ArangoDB database is an open-source NoSQL solution with a flexible data model for documents, graphs, and key-values.



Grafeo is described as 'Pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage. Grafeo supports both LPG and RDF and all major query languages' and is an app in the development category. There are more than 10 alternatives to Grafeo for a variety of platforms, including Linux, Mac, Windows, SaaS and Self-Hosted apps. The best Grafeo alternative is ArangoDB, which is free. Other great apps like Grafeo are neo4j, ArcadeDB, FalkorDB and Amazon Neptune.
ArangoDB database is an open-source NoSQL solution with a flexible data model for documents, graphs, and key-values.



You can think of Neo4j as a high-performance graph engine with all the features of a mature and robust database.




One DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.




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).

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets.

Nebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency. It delivers enterprise-grade high performance to simplify the most complex data sets imaginable into...
RedisGraph is a property graph database module for Redis. It is the first graph database to use linear algebra on sparse adjacency matrices to implement graph operations, which lets it achieve high performance. It understands OpenCypher queries.
Fully-managed vector database providing lightning-fast, relevant search with developer-focused APIs, effortless scalability, metadata filters, transparent usage-based pricing, multi-cloud support, easy integration, unstructured data handling, and no need for infrastructure upkeep.


Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support.
Dgraph is a low latency, high throughput, horizontally scalable and distributed graph database with ACID transactions.
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment.

