ONgDB vs TypeDB

ONgDB is a property graph database; TypeDB is a other database. ONgDB (2018, GPL-3.0 OR AGPL-3.0, Java) ranks #130 this month; TypeDB (2016, MPL-2.0, Rust) ranks #7.

Attribute ONgDB #130 ▼6 Emerging TypeDB #7 ▲1 Leader
At a glance
Rank #130#7
Score 24.068.4
GitHub stars 4394.5k
Popularity 43.075.0
Activity 41.475.2
Community 34.763.3
Research 50.050.0
Fundamentals
Description A community fork of Neo4j Enterprise Edition 3.4 maintained by the Graph Foundation under GPLv3 and AGPLv3. Continues development of high-availability clustering and ACID transactions, with Cypher rebranded as Geequel.A polymorphic database that natively models inheritance hierarchies, dependencies, and conceptual schemas using its TypeQL query language. Supports clustering for scalability and a cloud-agnostic deployment model.
Vendor Graph FoundationVaticle
Model Property GraphOther
Kind databasedatabase
Category EmergingGrowing
First released 20182016
Status activeactive
License GPL-3.0 OR AGPL-3.0MPL-2.0
Written in JavaRust
Query languages CypherTypeQL
gdotv support nono

Feature scores — not surveyed for ONgDB

Feature ONgDBTypeDB
Community & Business
Active development —✓
Commercial support —✓
Live community —✓
Open Source —✓
Pricing —✓
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 —0.5
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 —0.5
Transactions
Granular locking —·
Multiple isolation levels —0.5
Read committed transaction —✓
Transaction support —✓
Schema & Security
Constraints —✓
Schema support —✓
Secondary indexes —✓
Server side procedures —·
Triggers —✓
Authentication —✓
Authorization —✓
Data encryption —·