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traverse

In-memory graph database for GQL and openCypher, built for analytics. Runs as a server (Bolt, HTTP, gRPC, MCP), embedded in .NET, Java, Python, Node.js and Go, or in the browser. Includes Studio, APOC and GDS.

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GITHUB · launched Nov 1, 2026 · 23 upvotes (top 86%) · 0 views

Niche: database management systems and engines · 162 launches, 5 in the last 7 days ▼ -17% · Explore this niche →

Category and tags

  • Horizontal
  • Data infrastructure
  • Developer
  • Not AI
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

No A real in-memory graph database with GQL and openCypher query engines, multiple wire protocols, language bindings, and graph analytics libraries requires deep database and compiler expertise and years of engineering.

What it would actually take: Building this means writing a query parser and planner for GQL/openCypher, a columnar or graph-native in-memory storage engine with indexing and transactions, and a concurrency model. It also needs protocol servers (Bolt, gRPC), native bindings for several languages, and analytics algorithms. This is a multi-person, multi-year effort requiring database internals expertise.

Competitors

Other products that read as similar to this one : 160 launches clear the similarity bar, closest 8 shown.

Attention rank: #145 of 161 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 368 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.