PuppyGraph's technology eliminates the need for extensive ETL setups, enabling 'deployment to query' in just about 10 minutes. The engine's distributed design allows it to handle large datasets and complex multi-hop queries, and it can connect to all mainstream data lakes, including Google BigQuery and Databricks. Despite being less than a year old, PuppyGraph has already seen success with several enterprises, including Coinbase, Clarivate, Dawn Capital, and Prevelant AI. The company plans to use the funding to accelerate product development, expand its team, and increase its market presence.
Key takeaways:
- PuppyGraph, a startup founded by former Google and LinkedIn employees, has raised $5 million to develop the world’s first and only zero-ETL query engine that allows users to query their existing relational data as a unified graph without needing a separate graph database and long extract-transform-load (ETL) processes.
- The engine, which launched in March 2024, is already being used by several enterprises to simplify data analytics, with its developer edition witnessing a 70% month-over-month download increase.
- PuppyGraph's engine eliminates the need for extensive ETL setups, enabling 'deployment to query' in just about 10 minutes and can handle extremely large datasets and complex multi-hop queries.
- Despite being less than a year old, PuppyGraph is already witnessing success with several enterprises, including Coinbase, Clarivate, Dawn Capital and Prevelant AI, with plans to use the funding to accelerate product development, expand its team and increase its market presence.