17 Repos
Support for database-specific extensions like PostGIS or pg_vector.
Distinguishing note: No existing candidates for Postgres extensions.
Explore 17 awesome GitHub repositories matching data & databases · PostgreSQL Extensions. Refine with filters or upvote what's useful.
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.
Provides support for advanced PostgreSQL extensions including spatial and vector data.
TimescaleDB is an open-source PostgreSQL extension that adds native time-series capabilities to the database. At its core, it transforms standard PostgreSQL tables into hypertables—automatically partitioned by time intervals—so data is stored in fixed-size chunks without manual sharding. The extension includes a library of over 200 built-in SQL functions purpose-built for time-series workloads, such as time bucketing, gap filling, percentile estimation, and time-weighted averages. What distinguishes TimescaleDB from generic PostgreSQL is its set of integrated time-series features that work th
Transforms standard PostgreSQL tables into hypertables for time-series workloads with automated partitioning and compression.
Citus is a PostgreSQL extension that transforms a standard database into a distributed system. It functions as a sharding framework and distributed SQL engine, enabling horizontal scaling by partitioning tables across a cluster of nodes. By utilizing a coordinator-worker topology, the system manages metadata and routes queries to the appropriate nodes, allowing for parallel execution of complex operations across distributed data shards. The platform distinguishes itself through its specialized support for multi-tenant architectures and real-time analytical processing. It enables tenant-based
Transforms standard PostgreSQL into a distributed system by sharding tables and parallelizing queries across multiple nodes.
Garnet is a multi-threaded in-memory database and distributed key-value store. It functions as a high-performance remote cache store that implements the RESP wire protocol to maintain compatibility with existing Redis clients and libraries. The project is distinguished by a shared-memory architecture that enables parallel request processing across multiple cores for sub-millisecond latency. It features a tiered storage system that automatically offloads colder data from system memory to SSD or cloud storage layers, and includes a specialized vector search database for high-dimensional similar
Bundles related custom commands and procedures into a single binary for simplified deployment and loading.
Patroni is a high availability manager and cluster orchestrator for PostgreSQL. It functions as an automatic failover controller and replication manager that ensures continuous database availability by automating leader election and promoting standby nodes during failures. The system maintains a consistent cluster state by acting as a distributed consensus coordinator. It synchronizes configuration and manages leader elections through integration with distributed configuration stores such as etcd, ZooKeeper, or Consul. Its broader capabilities include managing both synchronous and asynchrono
Coordinates high availability for distributed database extensions that transform standard relational systems into clusters.
PostgresApp is a native macOS application that provides a graphical interface for installing and managing PostgreSQL database servers locally. It serves as a local server manager, allowing users to start, stop, and configure database server states without using the command line. The application supports running multiple different versions of the database server simultaneously on a single machine, enabling multi-version compatibility testing and migrations through isolated environments. It also includes a bundle of pre-installed extensions for geospatial processing and vector search, removing
Adds advanced capabilities through bundled support for extensions like PostGIS and pg_vector.
A very fast implementation of tldr in Rust.
Built entirely in Rust for speed and memory safety, using the Rust ecosystem for CLI construction.
H3 is an open-source library that provides a hierarchical hexagonal grid system for geospatial indexing. It projects the Earth onto an icosahedron and tiles each face with hexagons to minimize distortion, then encodes each hexagon as a 64-bit integer that stores its resolution and position in the hierarchy. This integer encoding enables fast bitwise operations for grid navigation and spatial analysis. The library offers a comprehensive set of grid topology algorithms for computing neighbor relationships, distances, and paths between cells directly on the hexagonal grid without geographic coor
Provides a PostgreSQL extension that wraps the native C library for hexagonal indexing functions.
Pigsty is a comprehensive database infrastructure orchestration platform designed to automate the full lifecycle of high-availability PostgreSQL clusters. It functions as an infrastructure-as-code framework that manages cluster coordination, node provisioning, and service discovery through idempotent playbooks. By integrating distributed consensus mechanisms, the platform ensures automated failover and consistent state enforcement across diverse environments, including bare metal and virtualized infrastructure. The platform distinguishes itself through a robust suite of operational capabiliti
Bundles a comprehensive library of database extensions to expand functionality for specialized data processing and analytical workloads.
pgx ist ein Framework und eine Tool-Suite für die Entwicklung von hochperformanten PostgreSQL-Extensions mit der Programmiersprache Rust. Es bietet einen Low-Level-API-Wrapper für die Interaktion mit internen Datenbank-Memory-Contexts, Logging-Systemen und Core-Execution-APIs, was die Implementierung benutzerdefinierter Datenbankfunktionalität und Logik direkt innerhalb der Datenbank-Engine ermöglicht. Das Projekt zeichnet sich durch ein dediziertes Build-Tool und eine Command Line Interface (CLI) aus, die den gesamten Entwicklungszyklus einer Extension verwalten – von der Umgebungsinitialisierung bis zum Binary-Packaging. Es enthält einen Type-Mapper, der Sprachstrukturen in zusammengesetzte Datenbanktypen übersetzt und automatisch die entsprechenden SQL-Schema-Definitionen generiert. Das Framework deckt ein breites Funktionsspektrum ab, einschließlich User-Defined Function Mapping, Binärprotokoll-Integration und Multi-Version-Target-Support, um Kompatibilität über verschiedene Datenbank-Releases hinweg sicherzustellen. Zudem bietet es spezialisierte Memory-Management-Wrapper, um Pointer zu handhaben und Leaks innerhalb der Datenbankumgebung zu verhindern.
