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PuppyGraph vs TigerGraph

PuppyGraph: Zero-ETL graph query engine that runs Cypher and Gremlin directly on your lakehouse and SQL tables. TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs.

key differences

  • Transactions: PuppyGraph offers none ACID; TigerGraph offers full.
  • Only PuppyGraph has columnar storage.
  • Only TigerGraph has transactions, secondary indexes, vector search, stored procedures, durable persistence.

choose puppygraph for

  • +Graph analytics over a lakehouse
  • +Cybersecurity and log relationship analysis
  • +Fraud detection on warehouse data
  • +Supply-chain lineage across existing tables

best at · Graph analytics, Traversal, Lakehouse

choose tigergraph for

  • +Real-time fraud and AML detection
  • +Supply chain and network analysis
  • +Customer 360 and entity resolution
  • +Recommendation engines over large catalogs

best at · Graph analytics, Traversal, Real-time analytics

PuppyGraphZero-ETL graph query engine that runs Cypher and Gremlin directly on your lakehouse and SQL tables.
TigerGraphDistributed MPP graph database built for deep-link analytics on very large graphs.
overview
Primary model
Graph
Graph
Also supports
–
Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
PuppyGraph, Inc.
TigerGraph, Inc.
First release
2023
2017
Latest version
1.16.0 (Oct 21, 2026)
4.2.5 (Sep 2, 2026)
License
ProprietaryProprietary (free Developer Edition)
ProprietaryProprietary (free Community Edition)
Free tier
✓
✓
popularity
WhichDB Score
5.6
16.6
Rank
#380
#198
GitHub stars
–
–
Stack Overflow questions
–
38
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
Read replicas
ACID
None
Full
Consistency
Eventual
Strong
Schema
Strict
Strict
Architecture
Distributed, Client server
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Google Cloud, Azure
capabilities
Transactions
—
✓
Joins
—
—
Secondary indexes
—
✓
Full-text search
—
—
Vector search
—
✓
Geospatial
—
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
✓
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
✓
—
In-memory
—
—
Durable persistence
—
✓
Compression
—
✓
Encryption at rest
—
✓
Role-based access
—
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
openCypher, Gremlin
GSQL, openCypher, GQL
Client languages
Any Neo4j driver, Any Gremlin driver
Python (pyTigerGraph), Java, JavaScript, Go
Best for
Graph analytics, Traversal, Lakehouse, OLAP
Graph analytics, Traversal, Real-time analytics, Knowledge graph
Add more to this comparisonNot sure either fits? Try smart match

PuppyGraph vs TigerGraph: FAQ

What is the difference between PuppyGraph and TigerGraph?

PuppyGraph: Zero-ETL graph query engine that runs Cypher and Gremlin directly on your lakehouse and SQL tables. TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs. Transactions: PuppyGraph offers none ACID; TigerGraph offers full. Only PuppyGraph has columnar storage. Only TigerGraph has transactions, secondary indexes, vector search, stored procedures, durable persistence.

When should I choose PuppyGraph over TigerGraph?

Choose PuppyGraph for graph analytics over a lakehouse; cybersecurity and log relationship analysis; and fraud detection on warehouse data. Choose TigerGraph for real-time fraud and AML detection; supply chain and network analysis; and customer 360 and entity resolution.

Is PuppyGraph or TigerGraph more popular?

TigerGraph ranks #198 on the WhichDB Score (16.6/100) and PuppyGraph ranks #380 (5.6/100). Popularity is not fit: check the requirements that matter for your project.

Are PuppyGraph and TigerGraph open source?

No. PuppyGraph is proprietary, closed-source software. No. TigerGraph is proprietary, closed-source software.