3 مستودعات
Syntactic features that improve the readability and flexibility of database query languages.
Distinguishing note: Focuses on language-level syntax improvements like digit separators and identifier handling rather than core data storage.
Explore 3 awesome GitHub repositories matching data & databases · Query Syntax Extensions. Refine with filters or upvote what's useful.
DuckDB is an in-process analytical database engine designed to run directly within an application process. As a zero-dependency, embedded system, it provides enterprise-grade SQL data processing capabilities without the overhead of managing a dedicated database server. It is built to handle complex analytical and aggregation tasks by storing and retrieving information in columns, allowing for high-performance relational data manipulation. The engine distinguishes itself through a columnar vectorized execution model that maximizes CPU cache efficiency during query operations. It employs adapti
Supports flexible identifier case sensitivity and numeric digit separators to improve SQL code readability.
Neo4j is a native graph database management system designed to store and query highly connected data using a property-graph model. It provides an ACID-compliant transaction engine that ensures data integrity, supported by a distributed cluster architecture that maintains causal consistency across nodes. Users interact with the system through a declarative query language, which allows for complex pattern matching and path traversal without requiring manual traversal logic. The platform distinguishes itself through its hybrid approach to data retrieval, combining traditional graph-based queries
Provides native syntax highlighting and autocompletion for graph queries within code editors.
This project is a metadata query engine and indexer for markdown files, designed to transform YAML frontmatter and inline fields into dynamic tables and lists. It provides a background process that extracts tags and custom fields into a searchable database, enabling the automated indexing of notes. The system is distinguished by its dual approach to data retrieval: a dedicated query language for SQL-like filtering and grouping, and a JavaScript data API. This API allows for programmatic metadata extraction and the creation of custom views and extensions using TypeScript typings. Its broader
Implements a dedicated SQL-like query language for filtering and grouping markdown metadata.