Rocketgraph, a leader in high-performance, no-code graph analytics, has launched Aurora, a fully-managed, cloud-native platform designed to streamline graph analytics deployment. Based in Redwood City, California, Aurora enables businesses to harness cloud-based data insights with unmatched scalability and efficiency.
Rocketgraph introduces Aurora, a cloud-native graph analytics platform.
Fully-managed service eliminates on-prem infrastructure complexity.
Integrates seamlessly with cloud data and applications for scalability.
Deployable in minutes, enabling rapid insight extraction.
Cost-effective with contract-based billing for flexible capacity.
Built for high availability, reliability, and disaster recovery.
As businesses increasingly migrate to cloud environments, traditional on-premises analytics platforms have become costly and complex to maintain. Rocketgraph’s Aurora addresses these challenges by offering a fully-managed, cloud-native solution that eliminates the need for managing servers, software, or updates. This allows companies to focus on deriving actionable insights rather than infrastructure overhead.
Aurora’s cloud-native architecture integrates directly with cloud-based data and applications, providing a seamless and secure platform for graph analysis. “We’re providing businesses with a faster, more accessible way to use graph analytics in the cloud,” said Walt Maguire, Vice-President of Product at Rocketgraph. “With Aurora, data analysts can start extracting valuable insights in minutes, seamlessly integrate with their existing cloud data, and significantly reduce the complexity and risk associated with managing an on-prem solution.” The platform is deployable in minutes, ensuring rapid time-to-value for data analysts.
Built on cloud scalability, Aurora offers high availability and disaster recovery, ensuring reliable performance for mission-critical applications. Its contract-based billing model allows businesses to pay only for the capacity and license duration needed, avoiding significant upfront infrastructure investments. This cost-effective approach makes advanced graph analytics accessible to organizations of varying sizes.
Aurora empowers enterprises to uncover complex insights from large datasets, supporting use cases such as fraud detection, network security, and fine-tuned forecasting. By leveraging Rocketgraph’s no-code interface and cloud-native design, Aurora simplifies graph analytics, enabling analysts to deliver results without requiring extensive technical expertise or infrastructure management.
Rocketgraph’s Aurora launch represents a significant step forward in making graph analytics more accessible and efficient for cloud-focused businesses. By eliminating infrastructure barriers and delivering scalable, high-speed insights, Aurora positions organizations to thrive in data-driven environments.
Rocketgraph enables enterprises and government agencies to discover the hardest-to-find insights without hiring a command center full of rocket scientists. Born out of a high-performance computing project at the Department of Defense, our graph analytics platform allows an analyst to use GenAI to do iterative analysis with the largest, most complicated datasets on the planet and get answers hundreds of times faster than with traditional graph tools. Rocketgraph builds property graphs that scale to hundreds of billions of edges. Our customers build fine-tuned forecasts, detect sophisticated fraud schemes, monitor nefarious activity on the dark web, keep their networks secure, answer their most challenging questions, and discover the impossible.
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