Neo4j vs PostgreSQL SQL/PGQ

Both are property graph databases. Neo4j (2007, GPL-3.0, Java) ranks #1 this month; PostgreSQL SQL/PGQ (2026-03, PostgreSQL, C) ranks #83.

Attribute Neo4j #1 = Leader PostgreSQL SQL/PGQ #83 ▲1 Growing
At a glance
Rank #1#83
Score 83.341.6
GitHub stars 17.2k
Popularity 97.3
Activity 86.7
Community 90.255.4
Research 98.649.6
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.Native SQL:2023 property graph query support coming to PostgreSQL, exposing graph pattern matching through the GRAPH_TABLE construct over property graphs defined on existing tables. Property graphs are processed like views and executed as standard relational queries by the existing planner.
Vendor Neo4j IncPostgreSQL Global Development Group
Model Property GraphProperty Graph
Kind databasedatabase
Category EstablishedEmerging
First released 20072026-03
Status activeactive
License GPL-3.0PostgreSQL
Written in JavaC
Query languages Cypher, GQLSQL/PGQ
gdotv support yesno

Feature scores — not surveyed for PostgreSQL SQL/PGQ

Feature Neo4jPostgreSQL SQL/PGQ
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 ·