DBMS > SAP SQL Anywhere vs. SQLite

System Properties Comparison SAP SQL Anywhere vs. SQLite

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Editorial information provided by DB-Engines

Name

Description

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

Widely used in-process RDBMS

Primary database model

Relational DBMS

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

Score	5.20
Rank	#57	Overall
	#32	Relational DBMS

Score	124.21
Rank	#10	Overall
	#7	Relational DBMS

Website

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

www.sqlite.org

Technical documentation

help.sap.com/sql-anywhere

www.sqlite.org/docs.html

Developer

SAP

formerly Sybase

Dwayne Richard Hipp

Initial release

1992

2000

Current release

17, July 2015

3.28.0, April 2019

License

Commercial or Open Source

commercial

Open Source info

Public Domain

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Server operating systems

AIX
HP-UX
Linux
OS X
Solaris
Windows

server-less

Data scheme

yes

dynamic column types

Typing

predefined data types such as float or date

yes

not rigid because of 'dynamic typing' concept.

XML support info

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

APIs and other access methods

HTTP API
ADO.NET
JDBC
ODBC

ADO.NET

inofficial driver
JDBC info

inofficial driver
ODBC info

inofficial driver

Supported programming languages

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

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts info

Stored procedures

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

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

none

Replication methods info

Methods for redundantly storing data on multiple nodes

Master-slave replication info

Database mirroring

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency info

Support for concurrent manipulation of data

yes

via file-system locks

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

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