DBMS > Kuzu vs. SAP Adaptive Server vs. TimesTen vs. WakandaDB

System Properties Comparison Kuzu vs. SAP Adaptive Server vs. TimesTen vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

An embeddable property Graph DBMS built for query speed and scalability

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Graph DBMS

Relational DBMS

Object oriented DBMS

Secondary database models

Spatial DBMS

with Boeing's Spatial Query Server

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

Score	0.01
Rank	#380	Overall
	#39	Graph DBMS

Score	32.67
Rank	#25	Overall
	#17	Relational DBMS

Score	1.26
Rank	#164	Overall
	#75	Relational DBMS

Score	0.03
Rank	#364	Overall
	#17	Object oriented DBMS

Website

kuzudb.com

www.sap.com/products/technology-platform/sybase-ase.html

www.oracle.com/database/technologies/related/timesten.html

wakanda.github.io

Technical documentation

docs.kuzudb.com

help.sap.com/docs/SAP_ASE

docs.oracle.com/en/database/other-databases/timesten/index.html

wakanda.github.io/doc

Developer

SAP, Sybase

Oracle

originally founded in HP Labs it was acquired by Oracle in 2005

Wakanda SAS

Initial release

2022

1987

1998

2012

Current release

0.4.2, May 2024

16.0

Release 22.1

2.7.0 (April 29, 2019), April 2019

License

Commercial or Open Source

Open Source

MIT license

commercial

Open Source

AGPLv3, extended commercial license available

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 and C++

C++, JavaScript

Server operating systems

server-less

AIX
HP-UX
Linux
Solaris
Unix
Windows

IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64

Linux
OS X
Windows

Data scheme

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

CLI Client
Cypher Query Language

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC

RESTful HTTP API

Supported programming languages

C
C#
C++
Java
JavaScript
Python
Rust

C
C++
Cobol
Java
Java
Perl
PHP
Python

C
C++
Java
Node.js
PL/SQL
Python

JavaScript

Server-side scripts

Stored procedures

Java and Transact-SQL

PL/SQL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

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, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

by means of logfiles and checkpoints

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

yes

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