DBMS > AlaSQL vs. IBM Cloudant vs. IBM Db2 Event Store vs. YottaDB

System Properties Comparison AlaSQL vs. IBM Cloudant vs. IBM Db2 Event Store vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

Database as a Service offering based on Apache CouchDB

Distributed Event Store optimized for Internet of Things use cases

A fast and solid embedded Key-value store

Primary database model

Document store
Relational DBMS

Document store

Event Store
Time Series DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	2.75
Rank	#104	Overall
	#19	Document stores

Score	0.27
Rank	#309	Overall
	#2	Event Stores
	#28	Time Series DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

alasql.org

www.ibm.com/products/cloudant

www.ibm.com/products/db2-event-store

yottadb.com

Technical documentation

github.com/AlaSQL/alasql

cloud.ibm.com/docs/Cloudant

www.ibm.com/docs/en/db2-event-store

yottadb.com/resources/documentation

Developer

Andrey Gershun & Mathias R. Wulff

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

IBM

YottaDB, LLC

Initial release

2014

2010

2017

2001

Current release

2.0

License

Commercial or Open Source

Open Source

MIT-License

commercial

free developer edition available

Open Source

AGPL 3.0

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

Erlang

C and C++

Server operating systems

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

hosted

Linux

Linux, macOS, Windows for the developer addition

Docker
Linux

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

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

yes

through the embedded Spark runtime

by using the Octo plugin

APIs and other access methods

JavaScript API

RESTful HTTP/JSON API

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

JavaScript

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

View functions (Map-Reduce) in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

Active-active shard replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

atomic operations within a document possible

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Optimistic locking

No - written data is immutable

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

yes

Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage

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

Access rights for users can be defined per database

fine grained access rights according to SQL-standard

Users and groups based on OS-security mechanisms

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