Provides a comprehensive framework for developing high-performance, memory-safe PostgreSQL extensions using the Rust language.
pgrx is a framework for building and packaging custom PostgreSQL extensions using Rust. It serves as a foreign function interface bridge that maps Rust types and functions to the internal server programming interface of the database. The project provides a specialized toolchain for cross-compilation across different operating systems and target architectures using custom sysroots. It includes a schema generator that automatically translates high-level language structures into SQL definitions and binary protocol mappings. The framework manages memory safety by wrapping database memory context
Serves as the primary Rust framework for building and packaging custom PostgreSQL extensions with memory safety.
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
Manages the installation, configuration, and removal of PostgreSQL extension packages across cluster nodes.
Apache AGE is a graph database extension for PostgreSQL that adds openCypher graph query capabilities directly within the relational database environment. It functions as a loadable extension that translates Cypher graph traversal queries into SQL expressions, enabling users to run pattern matching and path analysis alongside standard SQL operations within a single database instance. The extension stores labeled, directed property graphs as isolated schemas with internal relational tables for vertices, edges, and labels, preventing cross-graph interference. It supports hybrid query execution
Adds openCypher graph capabilities to PostgreSQL as a loadable extension.
Groupdate ist ein PostgreSQL-Tool für Zeitreihen-Aggregation und Datums-Gruppierung. Es bietet eine Reihe von SQL-Funktionen, um zeitliche Datensätze in diskrete Buckets wie Tage, Wochen oder Monate zu gruppieren und Summen sowie Durchschnitte für Berichte zu berechnen. Das Projekt konzentriert sich auf die Sicherstellung kontinuierlicher Zeitlinien durch das Auffüllen von Zeitreihenlücken (Gap Filling), wobei Standardwerte für Zeiträume eingefügt werden, in denen keine Daten existieren. Es enthält zudem einen Formatierer für zeitliche Daten, der gruppierte Datums-Zeit-Schlüssel in lokalisierte Strings oder benutzerdefinierte Formate umwandelt. Das Tool deckt umfassende Operationen für zeitliche Daten ab, einschließlich Zeitbereichsfilterung und der Extraktion von Kalenderkomponenten, wie etwa die Gruppierung von Daten nach Wochentagen. Es unterstützt zudem zeitzonenbewusste Berechnungen, um die Gruppierung an lokale Kalendertage anzupassen.
Provides a PostgreSQL extension for grouping and aggregating temporal data into discrete buckets.
Setuptools is a Python package build tool and distribution framework used to bundle code into distributable archives. It functions as a project metadata manager, allowing for the declarative definition of project identity, versioning, and dependencies. The toolkit distinguishes itself by providing an extension compiler for C and C++ source files and a plugin architecture that uses entry points to enable runtime discovery of functionality. It also supports development environment tooling, such as editable installs that link source code directly to the environment to allow immediate changes wit
Integrates new custom commands or distribution types into the build process for specialized packaging needs.
pgvecto.rs is a database extension that integrates high-dimensional vector search capabilities directly into PostgreSQL. It functions as a specialized engine for storing and retrieving embeddings, allowing relational databases to perform similarity searches alongside traditional structured data queries. The extension distinguishes itself through hardware-aware execution strategies that maximize performance. It performs runtime analysis of the host machine to utilize specific processor instruction sets for accelerated mathematical operations. To manage memory efficiently, it employs quantizati
Provides a database enhancement that leverages hardware-specific instructions to accelerate complex analytical queries and high-dimensional data processing.
Dieses Projekt ist eine Datenbankerweiterung, die horizontale Skalierung und verteilte Datenpartitionierung über mehrere PostgreSQL-Knoten hinweg ermöglicht. Sie fungiert als Middleware-Lösung, die große Datenbanktabellen über einen Cluster verteilt, um die Gesamtspeicherkapazität zu erhöhen und die Schreib-Performance für wachsende Datensätze zu verbessern. Das System verwendet hash-basierte Partitionierung, um Tabellendatensätze über physische Knoten zu verteilen, und nutzt einen zentralen Metadaten-Katalog, um Shard-Standorte zu verfolgen. Es bietet transparentes Query-Routing, das Standard-SQL-Befehle von einem Koordinator-Knoten an die entsprechenden Worker-Knoten weiterleitet, ohne dass Änderungen an der bestehenden Anwendungslogik erforderlich sind. Das Framework enthält Tools zur Aufrechterhaltung der Datenredundanz und Cluster-Integrität durch Shard-Replikation und automatisierte Konsistenz-Reparaturprozesse. Es unterstützt zudem Dateningestion mit hohem Durchsatz und nutzt gleichzeitige Verarbeitung, um massive Datensätze in verteilte Tabellen zu importieren.
Enables horizontal scaling and distributed data partitioning across multiple PostgreSQL nodes for improved write performance.