PuppyGraph is a very interesting graph query engine. It doesn’t require us to load or ETL any of the data into a specialized or proprietary database storage layer for graphs. They can just simply query everything on your data lake. Doesn’t matter if it’s Delta or Iceberg or just pure Parquet file. And they can pull the data into the graph model and in another distributed computation engine and render all the results for you. We just use this one to couple this with Unity Catalog so that we open up all our transactional and the crypto data which are already on our Delta Lake. Then PuppyGraph can query them directly and perform all kinds of graph-based exploration and aggregation. This is so powerful, and our users really enjoy this type of flexibility.

PuppyGraph’s plug and play design is exceptionally user-friendly for newcomers to graph technology. We experienced virtually no learning curve, swiftly showcasing our first demo to the leadership team. Moreover, PuppyGraph did not increase our system complexity because it eliminated the need for data duplication, making the daily maintenance cost very low.

After evaluating a few different graph solutions, we struggled to find one that could scale to our data needs. 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.