ByteGraph | BestHub

DataFunSummit

Oct 14, 2022 · Databases

ByteGraph: ByteDance’s In‑house Graph Database Architecture and Implementation

ByteGraph is ByteDance’s internally developed graph database that stores and queries massive graph data efficiently, featuring a three‑layer architecture of query engine, storage engine, and disk storage, supporting Gremlin, partitioning, indexing, caching, high availability, and integration with online/offline data pipelines.

ByteGraphDistributed storageGremlin

0 likes · 12 min read

ByteGraph: ByteDance’s In‑house Graph Database Architecture and Implementation

DataFunTalk

May 30, 2022 · Big Data

ByteGraph: ByteDance’s Self‑Developed Graph Database – Architecture, Data Model, Query Language, and Operational Challenges

This article introduces ByteDance’s self‑developed graph database ByteGraph, covering its fundamentals, use‑case scenarios, data model and Gremlin query language, architecture and implementation details, and key challenges such as indexing, hot‑spot handling, resource allocation, high availability, and offline‑online data fusion.

Big DataByteGraphDistributed storage

0 likes · 14 min read

ByteGraph: ByteDance’s Self‑Developed Graph Database – Architecture, Data Model, Query Language, and Operational Challenges

DataFunTalk

Feb 26, 2020 · Databases

ByteGraph: ByteDance’s Distributed Graph Database and Graph Computing System – Architecture, Data Model, and Practices

This article presents an in‑depth technical overview of ByteGraph, ByteDance’s self‑built distributed graph database and its accompanying graph‑computing engine, covering graph data characteristics, the directed‑property graph model, API design, three‑tier system architecture, storage strategies using KV stores and B‑Trees, hotspot handling, indexing, and future research directions.

B+TreeByteGraphDistributed storage

0 likes · 33 min read

ByteGraph: ByteDance’s Distributed Graph Database and Graph Computing System – Architecture, Data Model, and Practices