DBMS > PostGIS vs. SAP Adaptive Server vs. SQL.JS vs. TimesTen

System Properties Comparison PostGIS vs. SAP Adaptive Server vs. SQL.JS vs. TimesTen

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of PostgreSQL

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

Port of SQLite to JavaScript

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.

Primary database model

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

Spatial DBMS

with Boeing's Spatial Query Server

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Trend Chart

Score	20.16
Rank	#29	Overall
	#1	Spatial DBMS

Score	32.67
Rank	#25	Overall
	#17	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Score	1.26
Rank	#164	Overall
	#75	Relational DBMS

Website

postgis.net

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

sql.js.org

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

Technical documentation

postgis.net/documentation

help.sap.com/docs/SAP_ASE

sql.js.org/documentation/index.html

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

Developer

SAP, Sybase

Alon Zakai

enhancements implemented by others

Oracle

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

Initial release

2005

1987

2012

1998

Current release

3.4.2, February 2024

16.0

Release 22.1

License

Commercial or Open Source

Open Source

GPL v2.0

commercial

Open Source

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 and C++

JavaScript

Server operating systems

AIX
HP-UX
Linux
Solaris
Unix
Windows

server-less, requires a JavaScript environment (browser, Node.js)

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

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-92 is not fully supported

yes

APIs and other access methods

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

JavaScript API

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

Supported programming languages

C
C++
Cobol
Java
Java
Perl
PHP
Python

JavaScript

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

Server-side scripts

Stored procedures

user defined functions

Java and Transact-SQL

PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

based on PostgreSQL

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on PostgreSQL

Multi-source replication
Source-replica replication

none

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Immediate Consistency or Eventual Consistency depending on configuration

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

except by serializing a db to a file

yes

by means of logfiles and checkpoints

In-memory capabilities

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

yes

User concepts

Access control

yes

based on PostgreSQL

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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