DBMS > AlaSQL vs. Galaxybase vs. IBM Cloudant vs. MySQL vs. RocksDB

System Properties Comparison AlaSQL vs. Galaxybase vs. IBM Cloudant vs. MySQL vs. RocksDB

Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Scalable, ACID-compliant native distributed parallel graph platform

Database as a Service offering based on Apache CouchDB

Widely used open source RDBMS

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Primary database model

Document store
Relational DBMS

Graph DBMS

Document store

Relational DBMS

Key/Value like access via memcached API

Key-value store

Secondary database models

Document store
Spatial DBMS

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

Score	0.42
Rank	#264	Overall
	#42	Document stores
	#122	Relational DBMS

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Score	2.85
Rank	#95	Overall
	#18	Document stores

Score	1029.49
Rank	#2	Overall
	#2	Relational DBMS

Score	2.84
Rank	#97	Overall
	#16	Key-value stores

Website

alasql.org

galaxybase.com

www.ibm.com/products/cloudant

www.mysql.com

rocksdb.org

Technical documentation

github.com/AlaSQL/alasql

cloud.ibm.com/docs/Cloudant

dev.mysql.com/doc

github.com/facebook/rocksdb/wiki

Developer

Andrey Gershun & Mathias R. Wulff

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Oracle

since 2010, originally MySQL AB, then Sun

Facebook, Inc.

Initial release

2014

2017

2010

1995

2013

Current release

Nov 20, November 2021

9.0.0, July 2024

9.4.0, June 2024

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Open Source

BSD

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

C and Java

Erlang

C and C++

C++

Server operating systems

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

Linux

hosted

FreeBSD
Linux
OS X
Solaris
Windows

Linux

Data scheme

schema-free

Strong typed schema

schema-free

yes

schema-free

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

Close to SQL99, but no user access control, stored procedures and host language bindings.

yes

with proprietary extensions

APIs and other access methods

JavaScript API

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
Proprietary native API

C++ API
Java API

Supported programming languages

JavaScript

Go
Java
Python

C#
Java
JavaScript
Objective-C
PHP
Ruby

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

user defined procedures and functions

View functions (Map-Reduce) in JavaScript

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

not for MyISAM storage engine

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

atomic operations within a document possible

ACID

not for MyISAM storage engine

yes

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

yes

table locks or row locks depending on storage engine

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

Role-based access control

Access rights for users can be defined per database

Users with fine-grained authorization concept

no user groups or roles

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