32 مستودعات
Database connectors designed for non-blocking, asynchronous data operations in high-concurrency environments.
Distinguishing note: Focuses on the non-blocking nature of storage operations rather than the data model or persistence logic itself.
Explore 32 awesome GitHub repositories matching data & databases · Asynchronous Database Drivers. Refine with filters or upvote what's useful.
Agno is an agent operating system designed to manage the lifecycle, tool execution, and persistent state of autonomous agents across distributed infrastructure. It provides a unified runtime environment that wraps diverse agent frameworks into a consistent, interoperable protocol, allowing developers to build and deploy complex multi-agent systems that coordinate tasks and delegate sub-processes. The platform distinguishes itself through a robust governance and orchestration layer that includes human-in-the-loop approval gates, role-based access control, and a centralized API gateway. It feat
AgentOS uses asynchronous database drivers to perform non-blocking storage operations when building agents within asynchronous application environments.
RethinkDB is a distributed, document-oriented database designed to store and manage JSON-formatted data across scalable clusters. It utilizes a custom log-structured storage engine with B-Tree indexing to ensure high-performance disk I/O and data persistence. The system maintains high availability through automatic sharding and replication, employing a primary-replica voting consensus mechanism to handle node failures and ensure consistent cluster operations. A defining characteristic of the platform is its reactive changefeed engine, which allows applications to subscribe to live data update
RethinkDB executes database queries asynchronously using callbacks, promises, or event emitters to handle incoming data streams without blocking the main execution thread.
This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive interface for managing remote data stores, enabling developers to execute standard database commands, handle complex data structures, and perform asynchronous operations within Go applications. The library distinguishes itself through its support for advanced Redis capabilities, including connection pooling, pipelining, and transactional integrity. It provides specialized primitives for managing distributed clusters, including automated topology updates and request routing to sha
Provides a high-performance, asynchronous database driver for executing commands and managing data structures in Redis.
Swoole is a coroutine-based concurrency library and IO framework for PHP. It provides a system for building high-performance network servers and applications by bringing asynchronous, event-driven, and coroutine-based concurrency to the PHP runtime. The project distinguishes itself by implementing user-space coroutine scheduling and non-blocking IO interception, which transforms standard blocking network and file operations into asynchronous actions. It further enables high-speed data exchange across multiple PHP processes through shared memory management and specialized data structures. The
Ships a collection of asynchronous database drivers for high-concurrency read and write operations without stalling execution.
Dapper is a lightweight object-relational mapper for .NET that functions as a high-performance data access library. It operates by extending standard database connection interfaces, allowing developers to execute raw SQL queries while automating the mapping of database results to strongly-typed objects. The library distinguishes itself through its use of runtime code generation, which creates high-performance instructions to map database rows to object properties with minimal overhead. It provides flexible data retrieval options, supporting both memory-buffered loading for speed and row-by-ro
Performs database operations using non-blocking calls to improve application responsiveness.
SQLModel is a type-safe object-relational mapping library for Python that integrates database schema definitions with data validation logic. By combining these two roles into a single class, it allows developers to manage relational data structures and enforce data integrity for web APIs simultaneously. The framework is built to support asynchronous database operations, enabling high-performance applications to execute queries and transactions without blocking the main execution thread. The library distinguishes itself by leveraging Python type hints to provide IDE autocompletion and compile-
Executes database queries and transactions using asynchronous syntax to prevent blocking the main thread.
node-redis is a Node.js client and database driver for interacting with Redis key-value stores. It functions as a connection manager and data iterator, allowing applications to execute database commands and manage atomic transactions on a remote server using asynchronous JavaScript. The project provides specialized capabilities for handling large datasets through an asynchronous interface and supports connection pooling to isolate blocking operations. It includes support for client-side caching and token-based authentication via Entra ID. The driver covers a broad range of operational areas,
Functions as a database driver for executing Redis commands and managing atomic transactions using the Redis protocol.
brpc is a high-performance C++ RPC framework and network programming library designed for building distributed systems. It functions as a multi-protocol RPC server capable of hosting and detecting multiple communication protocols, including gRPC, Thrift, HTTP, Redis, and Memcached, on a single TCP port. The project distinguishes itself through high-throughput data transport and memory efficiency, utilizing RDMA-based transport to bypass the kernel TCP stack and zero-copy memory management to eliminate data duplication. It also implements the Raft algorithm for consensus-based state replicatio
Implements a Redis driver supporting both single and batched command execution with typed responses.
This project is a database driver for Node.js applications designed to interface with Redis. It provides structured access to data stores, enabling the execution of commands, management of data structures, and the implementation of atomic transaction processing. The client distinguishes itself through native support for the binary-safe serialization protocol and a promise-based command pipeline that groups operations to minimize latency. It includes a dedicated manager for distributed environments that handles node discovery and request routing, alongside an event-driven messaging system that
Provides a comprehensive interface for interfacing with Redis databases, supporting asynchronous execution and cluster topologies.
