8 repository-uri
Executes SQL queries and returns results through a REST API endpoint.
Distinct from REST APIs: Distinct from REST APIs: focuses on executing SQL queries via REST rather than general CRUD operations.
Explore 8 awesome GitHub repositories matching development tools & productivity · SQL Query Executions. Refine with filters or upvote what's useful.
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
Submits SQL queries to the cluster through programmatic interfaces to retrieve analytical results without dedicated client libraries.
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
Provides a REST endpoint for executing Hive queries and returning results.
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
Accepts SQL statements over HTTP and returns query results as structured JSON.
CodeIgniter is a PHP web framework built on the Model-View-Controller pattern, designed for building full-stack web applications. It provides a lightweight toolkit with minimal configuration, organizing application logic into controllers, models, and views for clean separation of concerns. The framework includes a fluent query builder for constructing SQL statements programmatically, PSR-4 autoloading with namespace mapping, and a service-based dependency injection container for managing shared class instances. The framework distinguishes itself through its comprehensive set of built-in tools
Executes raw SQL queries directly against the database and returns result objects or success booleans.
AliSQL is a fork of MySQL by Alibaba that extends the relational database management system with enhancements for high performance, scalability, and enterprise-grade availability. It retains the core MySQL identity as a SQL-based database for storing, organizing, and retrieving structured data, while adding optimizations for large-scale transactional and analytical workloads. The project differentiates itself through a set of Alibaba-specific improvements, including a columnar engine for accelerating analytical queries directly on MySQL tables, and a distributed, shared-nothing NDB Cluster en
Executes traditional SQL statements against MySQL Server from C or C++ code.
OpenAgents is an open-source platform for deploying, managing, and interacting with language agents through a conversational interface. Agents on this platform can analyze data by generating and executing Python and SQL code, invoke external plugins, browse the web autonomously, and perform tasks like flight search, map directions, and social media posting—all driven by natural language. What distinguishes the platform is its architecture for persistent agent lifecycle management, isolated code execution via a sandbox, multi-agent coordination for complex workflows, and automatic plugin disco
This conversational AI platform runs SQL queries against uploaded tables or datasets to retrieve or filter data.
PostgREST este un instrument care transformă automat o schemă de bază de date PostgreSQL într-un API RESTful gata de producție. Servește drept strat de acces la baza de date și motor de interogare care mapează cererile HTTP direct în interogări SQL, oferind o interfață low-code pentru executarea operațiunilor de creare, citire, actualizare și ștergere (CRUD) fără a necesita cod boilerplate manual. Proiectul se distinge prin utilizarea generării de API bazată pe schemă și descoperirea bazată pe metadate pentru a expune tabelele bazei de date ca resurse navigabile. Extinde capabilitățile CRUD standard prin executarea de SQL personalizat și șablonat, un sistem de middleware bazat pe plugin-uri pentru injectarea logicii de business și capacitatea de a încărca biblioteci partajate externe la runtime. Sistemul acoperă o gamă largă de capabilități, inclusiv interogarea complexă a datelor cu join-uri de tabele, agregări și căutare full-text. Implementează un framework de securitate cuprinzător care include autentificare bazată pe token, permisiuni granulare la nivel de tabel și gestionarea CORS. Caracteristicile operaționale suplimentare includ caching-ul local al rezultatelor, monitorizarea stării de sănătate a serverului și conectivitate pentru SQL distribuit și Amazon Redshift. Instalarea este suportată în mai multe medii, inclusiv ca binar independent sau prin șabloane de automatizare Docker Compose și Heroku.
Retrieves filtered or structured data by executing complex SQL queries directly via REST API endpoints.
MiniOB is an open-source educational relational database kernel designed for learning the internals of database systems. It implements a dual-engine storage architecture combining B+ Tree and LSM-Tree, supports SQL parsing and query execution, and provides transactional processing with multi-version concurrency control. The system communicates with clients using the MySQL wire protocol and includes a vector database extension for storing and querying high-dimensional vectors. The project distinguishes itself through its comprehensive coverage of core database concepts in a single, learnable c
Accept plain-text SQL statements from authenticated clients and return results as OK, error, or result-set packets.