RayforceDB is a new analytics database written entirely in C. It unifies columnar analytics, graph traversal, and recursive queries within a single embeddable execution pipeline. This integration is intended for teams requiring microsecond-level latency in their data operations.
The database aims to eliminate the need for moving data between separate engines for different types of analysis. It processes relational operators and graph traversals within the same plan, optimizing the entire workload and keeping data processing close to the hardware. This approach is designed to improve efficiency for complex queries.
RayforceDB supports a Lisp-like syntax for its queries, allowing for complex questions with a concise syntax. Users can interact with Rayforce via an interactive interface, embed its C API, or connect through client interfaces. All interaction methods utilize the same optimizer and execution core.
The database includes columnar analytics features such as vectorized filters, joins, groups, windows, pivots, and time-series primitives. It also offers a native graph engine with CSR traversal, shortest paths, centrality, communities, WCO joins, and HNSW. Recursive Datalog is supported for expressing reachability and recursive relationships, compiled into the same execution graph. Storage options include CSV, splayed and partitioned tables, memory maps, IPC, and block offloading.
RayforceDB is already in use within production systems and open-source projects. Its applications span various financial sectors, including trading, market connectivity, investment analytics, and risk management.
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RayforceDB is a new pure C analytics database that combines columnar analytics, graph traversal, and recursive queries into a single execution pipeline. It is designed for low-latency data processing and supports a Lisp-like query syntax, aiming to eliminate the need to move data between different engines for complex workloads.