Dgraph vs LoraDB

Both are property graph databases. Dgraph (2015-12, Apache-2.0, Go) ranks #3 this month; LoraDB (2026-04, BUSL-1.1, Rust) is not ranked.

Attribute Dgraph #3 = Leader LoraDB
At a glance
Rank #3— Not ranked
Score 66.5
GitHub stars 21.8k20
Popularity 76.7
Activity 78.5
Community 67.3
Research 57.7
Fundamentals
Description A distributed graph database with horizontal scaling and ACID transactions. Uses its own query language (DQL) derived from GraphQL, with automatic shard rebalancing across cluster nodes.An embeddable property graph database written in Rust with a Cypher subset, local persistence options, vector values, and bindings for multiple languages. Includes an HTTP server for sharing a local graph across clients.
Vendor IstariLoraDB
Model Property GraphProperty Graph
Kind databaseembedded
Category EnterpriseEmerging
First released 2015-122026-04
Status activeactive
License Apache-2.0BUSL-1.1
Written in GoRust
Query languages DQL, GraphQLCypher
gdotv support yesno

Feature scores — not surveyed for LoraDB

Feature DgraphLoraDB
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 0.5
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