Sold by: graph.build
Deployed on AWS
Transforms data from SQL Databases into Knowledge Graph or Labelled Property Graph structures.
Overview
The SQLTransformer allows for fully automated translation from SQL Database data, 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 graph 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
SQL 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 | $2.558 |
Dimensions summary
You pay for this product by the container hour. Billing tracks how long the SQL Transformer container runs, so your cost scales with actual runtime. There are no fixed tiers or seat licenses. If you run the container longer or run more containers, you accrue more hours. Each transformer deploys as its own container, so you only pay for the runtime you use. This usage-based model means costs rise and fall with your processing activity rather than a set commitment.
Top-of-mind questions for buyers
A container hour tracks the time the SQL Transformer container runs. Each transformer deploys as its own container. If you run one container for one hour, you accrue one container hour. Running multiple containers at once, or one container longer, adds more hours to your total.
Billing meters runtime, so charges accrue only while the container runs. A stopped container does not add container hours. Underlying AWS resources may still incur separate fees when provisioned, but the software charge tracks running time only. Your cost falls when processing activity stops.
The single billing metric is container runtime, not data volume or source count. Ingesting from a database, processing larger data sets, or running complex transformations does not add a separate charge. These factors only affect cost if they make the container run longer, which adds more hours.
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Legal
Vendor terms and conditions
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Delivery details
SQL 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/308445290/SQL+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
Graph Data Format Support
Transforms SQL database data into RDF1.1 (N-QUADS format) or Labelled Property Graph CSV structures
Database Compatibility
Supports all common graph databases with full compatibility with Amazon Neptune
Semantic Web Standards Compliance
Implements 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
Automated Data Translation
Performs fully automated translation of SQL database schemas and data into graph-compatible formats
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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