SAN FRANCISCO--(BUSINESS WIRE)--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).
PuppyGraph introduces a groundbreaking approach to graph analytics, seamlessly integrating with popular data lakes and warehouses such as Apache Iceberg, Apache Hudi, Delta Lake, DuckDB, Snowflake, AWS Redshift, BigQuery, Hive, MySQL, PostgreSQL, CelerData, and more. Its analytics engine leverages the Lakehouse architecture, enabling users to conduct native graph queries across their existing relational data stores without the traditional barriers of cost, latency, and maintenance overhead of a graph database.
"In a rapidly evolving data landscape, we see PuppyGraph as a key component in unlocking the intricate potential of data relationships, whether that be in the AI space or in more traditional graph databases spaces, such as fraud detection,” says Weimo Liu, CEO of PuppyGraph. “PuppyGraph's graph query engine enables organizations to swiftly navigate intricate data networks, facilitating transformative real-time decision-making and significantly lowering total ownership costs compared to legacy systems, without the complexities of traditional graph databases.”
Graph technology is vital to any AI-driven data architecture as they are the most effective way to understand complex relationships in traditional analytics while also providing LLMs and Retrieval Augmented Generation (RAG) solutions with the context and accuracy needed to eliminate hallucinations and erroneous outputs.
When it comes to adoption, PuppyGraph is already seeing strong traction amongst industry leaders. Clients of PuppyGraph include Coinbase, Clarivate, Alchemy Pay, Protocol Labs, etc., who are already benefiting from PuppyGraph's innovative approach to exposing graph capabilities on top of their existing data.
"After evaluating a few different graph solutions, we struggled to find one that could scale to our data needs," shares Hongliang Liu, Director of Data Science at Clarivate. “PuppyGraph’s approach, decoupling the query engine from the storage, enabled us to connect to our data files and perform analytics across different data categories; this could assist with unlocking insights and new possibilities.”
For more about how PuppyGraph is shaping the future of data analytics and to explore its unique capabilities, visit www.puppygraph.com.
About PuppyGraph:
PuppyGraph is the first and only graph analytics engine in the market, empowering companies to transform existing relational data stores into a unified graph model in under 10 minutes, bypassing traditional graph databases' cost, latency, and maintenance hurdles. Capable of scaling with petabytes of data and executing complex 10-hop queries in seconds, PuppyGraph supports use cases from enhancing LLMs with knowledge graphs to fraud detection, cybersecurity and more. Trusted by industry leaders, including Coinbase, Clarivate, Alchemy Pay, and Protocol Labs. Learn more at www.puppygraph.com, and follow the company on LinkedIn, YouTube and X.
