PuppyGraph Lands $5 Million Seed Funding

<p><strong>SAN FRANCISCO<&sol;strong> &&num;8212&semi; PuppyGraph&comma; the first and only graph query engine&comma; announced its &dollar;5 million seed funding round led by defy&period;vc&period; The zero-ETL unlocks real-time graph analytics for enterprises&period; This power translates into significant industry benefits&comma; from generating GraphRAG to enhance LLM accuracy and reduce hallucinations&comma; to real-time fraud detection and robust cybersecurity analyses&period; 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&period;<&sol;p>&NewLine;<p>Traditional SQL operations struggle with complex&comma; interconnected data&comma; often becoming cumbersome and verbose&period; Graph query languages excel at modeling intricate traversal queries across dense data networks but are typically tied to systems that couple the query and storage layers&comma; complicating scalability&comma; adoption&comma; and maintenance&period;<&sol;p>&NewLine;<p>Being the first graph query engine&comma; PuppyGraph brings a new paradigm shift where now users can query a single copy of data in both SQL and graph at the same time&period; For individuals familiar with SQL and venturing into graph analytics for the first time&comma; PuppyGraph simplifies the process of data preparation&comma; aggregation&comma; and management by utilizing the data lake and tools they are already comfortable with&period; This design allows users to bypass the complexities of graph query languages for regular tasks&comma; reserving these languages solely for specific graph-related inquiries like graph traversals&period; By streamlining these processes&comma; PuppyGraph not only significantly reduces the learning curve but also boosts operational efficiency&period; This allows enterprises to continue using their SQL data stores while benefiting from graph-specific capabilities like complex pattern matching and efficient pathfinding&period;<&sol;p>&NewLine;<p>PuppyGraph integrates effortlessly with widely-used data lakes and warehouses&comma; including Apache Iceberg&comma; Delta Lake&comma; Apache Hudi&comma; DuckDB&comma; Databricks&comma; Snowflake&comma; AWS Redshift&comma; BigQuery&comma; CelerData&comma; Hive&comma; SingleStore&comma; MySQL&comma; and PostgreSQL&comma; among others&period;<&sol;p>&NewLine;<p>While the native graph storage systems can take months to set up due to building complex data replication process&comma; PuppyGraph goes from deployment to query in just 10 minutes&comma; handles petabyte-scale data with ultra-low latency&comma; executing 10-hop neighbor queries across half a billion edges in just 2&period;26 seconds&period;<&sol;p>&NewLine;<p>Since its launch in March 2024&comma; PuppyGraph has quickly gained traction and is now in production within industry leaders such as <b>Coinbase&comma; Clarivate&comma; Dawn Capital<&sol;b> and numerous enterprises&period; <b>Prevalent AI<&sol;b>&comma; an ISTARI Collective member and a Cyber Security leader&comma; is integrating its Security Data Fabric offering used by large enterprises with PuppyGraph&period; Significant product advancements have also been made&comma; including adding support for major data sources like Unity Catalog&comma; SingleStore&comma; Vertica&comma; and IBM watsonx&period;data&period;<&sol;p>&NewLine;