LibSQL is a high-performance, distributed SQL database engine that extends SQLite to support remote network access, edge computing, and real-time synchronization. It functions as an embedded database library that integrates directly into application processes while providing the infrastructure to maintain consistency across multiple geographic regions. The platform distinguishes itself by enabling database interaction over standard HTTP protocols, allowing applications to query remote data sources in serverless and edge environments without requiring local filesystem access. It includes nativ
Performs non-blocking database interactions to maintain application responsiveness during high-concurrency workloads.
This toolkit provides an asynchronous interface for interacting with relational databases, offering a unified driver-agnostic layer for managing connection pools and executing transactions. It is designed to integrate with asynchronous runtimes, enabling non-blocking database operations while maintaining secure, encrypted communication between the application and the database server. The project distinguishes itself through its compile-time validation capabilities, which use procedural macros to inspect SQL syntax and parameter types against a live database schema during the build process. Th
Provides asynchronous database drivers with built-in connection pooling and transaction management.
Drogon is a high-performance C++ HTTP web framework and asynchronous web server designed for building web applications and REST APIs. It utilizes an event-driven, non-blocking architecture to handle concurrent HTTP and WebSocket connections, and it implements a model-view-controller structure to separate business logic from presentation. The framework includes an integrated C++ object-relational mapping system and database client for performing asynchronous operations with relational databases and Redis key-value stores. It supports real-time, full-duplex communication via WebSockets and prov
Includes database connectors designed for non-blocking, asynchronous data operations to maintain high concurrency.
Drogon is a high-performance, cross-platform C++ framework designed for building asynchronous web services and server-side applications. It functions as a multi-threaded, event-driven server engine that manages concurrent network traffic and WebSocket connections with minimal latency. By leveraging non-blocking input/output and native code compilation, the framework provides a foundation for scalable applications that operate efficiently across diverse hardware architectures. The framework distinguishes itself through its compile-time template rendering, which transforms dynamic HTML views in
Enables non-blocking, asynchronous database operations to prevent stalling the main execution thread.
Jedis is a Java library and database driver used to execute commands and manage data on Redis servers and distributed clusters. It functions as a network client that provides a low-level interface for manipulating data types, including JSON and vector sets. The project serves as a connection manager featuring automatic failover and token-based authentication to secure network connections. It manages data distribution across multiple nodes through cluster-aware topology mapping and handles connection failover to maintain service availability when a primary connection fails.
Acts as a database driver optimized for the Redis protocol to manipulate JSON and vector sets.
Peewee is a SQL object-relational mapper and query builder that provides an object-oriented interface for mapping application classes to relational database tables. It functions as a relational database toolkit for managing schemas, executing migrations, and handling complex table relationships. The project distinguishes itself by providing an asyncio database driver for non-blocking database operations, ensuring event loop responsiveness. It also supports semi-structured data storage, allowing the storage and querying of flexible JSON documents within traditional relational database systems.
Provides non-blocking database drivers designed for high-concurrency asyncio environments.
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
Provides a unified layer for performing non-blocking database operations and managing transactions within asynchronous Python environments.
The MongoDB Node.js Driver is a programmatic interface and NoSQL database client used to manage document storage and execute operations within a MongoDB database. It serves as an asynchronous database interface and connection manager that enables Node.js applications to integrate with MongoDB servers. The project implements client-side field encryption to secure sensitive data and queries locally before transmission. It also provides a BSON serialization library to convert JavaScript objects into a binary format for efficient storage and network transmission. The driver covers a broad range
Provides a non-blocking, asynchronous driver for high-concurrency database operations.
Goose is a database schema versioning system and SQL migration tool designed for Go applications. It functions as a framework for tracking and applying incremental database changes through versioned SQL scripts, ensuring consistency across different environments. The project distinguishes itself by providing a build-time capability to exclude unused database drivers to optimize binary size and a filesystem abstraction that allows migration scripts to be bundled directly into a compiled executable. It also supports out-of-order execution logic to apply missing scripts that were created after a
Provides a build-time capability to exclude unused database drivers to minimize the final binary size.
LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters
Provides non-blocking asynchronous calls for database connections, table creation, and searches.
asyncpg is an asynchronous database driver and binary protocol client for PostgreSQL. It provides a non-blocking interface for executing SQL statements, streaming result sets, and managing data transfer between an application and a PostgreSQL database. The driver implements the PostgreSQL binary protocol directly to facilitate efficient data transfer and type conversion. It includes a connection pool to maintain and reuse open database connections, reducing the latency associated with repeated handshakes. The project covers a broad range of database integration capabilities, including atomic
Serves as a high-performance, non-blocking PostgreSQL client designed for asynchronous data operations.