DBMS > AlaSQL vs. Graph Engine vs. IBM Db2 warehouse vs. OpenEdge

System Properties Comparison AlaSQL vs. Graph Engine vs. IBM Db2 warehouse vs. OpenEdge

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Cloud-based data warehousing service

Application development environment with integrated database management system

Primary database model

Document store
Relational DBMS

Graph DBMS
Key-value store

Relational DBMS

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

Score	0.49
Rank	#259	Overall
	#40	Document stores
	#120	Relational DBMS

Score	0.62
Rank	#240	Overall
	#21	Graph DBMS
	#35	Key-value stores

Score	1.34
Rank	#166	Overall
	#76	Relational DBMS

Score	3.75
Rank	#88	Overall
	#47	Relational DBMS

Website

alasql.org

www.graphengine.io

www.ibm.com/products/db2/warehouse

www.progress.com/openedge

Technical documentation

github.com/AlaSQL/alasql

www.graphengine.io/docs/manual

documentation.progress.com/output/ua/OpenEdge_latest

Developer

Andrey Gershun & Mathias R. Wulff

Microsoft

IBM

Progress Software Corporation

Initial release

2014

2010

2014

1984

Current release

OpenEdge 12.2, March 2020

License

Commercial or Open Source

Open Source

MIT-License

Open Source

MIT License

commercial

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

.NET and C

Server operating systems

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

.NET

hosted

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

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.

Import/export of XML data possible

yes

Secondary indexes

yes

SQL

Support of SQL

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

yes

close to SQL 92

APIs and other access methods

JavaScript API

RESTful HTTP API

.NET Client API
JDBC
ODBC
OLE DB

JDBC
ODBC

Supported programming languages

JavaScript

C#
C++
F#
Visual Basic

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

yes

PL/SQL, SQL PL

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate 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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent 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

fine grained access rights according to SQL-standard

Users and groups

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