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Database Entry

NoisePage

NoisePage is an in-memory relational DBMS designed to support self-driving (i.e., autonomous) operation. It is developed by the Carnegie Mellon Database Group.

Website
https://noise.page[01]
Source Code
https://github.com/cmu-db/noisepage[02]
Tech Docs
https://github.com/cmu-db/noisepage/tree/master/docs[03]
Developer
Country of Origin
US
Start Year
2018
Former Name
Peloton
Project Types
Academic, Open Source
Written in
C++
Inspired By
HyPer
Compatible With
PostgreSQL
Operating Systems
Linux, macOS
License
MIT License

Database Entry

NoisePage

NoisePage is an in-memory relational DBMS designed to support self-driving (i.e., autonomous) operation. It is developed by the Carnegie Mellon Database Group.

Concurrency Control[04]

Multi-version Concurrency Control (MVCC) Optimistic Concurrency Control (OCC)

Transactions generate redo records in thread-local memory.

Data Model

Relational

Indexes

Hash Table Bw-Tree

Isolation Levels

Snapshot Isolation

Joins

Hash Join Index Nested Loop Join

Logging

Physiological Logging

Parallel Execution

Intra-Operator (Horizontal)

Query Compilation

Code Generation JIT Compilation Stored Procedure Compilation

Query Execution

Vectorized Model

Query Interface

SQL

Storage Architecture

In-Memory

Storage Format

Arrow

Storage Model

Decomposition Storage Model (Columnar)

Storage Organization

Heaps

Stored Procedures

Supported

System Architecture

Shared-Everything
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Citations

4 sources
  1. https://noise.page noise.page Dead — Check Archive
  2. https://github.com/cmu-db/noisepage github.com Dead — Check Archive
  3. noisepage/docs at master · cmu-db/noisepage · GitHub github.com
  4. Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats cmu.edu
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