TigerGraph vs TuringDB

Both are property graph databases. TigerGraph (2017-09, Proprietary, C++) ranks #19 this month; TuringDB (2025, BUSL-1.1, C++) ranks #39. They differ on 18 of 46 surveyed features.

Attribute TigerGraph #19 ▲3 Strong TuringDB #39 ▼1 Growing
At a glance
Rank #19#39
Score 57.049.6
GitHub stars —188
Popularity 48.941.5
Activity 58.476.1
Community 62.450.5
Research 61.750.0
Fundamentals
Description 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.An in-memory, column-oriented property graph database engine focused on analytical and read-intensive workloads over large graphs.
Vendor TigerGraphTuring Biosystems
Model Property GraphProperty Graph
Kind databasedatabase
Category EstablishedEmerging
First released 2017-092025
Status activeactive
License ProprietaryBUSL-1.1
Written in C++C++
Query languages GSQLopenCypher
gdotv support nono

Feature scores 18 of 46 rows differ

Feature TigerGraphTuringDB
Community & Business
Active development ✓✓
Commercial support ✓✓
Live community 0.5✓
Open Source ··
Pricing ·0.5
Trendiness 0.50.25
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 ✓·