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User-defined procedures and operators that extend the core functionality of a database to handle specific data types or logic.
Distinct from Custom Operation Definitions: None of the candidates cover general database-level user-defined operators; candidates are too specific to tensors or workflow engines.
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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
Enables the extension of the database with user-written procedures operating on raw strings or custom object types.
Dag-factory is a framework for constructing and managing Apache Airflow data pipelines through declarative configuration files. By replacing manual procedural code with structured YAML definitions, it enables the programmatic generation of complex workflow structures, task dependencies, and execution schedules. The project distinguishes itself by mapping configuration keys directly to Python class constructors and operators, allowing for the dynamic instantiation of objects and custom logic. It supports hierarchical configuration inheritance to standardize settings across environments and pro
Maps user-defined objects and custom operator classes to configuration entries for specialized pipeline logic.