GraphScope vs TigerGraph

Both are property graph databases. GraphScope (2020-12, Apache-2.0, C++) ranks #48 this month; TigerGraph (2017-09, Proprietary, C++) ranks #26.

Attribute GraphScope #48 ▲5 Strong TigerGraph #26 ▲3 Strong
At a glance
Rank #48#26
Score 50.257.0
GitHub stars 3.6k
Popularity 61.847.8
Activity 33.083.8
Community 54.152.1
Research 58.160.0
Fundamentals
Description A distributed graph computing platform from Alibaba combining three engines: GRAPE for analytics, an interactive engine for traversals, and Graph-Learn for graph neural networks. Exposes a unified Python interface that runs across a cluster of machines and supports both Gremlin and Cypher.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 AlibabaTigerGraph
Model Property GraphProperty Graph
Kind databasedatabase
Category GrowingEstablished
First released 2020-122017-09
Status activeactive
License Apache-2.0Proprietary
Written in C++C++
Query languages Gremlin, openCypherGSQL
gdotv support nono

Feature scores — not surveyed for GraphScope

Feature GraphScopeTigerGraph
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