Dgraph vs NodeDB

Dgraph is a property graph database; NodeDB is a multiple database. Dgraph (2015-12, Apache-2.0, Go) ranks #4 this month; NodeDB (2026-04, BUSL-1.1, Rust) ranks #66. They differ on 20 of 46 surveyed features.

Attribute Dgraph #4 = Leader NodeDB #66 ▲4 Growing
At a glance
Rank #4#66
Score 65.438.8
GitHub stars 21.8k243
Popularity 81.037.1
Activity 66.741.9
Community 45.244.3
Research —26.7
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.A multi-model database written in Rust that runs document, key-value, columnar, timeseries, spatial, vector, and array engines in a single binary over shared storage, with graph and full-text search as cross-engine overlays on any collection. Its graph overlay uses a CSR adjacency index with 13 built-in algorithms and a Cypher-subset MATCH syntax, and fuses graph traversal with vector search in a single query for GraphRAG. Speaks SQL over a native MessagePack protocol and the PostgreSQL wire protocol, alongside HTTP/REST, WebSocket, RESP, and ILP.
Vendor IstariNodeDB-Lab
Model Property GraphMultiple
Kind databasedatabase
Category EnterpriseEmerging
First released 2015-122026-04
Status activeactive
License Apache-2.0BUSL-1.1
Written in GoRust
Query languages DQL, GraphQLSQL, openCypher
gdotv support yesno

Feature scores 20 of 46 rows differ

Feature DgraphNodeDB
Community & Business
Active development ✓✓
Commercial support ✓✓
Live community 0.5✓
Open Source ✓0.5
Pricing ··
Trendiness 0.25·
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 ✓✓
High-Availability ✓✓
Query Distribution ✓✓
Replication support ✓✓
Developer Experience
Data types defined ✓✓
Logging/Auditing 0.5✓
Object-Graph Mapper ·0.5
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 ·0.5
Read committed transaction ·✓
Transaction support ✓✓
Schema & Security
Constraints ·✓
Schema support ✓✓
Secondary indexes ✓✓
Server side procedures ·✓
Triggers ·✓
Authentication ✓✓
Authorization ✓✓
Data encryption ✓✓