Sold by: graph.buildÂ
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
Sold by
Delivery method
Supported services
Delivery option
Structured File Lens
Latest version
Operating system
Linux
Deployed on AWS
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Features and programs
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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 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Structured File Lens
Supported services: Learn moreÂ
- 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
Support for multiple labels when creating LPG data
Additional details
Usage instructions
Documentation can be found at https://data-lens.atlassian.net/wiki/spaces/DLD/pages/308445237/Structured+File+Lens+User+GuideÂ
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours support@graph.buildÂ
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 Rubie
Top
10
In Big Data, Business Intelligence & Advanced Analytics
Top
100
In Data Integration, Business Intelligence & Advanced Analytics
Top
25
In ELT/ETL
AI generated from product descriptions
Data Format Conversion
"Automated translation of semi-structured files including XML, JSON, CSV, XLSX, and ODS into graph data formats"
Graph Data Standard Compatibility
"Generates fully compatible RDF1.1 data (N-QUADS) and Labelled Property Graph CSV formats"
Semantic Web Standards Support
"Implements W3C Semantic Web Standards including RDF1.1 and SPARQL1.1"
Graph Database Interoperability
"Platform-agnostic tool with support for multiple graph database systems"
Provenance Tracking
"Integrated provenance tracking as a standard feature for data transformation processes"
Multi-Model Database Support
Supports both relational tables and RDF graph data models with native query capabilities
Query Language Compatibility
Enables querying using SPARQL and SQL database query languages
Data Virtualization
Provides advanced data virtualization, replication, and integration functionality
Performance Architecture
Columnar database design with high-performance processing capabilities
Security Framework
Secure platform with unrestricted user connections and CPU affinity-based configuration
Data Mapping Capability
AI-powered automated data extraction and transformation across structured and unstructured data sources
Agent-Based Architecture
Intelligent software agents capable of navigating and extracting data from complex and hard-to-reach systems
Pipeline Configuration
No-code data pipeline builder enabling configuration without technical programming skills
Source System Compatibility
Supports data ingestion and migration across diverse enterprise systems like CRMs and ERPs
Transformation Engine
Automated data migration and transformation capabilities using advanced algorithmic mapping techniques
Standard contract
No
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