cmu-db/peloton
The Self-Driving Database Management System observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4276
- days_rel: n/a
- days_push: 2667
- n_releases_24m: 0
Adoption not part of the score
2050 stars · 617 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity abandoned
database machine-learning databases machine-learning developer-tools cpp self-driving-dbms autonomous-optimization nvm mvcc postgres-protocol research-project linux macos
1 source
- readme: https://github.com/cmu-db/peloton · fetched 2026-08-28 · d4dc3f8bb655
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| cmu-db/peloton | main | 10 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem