DBMS > Google BigQuery vs. gStore vs. HyperSQL vs. TDSQL for MySQL

System Properties Comparison Google BigQuery vs. gStore vs. HyperSQL vs. TDSQL for MySQL

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service with append-only tables

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

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.

Primary database model

Relational DBMS

Graph DBMS
RDF store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	58.10
Rank	#19	Overall
	#13	Relational DBMS

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	3.23
Rank	#93	Overall
	#48	Relational DBMS

Score	0.85
Rank	#207	Overall
	#97	Relational DBMS

Website

cloud.google.com/bigquery

en.gstore.cn

hsqldb.org

www.tencentcloud.com/products/dcdb

Technical documentation

cloud.google.com/bigquery/docs

en.gstore.cn/#/enDocs

hsqldb.org/web/hsqlDocsFrame.html

www.tencentcloud.com/document/product/1042

Developer

Google

Tencent

Initial release

2010

2016

2001

2013

Current release

1.2, November 2023

2.7.2, June 2023

License

Commercial or Open Source

commercial

Open Source

BSD

Open Source

based on BSD license

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java

Server operating systems

hosted

Linux

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

hosted

Data scheme

yes

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

yes

APIs and other access methods

RESTful HTTP/JSON API

HTTP API
SPARQL 1.1

HTTP API

JDBC via HTTP
JDBC
ODBC

JDBC
ODBC

Supported programming languages

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

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

All languages supporting JDBC/ODBC
Java

C
C#
C++
Java
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

in JavaScript

yes

Java, SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Since BigQuery is designed for querying data

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

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

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

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