4 个仓库
Accessing storage-backed tables over a network using logical identifiers.
Distinct from Azure Table Storage Connectors: Existing candidates focused on networking connectivity or specific Azure connectors, not general remote table access by logical ID.
Explore 4 awesome GitHub repositories matching data & databases · Remote Table Connectivity. Refine with filters or upvote what's useful.
Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con
Hosts tables on a Python server to make them accessible to JavaScript clients over a WebSocket connection.
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
Connects to storage-backed tables over a network using logical identifiers, removing the need for local paths.
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
Maps remote databases or schemas to Hive databases, making all tables queryable without manual mapping.
H2 是一个用 Java 编写的 JDBC 兼容关系型数据库管理系统。它作为一个可嵌入的 SQL 数据库,可以直接在应用程序进程内运行以消除网络延迟,或者作为内存数据库用于高性能的易失性存储。它还包含一个基于 Web 的控制台,用于执行 SQL 命令和管理模式。 该系统的特点是其灵活的部署模式,包括用于远程 TCP/IP 访问的独立服务器模式,以及用于同时进行本地和远程连接的混合模式。它具有方言模拟层和兼容模式,允许其模仿其他数据库系统的行为和语法。 该引擎提供了一套广泛的功能,涵盖具有多版本并发控制(MVCC)的 ACID 事务、地理空间和 JSON 数据支持,以及高级分析窗口函数。它包括通过压缩备份、SQL 脚本恢复和堆外内存管理来处理大数据集的数据保护工具。 该数据库使用标准的 Java 数据库连接驱动程序和连接 URL 与应用程序集成。
Copies tables from specific remote schemas into the local environment through a secure connection.