ArangoDB vs Traverse

ArangoDB is a multiple database; Traverse is a property graph database. ArangoDB (2012-03, BUSL-1.1, C++) ranks #2 this month; Traverse (2026-03, Proprietary, Rust) is not ranked.

Attribute ArangoDB #2 = Leader Traverse new Insufficient data
At a glance
Rank #2— Not ranked
Score 67.546.3
GitHub stars 14.3k
Popularity 87.7
Activity 74.0
Community 52.075.4
Research 78.9
Fundamentals
Description A multi-model database supporting graphs, key-value pairs, and documents in a unified JSON-based data model. Offers both an in-memory storage engine and a RocksDB-based engine for larger datasets.An in-memory property graph database written in Rust, speaking Cypher and GQL over the Bolt protocol for Neo4j driver compatibility. Includes a built-in graph data science library of 36+ algorithms callable from Cypher, and runs as a server, an embedded in-process library, a Cloud Hypervisor/Firecracker unikernel, or entirely in the browser via WebAssembly.
Vendor ArangoDB IncTruespar
Model MultipleProperty Graph
Kind databasedatabase
Category EnterpriseEmerging
First released 2012-032026-03
Status activeactive
License BUSL-1.1Proprietary
Written in C++Rust
Query languages AQLopenCypher, GQL
gdotv support nono

Feature scores — not surveyed for Traverse

Feature ArangoDBTraverse
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
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 0.5
Transactions
Granular locking ·
Multiple isolation levels ·
Read committed transaction ·
Transaction support
Schema & Security
Constraints
Schema support 0.5
Secondary indexes
Server side procedures 0.5
Triggers ·
Authentication
Authorization 0.5
Data encryption