GDB-Engines

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SAP Hana vs TigerGraph

SAP Hana is a multiple database; TigerGraph is a property graph database. SAP Hana (2010, Proprietary, C++) ranks #24 this month; TigerGraph (2017, Proprietary, C++) ranks #23. They differ on 25 of 46 surveyed features.

Attribute SAP Hana #24 ▲1 Strong TigerGraph #23 ▲7 Strong
At a glance
Rank #24#23
Score 56.757.1
GitHub stars
Popularity 74.240.3
Activity 49.889.6
Community 43.457.4
Research 97.360.6
Fundamentals
Description 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.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 SAPTigerGraph
Model MultipleProperty Graph
Kind databasedatabase
Category EnterpriseEstablished
First released 20102017
Status activeactive
License ProprietaryProprietary
Written in C++C++
Query languages SQL, openCypher, GraphScriptGSQL
gdotv support nono

Feature scores 25 of 46 rows differ

Feature SAP HanaTigerGraph
Community & Business
Active development 0.5
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