You can use PuppyGraph to query relational tables and data lakehouses as unified graph models without moving data or building ETL pipelines. It connects directly to warehouses like BigQuery, Databricks, and Apache Iceberg, letting you run multi-hop queries across billions of edges in seconds. You can write queries using Gremlin or openCypher while keeping your existing security access rules. This architecture lets you uncover deep connections across transactional records, detect fraud patterns, map cybersecurity risks, and feed context into generative AI applications without maintaining separate graph databases.
What PuppyGraph does
Pricing breakdown
Pricing model: Free
Frequently asked
AWS
SlackWant a tailored answer?
See whether PuppyGraph fits your stack.
Techbible weighs PuppyGraph against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare PuppyGraph
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in Data Platform & Integration
All tools →Ellie.AI
Design conceptual data models and maintain business glossaries collaboratively in your browser
MotherDuck
Run fast SQL analytics in the cloud using DuckDB without managing infrastructure
Pinecone
Store and search vector embeddings at scale for retrieval-augmented generation applications
Qdrant
Store, search, and manage high-dimensional vector embeddings for machine learning applications
404 Page not found
Data Governance Software for Snowflake, Databricks & Modern Data Platforms. Control data at the source with Expanso's Hybrid Data Management platform.
Accelario
Provision and mask test data for development and QA teams automatically
Acceldata
Monitor data quality, track pipeline performance, and manage enterprise workloads across hybrid environments
AdOpt
Manage website cookie banners and user consent to comply with privacy regulations