Transforms semi-structured data including XML, JSON, CSV, XLSX, and ODS into RDF or Labelled Property Graph formats for knowledge graph and graph database applications.
The Graph.Build Semi-Structured Transformer automates the conversion of semi-structured data sources including CSV, JSON, XML, XLSX, and ODS into graph-ready data formats for modern knowledge graph and graph database platforms.
Generate standards-compliant RDF 1.1 (N-QUADS) or Labelled Property Graph CSV outputs with integrated provenance support. Designed for scalability and interoperability, the transformer enables rapid ingestion of enterprise data into semantic web, linked data, analytics, and graph AI workflows.
The platform is lightweight, highly scalable, and platform-agnostic, with compatibility across common graph database technologies and graph processing environments.
Highlights
Convert CSV, JSON, XML, XLSX, and ODS files into RDF or Labelled Property Graph data formats
Built-in provenance support for improved traceability, governance, and data lineage
Compatible with semantic web and graph database workflows including SPARQL and RDF standards
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract charges by the number of Semi-Structured Transformer Hosts you run. A Host is a scalable, independent processor that turns a data source into graph data. Pricing is based on a single unit: Hosts. You scale cost up or down by adding or removing Hosts. A basic setup might use one Host, while larger productions can run several. There are no separate tiers or size options here. Your total depends only on how many Hosts you commit to under the contract term.
Top-of-mind questions for buyers
What counts as one Host for billing purposes?
A Host is one scalable, independent processor, called a Transformer, that turns a data source into graph data. Each Transformer runs in its own container. Each type specialises in a source, such as documents, structured files, SQL databases, or RESTful endpoints. You count each running Transformer as one Host.
What happens to my cost if I add more data sources over time?
You add Hosts as your source needs grow. Each Transformer handles one type of data source, so covering more source types can mean running more Hosts. You can also swap a Transformer to a different source type over time while keeping the same graph model. Your cost tracks the number of Hosts you run.
Does one Host cover both deployment on AWS and on-premise?
Each Host is deployed as its own container. You can run these containers in the cloud through AWS or on-premise through container tooling. The Host count is what drives billing, regardless of where you deploy. Deployment location does not add a separate pricing dimension here.
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Version release notes
Smaller memory footprint during transformations
Increased memory allocation for java heap within the docker container
Improvements to AWS License Manager token checkins during unexpected shutdowns
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