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Minigraf

An embedded, bi-temporal graph database in Rust

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This is 1 of 121 launches in database management systems and engines — see how it stacks up on momentum and crowding →

73 other launches read as similar to this one →

Details

External ID
49963394
Source
HN
Company
—
Product
Minigraf
Website domain
github.com
Launched
Oct. 5, 2026
Cohort
—
Upvotes
41
Upvotes percentile
0.78
Tags
—

Description

A successor project to my previous attempt at building a temporal graph database (https://news.ycombinator.com/item?id=23455516). This one builds on its predecessor's concept, but drops the dependency on another database to provide the storage, transaction and query engines. Minigraf is self-contained, packaged as a library crate, embeds into your application, and supports full bi-temporality.

Enrichment

Niche
database management systems and engines
Vertical
Horizontal
Function
Data infrastructure
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
embedded bi-temporal graph database in rust
Manually corrected
False

Could you build this?

No Implementing a custom, self-contained bi-temporal graph database in Rust from scratch (including custom storage engine, ACID transactions, and temporal graph traversals) is a hard systems research and engineering problem.

What it would actually take: This requires designing an LSM-tree or B-tree based storage engine with an append-only WAL, MVCC concurrency control, and dual-timestamp indexing (valid time and transaction time). The team needs deep expertise in systems programming, memory mapping, lock-free data structures, and graph query optimization (handling cycle detection and temporal point-in-time / interval queries).

Discussion

10 comments analyzed.

Competitors mentioned: SQLite, PostgreSQL, Cypher-based databases

Concerns raised: Need for another custom database and query language, Existing graph/relational databases already handle use cases

Competitors

Other products that read as similar to this one — 73 launches clear the similarity bar, closest 8 shown.

Attention rank: #23 of 74 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 341 days after the earliest competitor.

Other launches for this product