What PuppyGraph does

PuppyGraph is a Santa Clara-based software company that builds a distributed, column-oriented OLAP graph query engine designed to query existing relational data stores as a unified graph model without ETL, data movement, or specialized graph storage. The platform operates natively on lakehouse formats including Apache Iceberg, Parquet, Delta Lake, and AWS S3 Tables, and integrates with 30+ data sources such as Databricks, Snowflake, BigQuery, Redshift, ClickHouse, SingleStore, and Postgres. Its architecture is differentiated by an enforced ontology at the query layer, dual support for SQL alongside Gremlin and openCypher, and performance benchmarks such as 10-hop queries across billions of edges in approximately 2.26 seconds on a 4-node cluster and sub-second 6-hop queries across 600 million edges. Use cases are concentrated in financial services fraud detection, cybersecurity threat and identity analysis, AI/Graph RAG for LLM augmentation, healthcare/life sciences, and retail/supply chain.

The company sells through a two-tier model: a forever-free Developer Edition (Docker-based, single-node, no payment or form required) and a production-grade Enterprise Edition priced annually based on the memory and CPU of the underlying server, available via AWS AMI or Docker with a 30-day free trial. Distribution combines product-led growth for developer adoption with sales-assisted enterprise motion, and the company holds SOC 2 Type II compliance and validated technology partner status with Databricks, AWS, and Google Cloud. Named customers include Coinbase, AMD, Netskope, Palo Alto Networks, eBay, Sumo Logic, Protocol Labs, Clarivate, PrevalentAI, Datadog, and Sola Security.

As of 2025, PuppyGraph reports $1.7 million in ARR, a $5.1 million valuation, and a headcount in the 11–50 range. The company was founded in 2023 by Weimo Liu (CEO), Danfeng Xu (CTO), Kunjie Chen, Zhenni Wu, and Lei Huang. A $5 million round from Defy.vc was disclosed in November 2024; earlier company material characterized the business as bootstrapped, indicating a transition from organic to externally-funded growth during 2024–2025.

Name

PuppyGraph

Legal name

PuppyQuery Inc.

Website

https://puppygraph.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

PuppyGraph is a Santa Clara-based software company that provides a zero-ETL, distributed OLAP graph query engine enabling enterprises to query existing relational data warehouses and lakehouses as unified graphs. It serves data platform teams in financial services, cybersecurity, AI/Graph RAG, healthcare, and retail, sold via a free Developer Edition and an infrastructure-priced Enterprise Edition.

Ownership category

akta.pro rank

Product category

Graph Analytics Software

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Columnar / Analytical Databases (OLAP) (HDAEAAAG)

akta.pro secondary industries

Graph Databases (HDAEAAAE), Query Engines & SQL Analytics Layers for Warehouses/Lakes (HDAEABAI)

Keywords

• Graph query engine
• Zero-ETL analytics
• Graph database software
• Data lakehouse integration
• Multi-hop graph traversal

Headquarters

HQ city

Santa Clara

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Enterprise Edition Subscription: Annual subscription pricing based on memory and CPU of the server running PuppyGraph. Enterprise Edition includes full production-grade features with 30-day free trial. Payment terms are annual with auto-renewal, invoiced 30 days prior to renewal term start.
2. Professional Services: Training, implementation, and other professional services available via separate Statement of Work (SOW) engagements.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels9 records

Core offering

PuppyGraph is a distributed, column-oriented OLAP graph query engine that enables organizations to query their existing relational data stores (data warehouses and lakehouses such as Snowflake, Databricks, BigQuery, Redshift, Postgres, and Apache Iceberg tables) as a unified graph model in real time, without ETL pipelines or specialized graph storage. The product supports both SQL and graph query languages (Gremlin and openCypher), deploys in under 10 minutes, scales to petabytes of data, and is sold as a free Developer Edition and a paid Enterprise Edition.

Product overview

PuppyGraph is a distributed, column-oriented OLAP graph query engine that enables users to query existing relational data stores as a unified graph model without ETL or data movement. The product portfolio consists of two editions: the Developer Edition (a free, single-node version for proof-of-concept and evaluation) and the Enterprise Edition (a production-grade version with full features, deployed via Docker or AWS AMI). The platform natively supports both SQL and graph query languages (Gremlin and Cypher), and is designed to deploy and operationalize in under 10 minutes. Core capabilities include petabyte-level scalability, sub-second multi-hop query execution (10-hop queries in ~2.26 seconds across billions of edges), and zero-ETL integration with data lakehouse formats including Apache Iceberg, Delta Lake, and S3 Tables. Use cases span financial services fraud detection, cybersecurity threat analysis, healthcare/life sciences, and retail/supply chain optimization.

Differentiator

Problem solved

Functional benefit

Brands

• Developer Edition: Forever-free single-node edition designed for proving ideas, available via Docker install.
• Enterprise Edition

Products and services

• PuppyGraph Developer Edition A free, single-node edition of the PuppyGraph graph query engine designed for individual developers and small teams to prove out graph analytics concepts on their own relational data. Available via Docker install with no payment or form required, it supports SQL, Gremlin, and Cypher queries against a single node and is the entry point for the product-led growth funnel into the Enterprise Edition.
• PuppyGraph Enterprise Edition A production-grade graph query engine for enterprise deployment, sold as an annual subscription priced by server memory and CPU. Includes the full feature set for running real-time, zero-ETL graph analytics on data warehouses and lakehouses (Iceberg, Snowflake, Databricks, BigQuery, Redshift, etc.) at petabyte scale, with a 30-day free trial and deployment via AWS AMI or Docker.
• PuppyGraph Enhanced Support and Maintenance A paid premium support tier for PuppyGraph customers that provides faster response times (P1 within 60 minutes, P2 within 8 hours) and 24/7 coverage, beyond the standard support hours of 9am–5pm Pacific Time on weekdays. Sold as an add-on to the Enterprise Edition.

