Articles from PuppyGraph

PuppyGraph, the first real-time, zero-ETL graph query engine, today announced native integration with Managed Iceberg Tables on the Databricks Data Intelligence Platform. This milestone allows organizations to run complex graph queries directly on Iceberg Tables governed by Unity Catalog- no data movement and no ETL pipelines.

PuppyGraph, the first real-time graph query engine built to work directly on modern data lakes and warehouses, announced today that it has achieved the Google Cloud Ready – BigQuery and Google Cloud Ready – AlloyDB designations. These validations signal that PuppyGraph’s platform has met Google Cloud’s interoperability standards and is optimized to support high-performance graph analytics for enterprise-scale data.

PuppyGraph, the first and only graph query engine, announced today its $5 million seed funding round led by defy.vc. The zero-ETL unlocks real-time graph analytics for enterprises. This power translates into significant industry benefits, from generating GraphRAG to enhance LLM accuracy and reduce hallucinations, to real-time fraud detection and robust cybersecurity analyses. It also revolutionizes logistics for retail and supply chains and transforms healthcare outcomes by efficiently revealing deep insights from extensive biological and patient data relationships.

PuppyGraph, a pioneering force in graph analysis, announced today that it has emerged from stealth mode with seed funding and launched the first and only graph query engine, transforming traditional data storage into dynamic graph engines. This innovation simplifies data storage, obsoleting graph database complexities and streamlining AI integration for advanced analytics and Large Language Models (LLMs).