graph database
A distributed, open-source graph database with horizontal scalability, high availability, and openCypher compatibility.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
choose when you need a distributed multi-model DB (graph, document) with SQL-like queries and multi-master replication
OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.
choose when you need graph storage with versioning and Datalog-style reasoning in a distributed setting
TerminusDB is a distributed, collaborative database designed for building, sharing, versioning, and reasoning on structured data.
choose when you need a Java-based distributed graph DB with pluggable storage backends and Gremlin/Cypher APIs
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
choose when you want a distributed graph DB with native GraphQL and strong consistency
high-performance graph database for real-time use cases
choose when you need a distributed multi-model DB (document, graph, key-value) with a single query language
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose when you need a mature, centralized graph DB with rich tooling and Cypher, and don't require horizontal scale
Graphs for Everyone
choose when you want graph functionality inside PostgreSQL without deploying a separate database
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
choose when you need a small, embeddable graph database in Rust rather than a standalone distributed server
A graph database written in rust
choose when you want a lightweight, self-contained graph database with an HTTP API for small projects
EliasDB a graph-based database.
choose when you need ultra-fast in-memory graph analytics on a single node using GraphBLAS
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
choose when you need an in-memory graph DB with Cypher for real-time analytics on datasets that fit in RAM
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
These projects were analysed and named nebula among their alternatives. The relationship is not symmetric — how nebula rates them is a separate judgement, made when nebula is analysed in its own right.
calls nebula “choose over Cayley for a C++ distributed property-graph designed for scale-out OLTP and analytics”
An open-source graph database
calls nebula “distributed graph database with horizontal scalability; choose for graph-heavy workloads only.”
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
calls nebula “Choose when you need a distributed C++ graph store at billion-edge scale, not a single-process embedded database.”
A simple, fast and versatile Datalog database
calls nebula “Choose for a distributed graph database with massive scale but only graph workloads.”
A scalable, distributed, collaborative, document-graph database, for the realtime web