Knowledge Graph Software
Transform Your Data and Analysis with A Unified Knowledge Graph
Managing enterprise data is increasingly difficult due to the challenges in establishing a common understanding of the data across the organization, as well as the complexity of integrating diverse data sources and formats.
This often results in data silos that prevent a holistic view of organizational data, hiding key information, lacking context, and hindering effective reasoning and decision-making capabilities. These challenges highlight the need for a more integrated and efficient approach, such as adopting a Unified Knowledge Graph software like DataWalk.
The most comprehensive and extensive, unified knowledge graph in the industry
The DataWalk Unified Knowledge Graph seamlessly integrates the strengths of graph and relational databases into a single, cohesive platform. This unified approach merges features from RDF knowledge graph and labeled property graph (LPG model) and supplements it with inferencing and visual queries with OLAP, and Vector database capabilities for search and similarity metrics, all within one database. Users can easily integrate, organize, and analyze diverse data sources through intuitive no-code and low-code interfaces. By combining graph algorithms, inference, AI, and robust OLAP features like pivots and data slicing, DataWalk delivers a powerful, scalable solution for advanced analytics and data-driven decision-making, leveraging features from both RDF models and graph data models for scalability and efficiency.
One-stop Solution with knowledge graph
DataWalk combines Knowledge Graph with Ontology, Reasoning, Graph and Relational capabilities, LLMs, Search, and in-database Machine Learning into a single solution.
Unified Graph Capabilities
DataWalk Knowledge Graph software simultaneously offers the capabilities of both RDF and LPG models, enabling scalable inference, flexible model extension, graph algorithms, querying, and graph traversal operations.
No-code modeling and analytics
DataWalk offers a no-code interface, enabling users to easily generate a broad range of hypotheses and queries and iteratively build reliable answers with full traceability of every intermediate step.
Seamless Transformation
DataWalk utilizes its graph/relational capabilities to effortlessly integrate with existing data sources, allowing for a smooth transition from the relational world to graph data models without developing new expertise.
Comprehensive Functions for Business Users
DataWalk offers a complete set of business functions, including scoring, maps, visual queries, summaries, and link charts, tailored for use cases like AML, anti-fraud, and intelligence analysis.
Powerful Inference Engine
DataWalk’s scalable inference engine derives new insights by applying advanced rules and logic, seamlessly integrating graph pattern matching, virtual paths, and indirect connections, optimizing performance and decision-making.
Empowering Economic Model
DataWalk provides full system ownership, vendor independence, and competitive pricing. With a robust knowledge base and comprehensive training, users can make system changes independently, ensuring efficiency and reducing reliance on external support.
Continuous Extensibility
DataWalk enables custom app creation within the platform. The application development framework allows safe script insertion and open-source app execution, directly using data and analytics in DataWalk.
Easily Create And Execute No-code, Contextual Queries Via The DataWalk Knowledge Graph
DataWalk’s knowledge graph software offers intuitive, powerful querying with a visual interface that requires no programming. Easily generate and track queries by traversing and filtering data sets, with unique DataWalk technology ensuring quick completion of even complex queries. Queries can be saved, shared, and reused by authorized users.
AI-Enhanced Knowledge Graphs
DataWalk’s platform leverages AI models, including LLMs, Natural Language Processing (NLP), Computer Vision (CV), and Automatic Speech Recognition (ASR), to enrich the Knowledge Graph with features like Entity Extraction, Entity Resolution, Text Summarization, or Object Detection. These models can be locally hosted for security, and users can integrate custom models via the App Center, Kedro, or external APIs.
Improving LLM Accuracy with Knowledge Graph Integration
The popularity of AI is exploding via the use of Large Language Models (LLMs), and DataWalk can make your LLMs more effective. DataWalk incorporates your organization’s knowledge with valuable context and relationship information so that the LLM summary is grounded in facts. The responses are more relevant, accurate, and trusted and can include links to the documents upon which the summary response was generated. DataWalk can act as an agent, breaking down a question into appropriately sized tasks and sequencing them to the LLM via the DataWalk API. By incorporating steps that include human review you can further improve accuracy.
Key Benefits of Our Unified Knowledge Graph
Benefit from an Enterprise-class System
DataWalk Unified Knowledge Graph software is designed to serve as a key component of an enterprise workflow, integrating seamlessly with IT data pipelines and adhering to best practices in data governance. It offers comprehensive lineage, audit capabilities, and a granular security model, ensuring high availability and compliance with enterprise IT requirements.
Who we helped
DataWalk's solutions are trusted by leading government organizations, intelligence agencies, banks, and more. Our platform is designed to meet the demanding needs of enterprises that require robust, scalable, and secure knowledge graph solutions.
Solve the challenges of analyzing
connected big data across a variety of use cases.
BY SECTOR
Grounding Large Language Models with Knowledge Graphs for Superior Results
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