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 of the Data Management Suite
Graph Modeling
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.
Graph Automation
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.
Unify Data and Add Business Context
Build, consume, govern enterprise knowledge graphs
Position
- Unify data via a shared model.
- Avoid misinterpretation via semantics.
- Manage data quality and trace provenance.
- Employ standards to avoid vendor lock-in.
Connect the dots across your IT systems
Position
- A data fabric to gain unified access to your structured data.
- Semantic models to search and recommend
- Uncover new relationships with reasoning.
Unlock the power of AI & LLM
Position
- Talk to your graph in using a no-code RAG
- Natural Language Query your graph from LangChain
Explore and clean your data efficiently
Position
- Explore and understand your data.
- Easily filter, edit and clean-up inconsistencies
- Work with raw data in many formats – TSV, CSV, *SV, XLS, XLSX, JSON, XML.
Map and transform data to RDF schemas
Position
- Intuitive RDF-ization workflow for modern data management solutions.
- Access transformed data through virtual SPARQL endpoint.
- Save and apply transformations in batch mode
Streamline data integration
Position
- Reconcile raw data with remote reconciliation endpoints or custom-built endpoints.
- Integrate transformed data easily into existing knowledge graphs
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 time
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
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.