DBMS > GBase vs. Rockset vs. Transwarp StellarDB

System Properties Comparison GBase vs. Rockset vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

A scalable, reliable search and analytics service in the cloud, built on RocksDB

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Relational DBMS

Document store

Graph DBMS

Secondary database models

Relational DBMS
Search engine

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

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	0.82
Rank	#212	Overall
	#36	Document stores

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

www.gbase.cn

rockset.com

www.transwarp.cn/en/product/stellardb

Technical documentation

docs.rockset.com

Developer

General Data Technology Co., Ltd.

Rockset

Transwarp

Initial release

2004

2019

Current release

GBase 8a, GBase 8s, GBase 8c

License

Commercial or Open Source

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, Python

C++

Server operating systems

Linux

hosted

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

dynamic typing

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.

yes

ingestion from XML files supported

Secondary indexes

yes

all fields are automatically indexed

SQL

Support of SQL

Standard with numerous extensions

Read-only SQL queries, including JOINs

SQL-like query language

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

HTTP REST

OpenCypher

Supported programming languages

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Automatic sharding

horizontal partitioning

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

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

yes

Access rights for users and organizations can be defined via Rockset console

yes

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