuth2. También proporciona una herramienta de visualización embebida que permite insertar gráficos y dashboards parametrizados y seguros en aplicaciones externas mediante URLs y frames. El sistema cubre una amplia gama de capacidades, incluyendo modelado de datos con plantillas SQL, un motor de diseño drag-and-drop para dashboards responsivos y una amplia variedad de tipos de visualización como diagramas de Sankey, gráficos de radar y mapas geográficos. Incluye además automatización para programar informes por correo electrónico y utiliza caché de clave-valor para optimizar el rendimiento de las consultas.