Google Cloud BigQuery Graph vs SAP Hana

Google Cloud BigQuery Graph is a property graph database; SAP Hana is a multiple database. Google Cloud BigQuery Graph (2026-04, Proprietary, C++) ranks #43 this month; SAP Hana (2010-11, Proprietary, C++) ranks #21.

Attribute Google Cloud BigQuery Graph #43 ▲10 Strong SAP Hana #21 ▼3 Strong
At a glance
Rank #43#21
Score 50.958.3
GitHub stars
Popularity 73.775.3
Activity 49.849.4
Community 48.048.8
Research 49.697.4
Fundamentals
Description A graph layer within Google Cloud BigQuery that runs property graph queries over warehouse tables using GQL, without a separate graph store. Property graphs are defined as views over existing tables and queried at analytical scale.A multi-model in-memory database with built-in graph engine supporting both property graphs and knowledge graphs. Provides built-in graph algorithms for path finding and network analysis. Part of SAP Business Technology Platform.
Vendor GoogleSAP
Model Property GraphMultiple
Kind databasedatabase
Category EnterpriseEnterprise
First released 2026-042010-11
Status activeactive
License ProprietaryProprietary
Written in C++C++
Query languages GQL, SQL/PGQSQL, openCypher, GraphScript
gdotv support yesno

Feature scores — not surveyed for Google Cloud BigQuery Graph

Feature Google Cloud BigQuery GraphSAP Hana
Community & Business
Active development 0.5
Commercial support
Live community ·
Open Source ·
Pricing
Trendiness
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
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
Schema & Security
Constraints
Schema support
Secondary indexes
Server side procedures
Triggers
Authentication
Authorization
Data encryption