Graph Engine vs TigerGraph

Both are property graph databases. Graph Engine (2015-05, MIT, C#) ranks #38 this month; TigerGraph (2017-09, Proprietary, C++) ranks #26.

Attribute Graph Engine #38 ▼4 Strong TigerGraph #26 ▲3 Strong
At a glance
Rank #38#26
Score 51.457.0
GitHub stars 2.3k
Popularity 65.647.8
Activity 42.383.8
Community 52.1
Research 50.660.0
Fundamentals
Description A distributed, in-memory graph processing engine developed by Microsoft Research, originally known as Trinity. Supports large-scale graph computation on a memory cloud architecture.A distributed property graph database (formerly GraphSQL) built for massively parallel processing and graph analytics. Uses the SQL-like GSQL query language and supports ACID transactions. Available in developer, cloud, and enterprise editions.
Vendor MicrosoftTigerGraph
Model Property GraphProperty Graph
Kind databasedatabase
Category EnterpriseEstablished
First released 2015-052017-09
Status inactive — Microsoft Research project. Limited recent activity.active
License MITProprietary
Written in C#C++
Query languages LIKQGSQL
gdotv support nono

Feature scores — not surveyed for Graph Engine

Feature Graph EngineTigerGraph
Community & Business
Active development
Commercial support
Live community 0.5
Open Source ·
Pricing ·
Trendiness 0.5
Deployment
Containerization
Work as dedicated instance
Work as embedded
Testing in-memory version 0.5
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 0.5
Developer Experience
Data types defined
Logging/Auditing 0.5
Object-Graph Mapper ·
Reactive programming ·
Documentation up-to-date 0.75
Binary protocol ·
CLI
GUI
Data Model
Multi-database
Graph-native data
REST API
Query Language
Transactions
Granular locking ·
Multiple isolation levels ·
Read committed transaction 0.5
Transaction support
Schema & Security
Constraints ·
Schema support
Secondary indexes ·
Server side procedures
Triggers ·
Authentication
Authorization
Data encryption