Data Management Suite
Unlock the hidden value of your company’s data using advanced data management solutions.
The Data Management Suite provides the core infrastructure tools to transform raw enterprise data into a rich, interconnected AI-ready Knowledge Graph. It achieves this by consolidating and cleaning data from various sources and formats.
Our Data Management Solution comprises our semantic graph database (GraphDB), an AI-assisted taxonomy and ontology management tool (Graph Modeling), and an automated data-integration framework (Graph Automation). Together, these tools help enterprises effortlessly scale their intelligent systems with well-structured and classified data, unlocking hidden connections and deriving actionable insights.
Components
Components of the Data Management Suite
A semantic graph database that stores your company’s data as an interconnected web of facts, supporting RDF and SPARQL standards and applying multi-hop reasoning to automatically uncover new insights.
An AI-assisted taxonomy and ontology management tool that builds a shared dictionary of your business rules to ensure every department, system, and AI application share the exact same context.
An enterprise automation pipeline that orchestrates data ingestion, processing, and system integration at scale to turn messy, siloed information into clean, connected, AI-ready knowledge.
Use cases
Unify Data and Add Business Context
Highlighted features
High-Performance Load, Query, & Inference
- Custom logic rules for automated consistency checking
- Fast semantic reasoning that dynamically updates and removes outdated facts in real timeCategorisation of documents or paragraphsSentiment and sense identification
Universal Semantic Standards Compliance
- Full support for W3C standards (RDF 1.1, SPARQL 1.1) and RDF-Star/SPARQL-Star extensions
- Industry-standard rulesets (RDFS, OWL 2 RL, and QL)
- 100% plug-and-play compatibility with the open-source RDF4J framework
Connectors and Extensible APIs
- Flexible Plugin API for custom engine extensions and geo-spatial indexing (GeoSPARQL)
- Native connectors for scalable document storage and streaming (MongoDB, Kafka)
- Built-in enterprise search integration (Elasticsearch, Solr, and Lucene)
Transform, Integrate and Reconcile
- Intuitive, visual workflow engine to seamlessly transform relational data into graph data (RDF)
- Virtual query endpoints to access external data silos without moving them
Low-Code Visual Pipelines
- Intuitive drag-and-drop data processing units (DPU)
- Connections to enterprise APIs, remote databases, servers, and external endpoints
- Granular control over data pipeline visibility, privacy, and user access
Data Quality Assurance
- Real-time progress and performance monitoring across data pipelines
- Extensive debugging and data validation tools to maintain data integrity at every stage
Services
Access to the Graphwise Help Desk
Team member support from 8 a.m. to 5 p.m. CEST on weekdays
Detailed Help documentation
Not sure where to start?
Our low-risk accelerator program is designed to prove the power of GraphAI with your data and use cases. Get tangible results and a clear path to success with our expert-guided approach.
Explore Our Success Stories:
Managing Product Conformity at Scale with Semantic Knowledge Graph
Sika used Graphwise Data Management Suite to manage product conformity assessment across hundreds product lines & multiple regulatory verticals.
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Turning a Legacy Thesaurus into a Strategic Knowledge Asset
With Graphwise’s Data Management Suite, CABI transformed its outdated, single-use thesaurus for smarter search.
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JobTeaser: Building Tailored User Profiles for Career Navigation with Ontologies
JobTeaser used Graphwise’s Data Management Suite to build ontologies and controlled vocabularies.
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Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence
Sensing Clues implemented Graphwise’s Knowledge Management Suite to build vast organizational knowledge models.
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