Graph Technologies for Applications, Analytics and AI
World class knowledge graph technology company powering critical AI and business intelligence applications. Our flagship products KG Connect and GraphLake enable organisations to create graphs and then use them to deliver high performance graph solutions for a range of problems.
GraphLake is a novel MPP style graph database. Inspired by things such as Apache Iceberg, it adopts an open file format for graph storage upon which sits a graph compute engine.
GraphLake offers support for OneGraph (RDF and LPG) and provides unified analytics and OLTP workload support. It features an embedded Javascript Query Engine, Semantic Open Cypher (draft), and a subset of the SPARQL query language. The platform is designed for high performance with highly parallelized query and ingestion capabilities, achieving BSBM load of 100m triples in around 4 minutes. Additionally, it includes smart, continuous compaction with no hang. One key feature is the support for Point in Time queries and zero cost database cloning and branching. GraphLake supports multiple storage backends such as S3, Local disk, and Azure.
GraphLake is free for developers forever and competitively priced for businesses. This makes it an ideal solution for organizations looking to leverage graph technologies for their applications, analytics, and AI needs.
Visit SiteKG Connect (KGC) is a knowledge graph integration engine specifically designed for creating and continuously maintaining a knowledge graph from many different structured data sources. It provides connectors, a jobs engine and support for transformation with javascript. It reduces the time and complexity of creating mappings, dealing with jobs and update strategies so development teams can focus on getting value from the knowledge graph.
KGC is based on a few key concepts. The KGC engine is a jobs engine for moving and transforming data. It also provides dataset storage and caching to support data publishing, change data capture and data set construction. Data Layers are the connectors that expose the raw data from source systems and also perform the basic graph mapping, including giving nodes unique identifiers. KGC has the concept of entities as the building block of data representation. These few basic constructs are combined to build a powerful eco-system of turning structured data into graph data and keeping the target knowledge graph system up-to-date.
Connectors exists for file based, database and streaming sources. Change data capture is provided based on either the native system capabilities or by datasets difference checks. Data source inspectors automate much of the data source to graph mapping, and integration with VSCode and Copilot provides seamless tooling for generating javascript transformations to align data with target ontologies.
Contact us for more information...
Graph technologies are revolutionizing the way organizations manage, analyze, and derive insights from their data. By representing data as interconnected nodes and edges, knowledge graphs provide a powerful framework for modeling complex relationships and uncovering hidden patterns in data. Whether you're looking to enhance data integration, improve search and recommendation systems, or enable advanced analytics, knowledge graphs offer a versatile and scalable solution for a wide range of applications.
Integrate and unify diverse data sources seamlessly with our knowledge graph platform. By connecting structured and unstructured data from different databases, APIs, and external sources, a knowledge graph creates a unified view of your organization’s data. This enables seamless data interoperability and reduces silos, allowing teams to access and leverage the right data at the right time, leading to more informed decisions and improved collaboration.
Gain deeper insights from your data by revealing complex relationships, patterns, and trends that traditional data management systems often miss. Knowledge graphs enable advanced analytics, such as graph-based machine learning, to provide powerful insights into your data. From customer behavior analysis to market trends and risk assessment, our platform supports data scientists and analysts in discovering actionable insights faster and more accurately.
Improve your search and recommendation capabilities with a knowledge graph that understands context and relationships. By providing a semantic layer on top of your data, our platform enables smarter search and recommendation engines that deliver highly relevant, context-aware results. This is ideal for e-commerce platforms, content providers, and information services that want to personalize user experiences and drive engagement.
Detect fraudulent activities and potential risks more effectively with graph-based analysis. Knowledge graphs can model complex relationships and patterns in financial transactions, user behaviors, and network activities. By identifying anomalies and connections that signal fraudulent activities or security threats, our platform helps organizations in banking, insurance, and cybersecurity to proactively detect, prevent, and respond to risks.
Strengthen security and compliance by leveraging knowledge graphs for identity and access management. Our platform allows you to model and analyze user roles, permissions, and activities within a network, making it easier to detect unauthorized access and enforce security policies. This is particularly beneficial for organizations dealing with sensitive data and strict regulatory requirements, such as healthcare, finance, and government sectors.
Create a comprehensive 360-degree view of your customers by integrating data from multiple touchpoints, including CRM systems, social media, and customer support. A knowledge graph enables you to connect and visualize customer interactions, preferences, and behaviors, facilitating personalized marketing, improved customer service, and more effective engagement strategies.
Automate complex processes and improve operational efficiency by leveraging the power of knowledge graphs to model business processes, workflows, and decision logic. By visualizing dependencies, identifying bottlenecks, and optimizing resources, our platform helps businesses streamline operations and reduce manual efforts, leading to cost savings and increased productivity.
Enrich your data with semantic context to improve data quality and reliability. Knowledge graphs enable the enrichment of existing datasets with external knowledge bases, ontologies, and taxonomies, providing a richer understanding of data. This is crucial for organizations looking to enhance data governance, data stewardship, and overall data quality management.
Analyze and visualize dynamic relationships and networks within your data to understand complex systems and their interactions. Whether it’s social network analysis, supply chain optimization, or understanding entity relationships in scientific research, knowledge graphs provide a powerful tool to explore and interpret interconnected data.
Empower your team to interact directly with your knowledge graph using natural language. With our “Talk with Your Graph” feature, you can leverage Large Language Models (LLMs) to dynamically generate complex SPARQL or Cypher queries over your knowledge graph without needing deep technical expertise. Simply ask questions or describe the insights you want, and our platform translates those inputs into precise queries that retrieve the information you need.
This AI-powered approach makes data exploration accessible to everyone—from business users to data analysts—enabling them to derive value from the knowledge graph effortlessly. Whether you want to find connections between entities, analyze trends, or retrieve detailed reports, our intuitive conversational interface simplifies the process, reduces dependency on specialized query language skills, and accelerates data-driven decision-making. This capability is perfect for enhancing BI tools, customer support systems, and any domain where quick, interactive access to complex data is essential.
DataPlatform Solutions A/S is based in Oslo and can be reached at contact @ dataplatformsolutions.com
None of our applications or websites use cookies, or store or share any user data.