DBMS > Dgraph vs. jBASE vs. Transwarp StellarDB

System Properties Comparison Dgraph vs. jBASE vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Distributed and scalable native Graph DBMS

A robust multi-value DBMS comprising development tools and middleware

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Graph DBMS

Multivalue DBMS

Graph DBMS

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

Score	1.45
Rank	#156	Overall
	#15	Graph DBMS

Score	1.41
Rank	#159	Overall
	#3	Multivalue DBMS

Score	0.00
Rank	#383	Overall
	#39	Graph DBMS

Website

dgraph.io

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

www.transwarp.cn/en/product/stellardb

Technical documentation

dgraph.io/docs

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

Developer

Dgraph Labs, Inc.

Rocket Software (formerly Zumasys)

Transwarp

Initial release

2016

1991

Current release

5.7

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

Linux
OS X
Windows

AIX
Linux
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

optional

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

Secondary indexes

yes

SQL

Support of SQL

Embedded SQL for jBASE in BASIC

SQL-like query language

APIs and other access methods

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

OpenCypher

Supported programming languages

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

.Net
Basic
Jabbascript
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Synchronous replication via Raft

yes

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

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

In-memory capabilities

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

yes

User concepts

Access control

Planned for future releases

Access rights can be defined down to the item level

yes

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More resources

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