AllegroGraph vs RDFox
AllegroGraph
agraph.franz.com
RDFox
oxfordsemantic.techSide by side
| Figure | AllegroGraph | RDFox |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · RDF Databases | 8.3 (#6) | 8.5 (#3) |
| Deployment | The server runs natively on x86-64 Linux; the maker also documents Docker, Windows Subsystem for Linux, virtual machines, and cloud provider options. | RDFox can run on a single machine or as a cluster distributing processing across multiple machines. |
| Founded | 1984 | 2017 |
| Headquarters | Lafayette, California, USA | Oxford, United Kingdom |
| Integrations | The documentation lists integrations with PoolParty, Cloudera Hadoop, MongoDB, Apache Solr, TopBraid Composer, Anaconda, and Racer. | RDFox was made available on AWS Marketplace through a DataLens partnership with pay-as-you-go deployment and connectors for SQL, CSV, XML, JSON, REST and unstructured data. |
| Product | AllegroGraph is a persistent graph database designed to scale to billions of quads, with disk-based storage and efficient memory utilization. | RDFox is a main-memory, scalable centralized data store for RDF graph data queried with SPARQL 1.1. |
| Security controls | Security features include role based permissions, repository access controls, security filters, and triple level controls using attributes. | Documentation covers access control, HTTPS endpoint configuration, logging, encrypted persisted data options and high-availability operations. |
Plans
RDFox
- Free evaluationFree
- RDFox free evaluation licenseFree
- AWS Marketplace RDFoxPriced on request
- RDFox commercial licensePriced on request
In their own words
AllegroGraph
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.
RDFox
RDFox is a main-memory data store for centralized RDF graphs, queried with SPARQL 1.1. It represents rules and ontological axioms with Datalog, OWL 2 and SWRL, and updates rule consequences as data changes; it can process 2–3 million new-fact inferences per second. Its supported knowledge-graph technologies include RDF, SPARQL 1.1, Datalog, SWRL, OWL 2 RL and SHACL. Java applications can connect through a native API, or RDFox can run as a standalone server through a REST API. Import and export formats include CSV, JSON, N-Triples, Turtle, TriG and OWL 2 Functional-Style Syntax. It can replicate knowledge and data changes across servers to maintain service during an outage, and deployments are described for cloud, on-premises, on-device and edge use. RDFox runs on Linux, macOS and Windows. Security features include encryption at rest, mutual-TLS client-certificate authentication and OpenID Connect single sign-on. Pricing is on request; the free 30-day evaluation license is restricted to evaluation and non-commercial use.