AllegroGraph vs GraphDB

AllegroGraph is a persistent graph database for RDF triples and quads, generic graphs, and vectors, using disk-based storage and efficient memory utilization. It supports SPARQL, RDFS++ reasoning, and Prolog, plus geospatial and temporal reasoning, social network analysis, native data types, and range queries. The database is ACID-compliant and includes online backups, point-in-time recovery, replication, and warm standby. It can integrate with large language models and store embedding vectors in a vector database. Security features include role-based permissions, repository access controls, security filters, and triple-level controls using attributes. LDAP and OAuth/OIDC authentication are supported, with TLS for client connections; the security overview recommends third-party tools for encryption at rest. Clients include Java, Python, and Lisp, alongside REST and browser-based WebView access. The server runs natively on x86-64 Linux, with documented Docker, Windows Subsystem for Linux, virtual machine, and cloud options. The free edition costs nothing, has no expiration or license key requirement, and allows up to 5,000,000 triples.

GraphDB is an RDF and SPARQL semantic graph database for storing data and performing inferencing in the Graphwise AI Platform. It supports SPARQL 1.1, RDF4J compatibility, RDFS and OWL 2 RL and QL rulesets, federated queries, and RDF-star. Its real-time forward-chaining reasoning operates across datasets, and the product page describes native GraphRAG and LangChain integration. GraphDB can run as a desktop or standalone server application, be self-hosted, or be deployed on AWS and Azure; downloads are listed for Windows, macOS, Linux, and a platform-independent distribution. The Free edition includes a Lucene connector, one parallel query, and up to five repositories; GraphDB 11 and later requires a free license. Enterprise supports multiple cores, unlimited repositories, high-availability clustering, and connectors for Elasticsearch, OpenSearch, Solr, and Kafka. Free is on-premise only with community support. Enterprise includes SLA support and is licensed per server CPU core, with each cluster node licensed separately. Free costs nothing; Enterprise pricing is on request.