Sold by: graph.build
Deployed on AWS
Transforms semi-structured files (XML, JSON, CSV, XLSX, ODS) into graph data.
Overview
The Semi-Structured Transformer allows for fully automated translation from semi-structured data such as CSV, JSON, XML, XLSX, and ODS into fully compatible RDF1.1 data (N-QUADS) or Labelled Property Graph CSV. With provenance as standard, this lightweight, highly-scalable, platform-agnostic tool has support for all the common Graphs Databases.
Highlights
- Fully compatible with Amazon Neptune
- Provenance included as standard
- W3C Semantic Web Standards supported: RDF1.1, SPARQL1.1
Details
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Delivery method
Supported services
Delivery option
Structured File Lens
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $2.137 |
Dimensions summary
You pay for this product by the container hour. The Semi-Structured Transformer runs as an independent processor in its own container. Your cost scales with how long that container runs. There are no tiers or fixed commitments to choose from. The more hours you run the Transformer, the more you pay. This single usage-based dimension lets your cost track actual runtime rather than a flat subscription. You can run the Transformer only when you need to ingest or transform data.
Top-of-mind questions for buyers
One container hour is 60 minutes that the Semi-Structured Transformer runs as an independent processor in its own container. The Transformer runs in a dedicated container, so billing tracks the running time of that container. Partial hours accrue based on how long the container stays active.
Charges apply for the hours the container runs. When you stop the container, software charges stop accruing. You can run the Transformer only when you need to ingest or transform data, then shut it down. Underlying AWS resource fees may still apply separately from this software charge.
No separate charge applies. You pay by container hour regardless of the work the Transformer does. Change Data Capture, built-in functions, and any custom functions you load all run inside the same container. Longer-running jobs mean more container hours, which is the only factor that raises your cost.
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Delivery details
Structured File Lens
Supported services: Learn more
- Amazon ECS
- Amazon EKS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
- Improvements to the RDF to Property Graph converter
Additional details
Usage instructions
Documentation can be found at https://data-lens.atlassian.net/wiki/spaces/DLD/pages/308445237/Structured+File+Lens+User+Guide
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours support@graph.build
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By graph.build
By OpenLink Software
By metaphacts GmbH
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In Big Data, Business Intelligence & Advanced Analytics
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AI generated from product descriptions
Input Format Support
Transforms semi-structured files including XML, JSON, CSV, XLSX, and ODS formats
Output Format Compatibility
Converts data into RDF1.1 (N-QUADS) or Labelled Property Graph CSV formats
Graph Database Integration
Fully compatible with Amazon Neptune and supports all common graph databases
Semantic Web Standards Compliance
Supports W3C Semantic Web Standards including RDF1.1 and SPARQL1.1
Provenance Tracking
Includes provenance tracking as a standard feature for data lineage and audit trails
Multi-Model Database Management
Supports both relational tables and RDF graphs within a single integrated database management system
Query Language Support
Provides support for SQL, SPARQL, GraphQL, ODBC/JDBC, HTTP, and MCP protocols for data access and integration
Data Virtualization and Replication
Includes advanced data virtualization, replication, and integration capabilities for managing distributed data sources
Access Control
Implements fine-grained, attribute-based access controls for secure data management
LLM Integration Infrastructure
Delivers infrastructure for developing and deploying Large Language Model-based AI Agents and Assistants with loose coupling to data spaces including databases, knowledge graphs, filesystems, and APIs
Graph Database Compatibility
Supports Amazon Neptune and any SPARQL 1.1 compliant graph database
RDF Data Management
Provides UI for data loading, ontology library, SPARQL query interface, query catalog, and data quality dashboard for RDF data and ontology management
Web Component Framework
Includes pre-built Web components for search, exploration, authoring, editing, visualization, and graph data interaction that can be configured and combined for rapid development
Knowledge Graph Lifecycle Support
Supports authoring, curating, editing, exploring, integrating, searching, and visualizing of Knowledge Graphs
FAIR Data Compliance
Implements FAIR Data principles for Knowledge Graph management and enterprise data governance
Standard contract
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