Objectivity/DB

6 reviews

Objectivity/DB, the company’s flagship product and patented object orientated database technology, enables customers to maximize existing infrastructure to capture information needed to address evolving, complex, analytic requirements within Big Data.

ThingSpan enterprise graph and data fusion platform

0 reviews

ThingSpan is an enterprise-grade, massively scalable distributed platform designed for graph analytics and real-time relationship discovery. It enables organizations to analyze connections across multiple data sources in real-time, facilitating rapid navigation and pattern-finding within complex datasets. By integrating with industry-standard open-source technologies such as Apache Spark, Kafka, YARN, and Hadoop, ThingSpan ensures cost-effective scalability on commodity clusters. Its architecture supports both structured and unstructured data, allowing for immediate analysis of streaming data from IoT sensors and other sources, thereby providing timely insights and actionable intelligence. Key Features and Functionality: - Real-Time Graph Analytics: Facilitates immediate discovery of relationships and patterns within data, enabling swift decision-making. - Integration with Open-Source Technologies: Seamlessly works with Apache Spark, Kafka, YARN, and Hadoop, ensuring compatibility and scalability. - Support for Structured and Unstructured Data: Capable of ingesting and analyzing diverse data types from various sources, including IoT devices. - High-Speed Performance: Organizes data into real-world objects, eliminating inefficiencies associated with traditional relational databases and supporting data volumes beyond the petabyte level. - Parallel Ingestion and Analytics: Allows simultaneous data collection and analysis, reducing latency and enhancing responsiveness. Primary Value and Problem Solved: ThingSpan addresses the challenge of uncovering hidden relationships and patterns within vast and complex datasets in real-time. By providing a scalable and efficient platform for graph analytics, it empowers organizations to transform raw data into meaningful insights swiftly. This capability is crucial for applications requiring immediate interpretation of streaming data, such as those involving IoT sensors, where timely analysis can lead to proactive decision-making and competitive advantages.