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Altair Graph Lakehouse vs Cosmos DB

Altair Graph Lakehouse is a rdf database; Cosmos DB is a multiple database. Altair Graph Lakehouse (2018-10, Proprietary, C++) ranks #89 this month; Cosmos DB (2017-05, Proprietary) ranks #10. They differ on 19 of 46 surveyed features.

Attribute Altair Graph Lakehouse #89 ▲13 Growing Cosmos DB #10 ▼17 Strong
At a glance
Rank #89#10
Score 38.861.8
GitHub stars
Popularity 59.470.4
Activity
Community 31.059.9
Research 50.488.5
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 globally distributed multi-model database service on Microsoft Azure with property graph support through the Apache Gremlin API. Offers multi-region replication and multiple consistency models.
Vendor AltairMicrosoft
Model RDFMultiple
Kind databasedatabase
Category EnterpriseEnterprise
First released 2018-102017-05
Status activeactive
License ProprietaryProprietary
Written in C++
Query languages SPARQL, openCypherGremlin, SQL
gdotv support noyes

Feature scores 19 of 46 rows differ

Feature Altair Graph LakehouseCosmos DB
Community & Business
Active development
Commercial support
Live community ·0.5
Open Source ··
Pricing
Trendiness
Deployment
Containerization 0.5
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 ·0.5
Data Distribution
High-Availability
Query Distribution
Replication support
Developer Experience
Data types defined 0.5·
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
Transactions
Granular locking ··
Multiple isolation levels ·
Read committed transaction ·
Transaction support 0.5
Schema & Security
Constraints ··
Schema support ·
Secondary indexes
Server side procedures ·
Triggers ·
Authentication
Authorization
Data encryption