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DBMS > Drizzle vs. Machbase Neo vs. SAP SQL Anywhere vs. SQL.JS

System Properties Comparison Drizzle vs. Machbase Neo vs. SAP SQL Anywhere vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

TimeSeries DBMS for AIoT and BigData

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

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Relational DBMS

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

Score	0.12
Rank	#339	Overall
	#30	Time Series DBMS

Score	4.25
Rank	#79	Overall
	#43	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

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

Technical documentation

machbase.com/dbms

help.sap.com/docs/SAP_SQL_Anywhere

sql.js.org/documentation/index.html

Developer

Drizzle project, originally started by Brian Aker

Machbase

SAP

formerly Sybase

Alon Zakai

enhancements implemented by others

Initial release

2008

2013

1992

2012

Current release

7.2.4, September 2012

V8.0, August 2023

17, July 2015

License

Commercial or Open Source

Open Source

GNU GPL

commercial

free test version available

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C

JavaScript

Server operating systems

FreeBSD
Linux
OS X

Linux
macOS
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows

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

Data scheme

yes

yes

yes

yes

Typing

predefined data types such as float or date

yes

yes

yes

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.

no

yes

no

Secondary indexes

yes

yes

yes

SQL

Support of SQL

yes

with proprietary extensions

SQL-like query language

yes

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

ADO.NET
HTTP API
JDBC
ODBC

JavaScript API

Supported programming languages

C
C++
Java
PHP

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

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

JavaScript

Server-side scripts

Stored procedures

no

no

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

no

Triggers

no

hooks for callbacks inside the server can be used.

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor

Source-replica replication

Database mirroring

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

no

yes

yes

Transaction concepts

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

ACID

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

no

yes

no

except by serializing a db to a file

In-memory capabilities

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

yes

volatile and lookup table

yes

yes

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

simple password-based access control

fine grained access rights according to SQL-standard

no

More information provided by the system vendor

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Related products and services

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More resources

DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

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1 December 2014, Matthias Gelbmann

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