Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Graph-IT positions “Graph” as a next-generation graph database, as well as a development and modeling tool. Its core goal is not merely to store data, but to organize information in complex systems using graph structures, with a particular focus on enterprise business process modeling. The page repeatedly emphasizes that the “non-standard” parts of a company are often where its competitive advantages lie. Graph-IT therefore aims to complement personalized process design without disrupting standardized ERP processes.
Its model consists of nodes, attributes, and connections. Nodes represent real-world concepts, such as a shopping cart; attributes can have data types, such as Currency; and connections describe relationships and cardinality constraints between nodes. One notable feature is “data functions”: node attributes can be calculated based on their own values and the attribute values of neighboring nodes. For example, the net price of a shopping cart can be derived by summing the net prices of its cart items. Graph is also described as an event-driven database: when the properties of related objects change, the relevant attributes are automatically recalculated.
Another key point is its self-describing capability. Graph also stores the model itself within the graph. The so-called Graphserver defines metadata such as nodes, attributes, connections, and data functions. This means it is not only a runtime data store, but also plays a role in model management. The page says it uses very few elements, with the goal of enabling process owners to participate in modeling after only a brief introduction, lowering the barrier for business users to understand the system.
The main content does not provide any information on pricing, licensing, editions, trials, or payment methods. It is also unclear whether it is open source. Although the recruitment copy includes the phrase “OpenSource is the future?”, this is not enough to conclude that the product is open source. API/SDK availability, supported languages, deployment methods, and self-hosting capabilities are not disclosed. In terms of ecosystem, the only clear statement is that it can be used alongside ERP systems as a complement for personalized process design, but no specific connectors or integration list is provided.
Its main strength is a clear concept: using a simple graph model to express complex, rapidly changing business processes, with support for event-driven computation. It is suitable for highly customized enterprise workflows, complex relationship modeling, and extensions around ERP systems. The downside is that the public materials are rather conceptual and lack developer documentation, installation instructions, APIs, performance information, case studies, and commercial terms. The footer shows 2014, so its current maintenance activity is also difficult to assess.
Access from China cannot be determined from the main content, and payment methods are not disclosed. If you need a mature graph database, you can compare it with Neo4j, ArangoDB, TigerGraph, JanusGraph, or Amazon Neptune. If your goal is closer to business process orchestration, BPM tools such as Camunda, Flowable, and Bonita are worth evaluating.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on graph-it.com official site.
graph-it.com is an Germany Managed DB provider. TG4G tracks its product information, an overall rating of 5.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach graph-it.com directly.