AllegroGraph vs Timbr
AllegroGraph
allegrograph.com
Timbr
timbr.aiSide by side
| Figure | AllegroGraph | Timbr |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 3 |
| Spec score · Knowledge Graph Software | 9.1 (#1) | 7.3 (#27) |
| Deployment | The server runs natively on 64-bit Linux; Windows and macOS users can use hosted service, Docker, WSL or a Linux virtual machine. | All plans are available as Timbr-hosted cloud, and Enterprise can also be self-hosted; on-premises deployment in a customer VPC or VPN is available by contacting Timbr. |
| Founded | 1984 | 2018 |
| Headquarters | Lafayette, California, USA | Raanana, Israel |
| Integrations | Documented integrations include MongoDB, Solr, Kubernetes, Docker, AWS and Azure marketplaces, plus Prometheus/Grafana monitoring. | The integration documentation lists data sources including Snowflake, Databricks, BigQuery, PostgreSQL, MongoDB, and Salesforce, plus BI tools such as Power BI and Tableau. |
| Product | AllegroGraph is a horizontally scalable semantic graph database for building Knowledge Graphs and integrating complex data. | Timbr is an ontology-based semantic layer that creates a virtual knowledge graph over existing data sources for enterprise AI and analytics. |
| Support | Franz states that it provides ongoing technical support and product maintenance for AllegroGraph customers. | The pricing page lists contact form support for Teams and an account manager for Business; the support page also describes Basic, Preferred, and Premium service levels. |
Plans
AllegroGraph
- FreeFree
- Free EditionFree
- EnterprisePriced on request
- Enterprise EditionPriced on request
Timbr
- BusinessPrice not published
- EnterprisePriced on request
- TeamsPrice not published
In their own words
AllegroGraph
AllegroGraph is a semantic graph database for building knowledge graphs and integrating complex data. It combines graph data with vector storage, symbolic reasoning and large language model integration. GraphTalker accepts natural-language questions about knowledge graphs and returns verified answers through an iterative, agent-driven process. Supported technologies include RDF, OWL, SPARQL, SHACL and Prolog rules, alongside reasoning. FedShard provides horizontal sharding and federation, combining query results from multiple machines. Analytics include geospatial, temporal and social-network analysis. Listed integrations include Solr, MongoDB and REST-based clients for Java, Python, RDF4J, Apache Jena and Lisp. The Free edition costs nothing and is limited to up to 5 million triples. Enterprise has no listed price and specifies unlimited triples with no server limit. AllegroGraph is available as a download or through cloud hosting, including AWS Marketplace and Azure Marketplace. The server runs natively on Linux x86-64; Windows or macOS use is recommended through a Linux virtual machine or Docker container.