
ArcadeDB
8.3#1 in graph databasesFrom $19.99 a monthFree planWebAPILinuxmacOS
Visit

| Fact | ArcadeDB | FalkorDB |
|---|---|---|
| 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. | FalkorDB can be launched locally using Docker or used as a fully managed cloud instance. |
| Documentation depth | The documentation includes fundamentals, SQL, graph queries, vector/RAG, migration courses, API references and operations guides. | The documentation covers setup, graph modeling, querying, indexes, protocols, clients, GraphRAG and Docker ports 6379 and 3000. |
| Headquarters | London, United Kingdom | LinkedIn and Crunchbase list Tel Aviv, Israel as headquarters. |
| License | ArcadeDB is distributed under the Apache License 2.0 and the maker states that all features remain under that license. | The documentation states FalkorDB is licensed under Server Side Public License v1 (SSPLv1). |
| 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. | FalkorDB is a high-performance graph database for managing complex relationships and supporting AI applications. |
| Rating on Capterra | 0.0 out of 5 from 0 reviews | 0.0 out of 5 from 0 reviews |
| Rating on G2 | 5.0 out of 5 from 1 review | 5 out of 5 from 1 displayed review |
| Rating on GetApp | 0 rating from 0 reviews | 0 out of 5 from 0 reviews |
| Security | The maker describes a persistent write-ahead journal and automatic rollback of uncommitted transactions after a server crash. | The Trust Center says customer data is encrypted at rest and in transit, with encryption keys rotated annually. |
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.
FalkorDB is aimed at development teams working with interconnected data in real-time or interactive environments. It may suit teams building graph-based AI applications that need OpenCypher, vector search, or listed integrations.