froGQL vs OrientDB

froGQL is a property graph database; OrientDB is a multiple database. froGQL (2026-05, MIT, Rust) ranks #118 this month; OrientDB (2010, Apache-2.0, Java) ranks #12.

Attribute froGQL #118 ▼1 Emerging OrientDB #12 ▼5 Strong
At a glance
Rank #118#12
Score 28.962.0
GitHub stars 125k
Popularity 34.682.9
Activity 53.460.7
Community 30.335.4
Research 55.367.6
Fundamentals
Description An embedded single-file property graph database written in Rust that implements the ISO GQL standard and executes queries with worst-case-optimal Leapfrog Triejoin. It originates from PLEIAD's research on a gradual type system for GQL: its typechecker statically detects queries guaranteed to return no results before they run.A distributed multi-model database combining graph and document models with TinkerPop support. Features sharding for horizontal scaling and ACID transactions.
Vendor PLEIADOrientDB Community
Model Property GraphMultiple
Kind embeddeddatabase
Category EmergingEnterprise
First released 2026-052010
Status activeactive
License MITApache-2.0
Written in RustJava
Query languages GQLSQL, Gremlin
gdotv support nono

Feature scores — not surveyed for froGQL

Feature froGQLOrientDB
Community & Business
Active development —✓
Commercial support —✓
Live community —0.5
Open Source —✓
Pricing —·
Trendiness —0.25
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 —0.5
Replication support —✓
Developer Experience
Data types defined —✓
Logging/Auditing —✓
Object-Graph Mapper —·
Reactive programming —·
Documentation up-to-date —0.5
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 —✓