DBMS > gStore vs. Tigris

System Properties Comparison gStore vs. Tigris

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Editorial information provided by DB-Engines

Name

Description

A native Graph DBMS to store and maintain very large RDF datasets.

A horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure

Primary database model

Graph DBMS
RDF store

Document store
Key-value store
Search engine
Time Series DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.01
Rank	#375	Overall
	#39	Graph DBMS
	#20	RDF stores

Score	0.04
Rank	#357	Overall
	#50	Document stores
	#54	Key-value stores
	#23	Search engines
	#35	Time Series DBMS

Website

en.gstore.cn

www.tigrisdata.com

Technical documentation

en.gstore.cn/#/enDocs

www.tigrisdata.com/docs

Developer

Tigris Data, Inc.

Initial release

2016

2022

Current release

1.2, November 2023

License

Commercial or Open Source

Open Source

BSD

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux

Linux
macOS
Windows

Data scheme

schema-free and OWL/RDFS-schema support

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

APIs and other access methods

HTTP API
SPARQL 1.1

CLI Client
gRPC
RESTful HTTP API

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

Go
Java
JavaScript (Node.js)

Server-side scripts

Stored procedures

yes

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using FoundationDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Users, roles and permissions, Role-Based Access Control (RBAC) supported

Access rights for users and roles

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More resources

Recent citations in the news

Investing in Tigris
20 February 2024, Andreessen Horowitz

provided by Google News

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