PuppyGraph Announces New Native Integration to Support Databricks' Managed Iceberg Tables
"Databricks' new Iceberg capabilities provide a truly open, scalable foundation. With PuppyGraph, teams can ask complex relationship-driven questions without ever leaving their lakehouse. " -- Weimo Liu, CEO of PuppyGraph
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Databricks Managed Iceberg Tables, launching in Public Preview at this year's Data + AI Summit, offers full support for the Apache Iceberg™ REST Catalog API. This allows external engines, such as Apache Spark™, Apache Flink™, and Apache Kafka™, to interoperate seamlessly with tables governed by Unity Catalog. Managed Iceberg Tables provide automatic performance optimizations, which deliver cost-efficient storage and lightning-fast queries out of the box.
By combining PuppyGraph's in-place graph engine with the openness and scale of Managed Iceberg Tables, teams can now:
Query massive Iceberg datasets as a live graph, in real-time
Use graph traversal to detect fraud, lateral movement, and network paths
Perform Root Cause Analysis on telemetry data using service relationship graphs
Eliminate the need for ETL into siloed graph databases
Scale analytics across petabytes with minimal operational overhead
Coinbase and CipherOwl are joint customers of Databricks and PuppyGraph. At the Data + AI Summit, both will share how graph analytics has powered their products and enabled real-time insights directly on managed lakehouses.
"This changes how graph analytics fits into the modern data stack," said Weimo Liu, CEO of PuppyGraph. "Databricks' new Iceberg capabilities provide a truly open, scalable foundation. With PuppyGraph, teams can ask complex relationship-driven questions without ever leaving their lakehouse."
To learn more about how PuppyGraph integrates with Apache Iceberg™ and the Databricks Data Intelligence Platform, visit www.puppygraph.com/databricks or see the joint talk with Coinbase at Data + AI Summit 2025.
About PuppyGraph:
PuppyGraph is the first and only real time, zero-ETL graph query engine in the market, empowering data teams to query existing relational data stores as a unified graph model deployed 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, Netskope, CipherOwl, Prevalent AI, Clarivate, and more. Learn more at www.puppygraph.com, and follow the company on LinkedIn, YouTube and X.
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