Quantifiable outcome

• 10-hop neighbor query in 2.26 seconds across billions of edges with a 4-node cluster
• +4 more outcomes

Named customers10 records

Segments5 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration33 records

AI capability6 records

Feature7 records

Partnerships

16 partnerships are on record, tiered core and supporting.

• DatabrickscoreTechnology or Integration · 16 June 2025PuppyGraph is a launch partner for Databricks, offering integration that enables users to query Databricks Unity Catalog as a graph. The partnership positions PuppyGraph as a foundational component of Databricks' AI-era data architecture.
• Amazon Web Services (AWS)coreTechnology or IntegrationPuppyGraph integrates with AWS S3 Tables and is available as an AWS AMI. AWS published technical documentation demonstrating real-time graph analytics combining PuppyGraph with Amazon S3 Tables for cybersecurity threat detection without ETL or data duplication.
• Google Cloud (BigQuery & AlloyDB)coreTechnology or IntegrationPuppyGraph is a validated technology partner with Google Cloud, integrating with BigQuery and AlloyDB for graph analytics capabilities.
• Apache IcebergcoreStrategic or Co-development PartnerPuppyGraph is Iceberg-native by design and co-authored the Apache Iceberg Digest Vol. 1 eBook with Dremio, MinIO, Confluent, and Fivetran. Jason Reid, Co-Creator of Apache Iceberg and Co-Founder of Tabular, is a vocal advocate.
• SnowflakecoreTechnology or IntegrationNative integration with Snowflake for querying existing Snowflake data as a graph without data movement.
• RedshiftcoreTechnology or IntegrationNative integration with Amazon Redshift for graph analytics on Redshift data.
• DremiocoreTechnology or IntegrationDremio listed as a data source partner for querying lakehouse data.
• SingleStoresupportingTechnology or IntegrationSingleStore listed as a data source partner.
• ClickHousesupportingTechnology or IntegrationClickHouse listed as a data source partner.
• UpsolversupportingTechnology or IntegrationUpsolver listed as a data streaming/integration partner.
• RedpandasupportingTechnology or IntegrationRedpanda listed as a data streaming partner.
• StreamNativesupportingTechnology or IntegrationStreamNative listed as a data streaming partner.
• GraphablesupportingImplementation/ SI/ Consulting PartnerGraphable is listed as a consulting partner for graph implementation services.
• KinevizsupportingTechnology or IntegrationKineviz is a visualization partner for graph data visualization.
• LinkurioussupportingTechnology or IntegrationLinkurious is a graph visualization partner.
• TabularcoreStrategic or Co-development PartnerTabular (founded by Apache Iceberg creators) is connected through the Iceberg ecosystem integration.

Scale indicators8 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Neo4j: The leading native graph database, with a mature property graph model and Cypher query language. Most direct competitor to PuppyGraph in graph analytics, though it relies on dedicated storage rather than zero-ETL querying of existing warehouses/lakes — exactly the architectural gap PuppyGraph positions against.
• TigerGraph: Enterprise graph database platform optimized for deep-link analytics and real-time fraud detection. Directly competes with PuppyGraph in financial services and cybersecurity use cases, though it requires its own storage layer rather than querying existing relational stores.
• Memgraph: In-memory graph database built for real-time analytics and streaming graph workloads. Competes in similar low-latency graph use cases (fraud, security, recommendation), with overlapping customer segments but a fundamentally different storage and deployment model than PuppyGraph's zero-ETL approach.

Broad incumbents

• Amazon Neptune: AWS-managed graph database service supporting property graph and RDF models. A broad incumbent offering overlapping graph capabilities within the AWS ecosystem; competes with PuppyGraph for AWS-native deployments but lacks zero-ETL querying of customers' existing Iceberg/Parquet warehouses.
• Azure Cosmos DB (Gremlin API): Microsoft's globally distributed multi-model database with a Gremlin-compatible graph API. Hyperscaler incumbent serving similar graph use cases, particularly for Microsoft-anchored enterprises, but operates as a managed dedicated graph store rather than a zero-ETL query engine.
• DataStax (Astra DB): Cloud-native data platform built on Apache Cassandra with graph capabilities. Broad incumbent offering overlapping capabilities in graph and real-time workloads, particularly via its Gremlin API compatibility, though focused on its own storage layer rather than zero-ETL integration.
• Databricks (Photon / Unity Catalog): Databricks is both PuppyGraph's launch partner for Agent Bricks and a potential long-term competitive threat via Photon and Unity Catalog. As a broad lakehouse incumbent with massive scale, Databricks could expand native graph capabilities on Iceberg, threatening PuppyGraph's category position.

Emerging players

• FalkorDB: Graph database built on Redis for low-latency, real-time graph queries. Emerging player focused on knowledge graphs and agentic AI workloads — directly adjacent to one of PuppyGraph's primary growth areas (Graph RAG and AI agents).
• JanusGraph: Open-source, distributed graph database under the Linux Foundation, supporting various storage backends. Adjacent competitor in the open-source graph ecosystem, particularly for enterprises preferring OSS deployments.

Others

• Dremio: Lakehouse query platform and key PuppyGraph technology partner (co-authored Apache Iceberg Digest Vol. 1). While not a direct graph competitor, Dremio's SQL-on-lakehouse engine is the most natural adjacent player and partner in the same Iceberg-centric architecture.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/puppyquery
• GitHubgithub.com/puppygraph
• YouTubeyoutube.com/@PuppyGraph
• LinkedInlinkedin.com/company/puppygraph

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds2 records

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about PuppyGraph