# cmu-db/peloton

The Self-Driving Database Management System

Repository: https://github.com/cmu-db/peloton
Canonical: https://ross.abutalabs.com/products/peloton
Homepage: http://pelotondb.io
Language: C++
License: Apache-2.0
License Family: permissive
Topics: database, dbms
Archived: true
Last push: 2019-05-15T04:27:24+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4276, "days_push": 2667, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2050, forks 617 (observed 2026-08-28T04:06:09.136846+00:00)

## What it is
Peloton is a self-driving SQL database management system with integrated AI components for autonomous optimization of hybrid workloads. It supports Postgres wire protocol and JDBC, lock-free MVCC, Bw-Tree indexing, and non-volatile memory storage.

## Use cases
- self-tuning database that optimizes itself without a DBA
- database that predicts and adapts to workload trends
- HTAP database with real-time analytics via MVCC
- research on autonomous database management systems
- Postgres-compatible database using non-volatile memory

## When to choose
- studying autonomous/self-driving DBMS architecture and research
- exploring lock-free MVCC or Bw-Tree index designs
- researching NVM-aware database storage techniques

## When to avoid
- production workloads - the project is officially dead and unmaintained
- you need support, bug fixes, or pull requests accepted
- you want a modern actively developed DBMS - use its successor or PostgreSQL

## Facets
- artifact type: application
- maturity: abandoned
- function: database, machine-learning
- domain: databases, machine-learning, developer-tools
- platform: cpp
- tags: self-driving-dbms, autonomous-optimization, nvm, mvcc, postgres-protocol, research-project, linux, macos

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:09.136846+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 2026-08-30T02:57:35.683484+00:00, confidence not recorded.
  - readme: https://github.com/cmu-db/peloton (fetched 2026-08-28T04:06:09.136846+00:00, sha d4dc3f8bb655)
- Data as of 2026-08-30T08:39:29.467469+00:00.