DBMS > SWC-DB vs. Trafodion vs. Transwarp StellarDB

System Properties Comparison SWC-DB vs. Trafodion vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.

Description

A high performance, scalable Wide Column DBMS

Transactional SQL-on-Hadoop DBMS

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Wide column store

Relational DBMS

Graph DBMS

Secondary database models

Time Series DBMS

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

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

github.com/kashirin-alex/swc-db
www.swcdb.org

trafodion.apache.org

www.transwarp.cn/en/product/stellardb

Technical documentation

trafodion.apache.org/documentation.html

Developer

Alex Kashirin

Apache Software Foundation, originally developed by HP

Transwarp

Initial release

2020

2014

Current release

0.5, April 2021

2.3.0, February 2019

License

Commercial or Open Source

Open Source

GPL V3

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C++, Java

Server operating systems

Linux

Data scheme

schema-free

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

SQL-like query language

yes

SQL-like query language

APIs and other access methods

Proprietary protocol
Thrift

ADO.NET
JDBC
ODBC

OpenCypher

Supported programming languages

C++

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via user defined functions and HBase

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

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.

User concepts

Access control

fine grained access rights according to SQL-standard

yes

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