# cmu-db/noisepage

Self-Driving Database Management System from Carnegie Mellon University

Repository: https://github.com/cmu-db/noisepage
Canonical: https://ross.abutalabs.com/products/noisepage
Homepage: https://noise.page
Language: C++
License: MIT
License Family: permissive
Topics: database, dbms
Archived: true
Last push: 2022-11-08T02:06:47+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2977, "days_push": 1395, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1765, forks 501 (observed 2026-08-28T04:05:33.066393+00:00)

## What it is
NoisePage is a relational database management system from Carnegie Mellon University designed for autonomous, self-driving operation, with integrated machine learning components that forecast, model, and plan system behavior. It offers Postgres wire-protocol compatibility, lock-free MVCC, LLVM-based JIT query compilation, and Arrow-compatible columnar storage.

## Use cases
- self-driving autonomous database management system
- postgres-compatible database with machine learning tuning
- research DBMS with JIT query compilation
- lock-free multi-version concurrency control database
- experiment with ML-driven database optimization
- columnar in-memory storage database for research

## When to choose
- you are researching autonomous database optimization and self-tuning systems
- you need a Postgres-protocol-compatible experimental DBMS with JIT compilation
- you want to study or extend a modern MVCC columnar storage engine
- you are a CMU student or contributor working on database internals

## When to avoid
- you need a production database with broad platform support and long-term vendor support
- you require environments other than Ubuntu 20.04, which is the only officially supported build target
- you need a stable, actively released database - the latest release dates to 2022
- you just need a simple embedded or lightweight database for an application

## Facets
- artifact type: application
- maturity: maintenance
- function: database, machine-learning, llm-training
- domain: databases, machine-learning
- platform: cpp, self-hosted
- tags: dbms, self-driving-database, postgres-compatible, research-project, llvm, jit-compilation, mvcc, apache-arrow, research, linux

## Member repositories
- cmu-db/noisepage (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:33.066393+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:26:36.539864+00:00, confidence not recorded.
  - readme: https://github.com/cmu-db/noisepage (fetched 2026-08-28T04:05:33.066393+00:00, sha d097a69e1ae7)
  - homepage: https://noise.page (fetched 2026-08-29T11:04:55.426895+00:00, sha ae22f2005d57)
- Data as of 2026-08-30T08:39:29.467469+00:00.