NoisePage - Revision #3 - Database of Databases

View Current Viewing Revision #3 from 12/02/2020 2:17 p.m.

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.

Parallel Execution

Intra-Operator (Horizontal)

Storage Architecture

Storage Model

Decomposition Storage Model (Columnar)

Concurrency Control

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

Stored Procedures

Logging

Physiological Logging

Data Model

Storage Organization

Joins

Hash Join Index Nested Loop Join

Query Compilation

Code Generation JIT Compilation Stored Procedure Compilation

Isolation Levels

Snapshot Isolation

Query Interface

Query Execution

Vectorized Model

Storage Format

Indexes

Hash Table Bw-Tree

System Architecture

Shared-Everything

Revision #3 | Updated 12/02/2020 2:17 p.m.

View Current Viewing Revision #3 from 12/02/2020 2:17 p.m.

Website

https://noise.page/

Source Code

https://github.com/cmu-db/noisepage

Tech Docs

https://github.com/cmu-db/noisepage/tree/master/docs

Developer

Carnegie Mellon University

Country of Origin

Start Year

2018

Former Name

Peloton

Project Type

Academic, Open Source

Written in

Compatible With

Operating Systems

Licenses

Revision #3 | Updated 12/02/2020 2:17 p.m.