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Database Entry

NarayanaDB

AI-Assisted OLAP

NarayanaDB is a DBMS that integrates columnar storage with cognitive architecture and reinforcement learning optimization capabilities. Implemented in Rust, it targets real-time analytics, robotics control systems, and distributed applications.

Website
https://github.com/carlosbarbosamexico/narayana[01]
Source Code
https://github.com/carlosbarbosamexico/narayana[01]
Developer
Country of Origin
BR
Start Year
2025
Project Types
Hobby, Open Source
Written in
C++
Derived From
RocksDB
Operating System
Linux
License
Apache v2

Database Entry

NarayanaDB

AI-Assisted OLAP

NarayanaDB is a DBMS that integrates columnar storage with cognitive architecture and reinforcement learning optimization capabilities. Implemented in Rust, it targets real-time analytics, robotics control systems, and distributed applications.

Data Model

Relational

Hardware Acceleration

GPU

Indexes

B+Tree Hash Table Hierarchical Navigable Small World (HNSW)

Query Execution

Vectorized Model

Query Interface

GraphQL HTTP / REST RPC

Storage Architecture

Disk-oriented

Storage Model

Decomposition Storage Model (Columnar)

Citations

1 source
  1. GitHub - carlosbarbosamexico/narayana: Cognitive database system implementing Conscience Persistent Loop (CPL) architecture with Global Workspace Theory, memory consolidation, narrative identity formation, and hybrid moral alignment system. AGI resea github.com
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