
ArcadeDB
8.3#1 in graph databasesFrom $19.99 a monthFree planWebAPILinuxmacOS
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| Fact | ArcadeDB | Memgraph |
|---|---|---|
| AI integrations | The GraphRAG documentation describes combining graph traversal, vector similarity, BM25 or SPLADE sparse retrieval and hybrid fusion. | The documentation provides LangChain and LangGraph tooling, including a Memgraph toolkit and MemgraphQAChain. |
| Deployment | ArcadeDB can run embedded in Java applications or as a standalone server and can be installed using Docker, a GitHub binary, Maven, or Kubernetes. | Memgraph supports Docker, native Linux packages, Kubernetes and cloud deployments on AWS, Azure and GCP. |
| Documentation depth | The documentation includes fundamentals, SQL, graph queries, vector/RAG, migration courses, API references and operations guides. | The docs cover installation, client libraries, migration from graph and SQL systems, query modules, deployment, configuration, troubleshooting and release notes, and expose a public MCP documentation server. |
| Headquarters | London, United Kingdom | Sevenoaks, Kent, United Kingdom |
| Product | ArcadeDB is an open-source multi-model database that stores graph, document, key-value, full-text search, vector, and time-series data in one engine. | Memgraph is an in-memory graph database and platform focused on graph computations on streaming data. |
| Rating on G2 | 5.0 out of 5 from 1 review | 5.0 out of 5 from 2 reviews. |
It suits developers who need several data models in one database or need graph, document, vector, and time-series capabilities together. Teams wanting support with stated response targets can consider the paid subscriptions.
You want what its maker publishes above — check its page for the details.