DBMS > AntDB vs. SAP SQL Anywhere vs. SQream DB vs. TerminusDB vs. Transwarp KunDB

System Properties Comparison AntDB vs. SAP SQL Anywhere vs. SQream DB vs. TerminusDB vs. Transwarp KunDB

Editorial information provided by DB-Engines

Name

Description

A scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with Oracle

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

a GPU-based, columnar RDBMS for big data analytics workloads

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle

Primary database model

Relational DBMS

Graph DBMS

Relational DBMS

Secondary database models

Document store
RDF store

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

Score	0.08
Rank	#345	Overall
	#149	Relational DBMS

Score	3.24
Rank	#81	Overall
	#45	Relational DBMS

Score	0.63
Rank	#229	Overall
	#107	Relational DBMS

Score	0.15
Rank	#326	Overall
	#30	Graph DBMS

Score	0.02
Rank	#366	Overall
	#154	Relational DBMS

Website

www.asiainfo.com/en_us/product_aisware_antdb_detail.html

www.sap.com/products/technology-platform/sql-anywhere.html

sqream.com

terminusdb.com

www.transwarp.cn/en/product/kundb

Technical documentation

help.sap.com/docs/SAP_SQL_Anywhere

docs.sqream.com

terminusdb.github.io/terminusdb/#

Developer

AsiaInfo Technologies Limited

SAP

formerly Sybase

SQream Technologies

DataChemist Ltd.

Transwarp

Initial release

1992

2017

2018

Current release

17, July 2015

2022.1.6, December 2022

11.0.0, January 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3

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++, CUDA, Haskell, Java, Scala

Prolog, Rust

Server operating systems

AIX
HP-UX
Linux
OS X
Solaris
Windows

Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL2016 compliant

yes

SQL-like query language (WOQL)

yes

APIs and other access methods

JDBC
MySQL protocol compliant
ODBC

ADO.NET
HTTP API
JDBC
ODBC

.Net
JDBC
ODBC

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

Supported programming languages

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

C++
Java
JavaScript (Node.js)
Python

JavaScript
Python

Server-side scripts

Stored procedures

yes, in C/C++, Java, .Net or Perl

user defined functions in Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal and vertical partitioning

Graph Partitioning

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Database mirroring

none

Journaling Streams

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

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

fine grained access rights according to SQL-standard

Role-based access control

yes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023, Bei Mo, AntDB (sponsor)

show all

Recent citations in the news

SAP Products & Services Data Portfolio
2 July 2021, Datamation

Rimini Street expands support beyond SAP and Oracle
17 June 2016, InsideSAP

SAP vulnerabilities Let Attacker Inject OS Commands—Patch Now!
11 July 2023, CybersecurityNews

Top 19 Cloud Database Management Systems
7 March 2022, Daily Host News

provided by Google News

I SQream, you SQream, we all SQream for … data analytics?
5 October 2023, Fierce Network

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

Chinese giant Alibaba leads investment round in Israel big-data startup
30 May 2018, The Times of Israel

Your Guide to Everything AI at NetApp Insight 2019
24 October 2019, netapp.com

provided by Google News

Trinity College spinout TerminusDB secures €3.6m in investment
15 March 2021, The Irish Times

provided by Google News

Share this page