Dgraph vs HyperGraphDB

Dgraph is a property graph database; HyperGraphDB is a other database. Dgraph (2015-12, Apache-2.0, Go) ranks #3 this month; HyperGraphDB (2007, Apache-2.0, Java) ranks #58. They differ on 32 of 46 surveyed features.

Attribute Dgraph #3 = Leader HyperGraphDB #58 ▼2 Growing
At a glance
Rank #3#58
Score 73.645.4
GitHub stars 21.8k250
Popularity 82.041.5
Activity 70.132.4
Community 73.560.5
Research 64.353.7
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 open-source embedded database for storing hypergraphs, where edges can connect any number of vertices. Uses BerkeleyDB for low-level storage and supports ACID transactions with MVCC conflict detection.
Vendor Istari—
Model Property GraphOther
Kind databaseembedded
Category EnterpriseEmerging
First released 2015-122007
Status activeinactive — Sporadic maintenance only since 2024
License Apache-2.0Apache-2.0
Written in GoJava
Query languages DQL, GraphQLJava API
gdotv support yesno

Feature scores 32 of 46 rows differ

Feature DgraphHyperGraphDB
Community & Business
Active development ✓0.5
Commercial support ✓·
Live community 0.50.5
Open Source ✓✓
Pricing ··
Trendiness 0.250.5
Deployment
Containerization ✓·
Work as dedicated instance ✓✓
Work as embedded ·✓
Testing in-memory version ✓·
Platform
Operating on Linux ✓✓
Operating on Windows ✓0.5
SaaS offering ✓·
Operations
Automatic updates ··
Client side caching ·✓
Data versioning support ·✓
Live backups ✓·
Distribution
Cluster Re-balancing ✓·
Data Distribution ✓0.25
High-Availability ✓·
Query Distribution ✓0.25
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 ✓0.5
Transactions
Granular locking ··
Multiple isolation levels ·0.5
Read committed transaction ·0.25
Transaction support ✓✓
Schema & Security
Constraints ·✓
Schema support ✓0.5
Secondary indexes ✓✓
Server side procedures ··
Triggers ·0.5
Authentication ✓·
Authorization ✓·
Data encryption ✓·