GDB-Engines

The go-to resource for graph technology details

About

Altair Graph Lakehouse vs Dgraph

Altair Graph Lakehouse is a rdf database; Dgraph is a property graph database. Altair Graph Lakehouse (2018-10, Proprietary, C++) ranks #89 this month; Dgraph (2015, Apache-2.0, Go) ranks #3. They differ on 13 of 46 surveyed features.

Attribute Altair Graph Lakehouse #89 ▲13 Growing Dgraph #3 = Leader
At a glance
Rank #89#3
Score 38.866.5
GitHub stars 21.8k
Popularity 59.476.7
Activity 78.5
Community 31.067.3
Research 50.457.7
Fundamentals
Description An RDF graph OLAP database (formerly AnzoGraph DB) using massively parallel processing (MPP) for analytical workloads. Rebranded under Altair, it supports SPARQL 1.1 with extensions for window aggregates and advanced grouping, plus openCypher query support.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.
Vendor AltairIstari
Model RDFProperty Graph
Kind databasedatabase
Category EnterpriseEnterprise
First released 2018-102015
Status activeactive
License ProprietaryApache-2.0
Written in C++Go
Query languages SPARQL, openCypherDQL, GraphQL
gdotv support noyes

Feature scores 13 of 46 rows differ

Feature Altair Graph LakehouseDgraph
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 0.5
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