Neo4j vs PuppyGraph

Both are property graph databases queried with Cypher. Neo4j (2007, GPL-3.0, Java) ranks #1 this month; PuppyGraph (2024-03, Proprietary) ranks #62.

Choosing between them

PuppyGraph stores no data. It connects to existing databases, warehouses and lakes, including PostgreSQL, MySQL, Snowflake, BigQuery and Databricks, and runs openCypher or Gremlin queries over those tables in place, so no ETL pipeline is needed. It is proprietary software. Pick it when the data already lives in a warehouse or lake and you want to query it as a graph without copying it.

Neo4j stores the graph itself and handles transactional reads and writes. Pick it when the graph is the system of record for an application.

Reviewed 2026-10-05. Sources: PuppyGraph documentation; Neo4j Operations Manual: editions.

Attribute Neo4j #1 = Leader PuppyGraph #62 ▼3 Growing
At a glance
Rank #1#62
Score 88.844.7
GitHub stars 17.4k—
Popularity 98.639.7
Activity 86.558.0
Community 73.831.5
Research 98.750.0
Fundamentals
Description A property graph database that stores data as fixed-size records in linked lists for index-free adjacency traversal. Offers community and commercial editions with an extensive graph algorithms library.A graph query engine that runs analytics on existing relational databases, data lakes, and warehouses without data migration.
Vendor Neo4j IncPuppyQuery Inc
Model Property GraphProperty Graph
Kind databasequery-engine
Category EstablishedGrowing
First released 20072024-03
Status activeactive
License GPL-3.0Proprietary
Written in Java—
Query languages Cypher, GQLGremlin, openCypher
gdotv support yesyes

Feature scores — not surveyed for PuppyGraph

Feature Neo4jPuppyGraph
Community & Business
Active development ✓—
Commercial support ✓—
Live community ✓—
Open Source ✓—
Pricing 0.5—
Trendiness ✓—
Deployment
Containerization ✓—
Work as dedicated instance ✓—
Work as embedded ✓—
Testing in-memory version ✓—
Platform
Operating on Linux ✓—
Operating on Windows ✓—
SaaS offering ✓—
Operations
Automatic updates ·—
Client side caching ·—
Data versioning support ·—
Live backups ✓—
Distribution
Cluster Re-balancing ·—
Data Distribution ✓—
High-Availability ✓—
Query Distribution ✓—
Replication support ✓—
Developer Experience
Data types defined ✓—
Logging/Auditing ✓—
Object-Graph Mapper ✓—
Reactive programming ✓—
Documentation up-to-date ✓—
Binary protocol ✓—
CLI ✓—
GUI ✓—
Data Model
Multi-database ✓—
Graph-native data ✓—
REST API ✓—
Query Language ✓—
Transactions
Granular locking ✓—
Multiple isolation levels ✓—
Read committed transaction ✓—
Transaction support ✓—
Schema & Security
Constraints ✓—
Schema support ✓—
Secondary indexes ✓—
Server side procedures ✓—
Triggers ✓—
Authentication ✓—
Authorization ✓—
Data encryption ·—