DBMS > AlaSQL vs. EventStoreDB vs. Graph Engine vs. IBM Db2 warehouse vs. Trafodion

System Properties Comparison AlaSQL vs. EventStoreDB vs. Graph Engine vs. IBM Db2 warehouse vs. Trafodion

Editorial information provided by DB-Engines

Name

Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.

Description

JavaScript DBMS library

Industrial-strength, open-source database solution built from the ground up for event sourcing.

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

Transactional SQL-on-Hadoop DBMS

Primary database model

Document store
Relational DBMS

Event Store

Graph DBMS
Key-value store

Relational DBMS

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	1.19
Rank	#173	Overall
	#1	Event Stores

Score	0.67
Rank	#232	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	1.37
Rank	#160	Overall
	#74	Relational DBMS

Website

alasql.org

www.eventstore.com

www.graphengine.io

www.ibm.com/products/db2/warehouse

trafodion.apache.org

Technical documentation

github.com/AlaSQL/alasql

developers.eventstore.com

www.graphengine.io/docs/manual

trafodion.apache.org/documentation.html

Developer

Andrey Gershun & Mathias R. Wulff

Event Store Limited

Microsoft

IBM

Apache Software Foundation, originally developed by HP

Initial release

2014

2012

2010

2014

Current release

21.2, February 2021

2.3.0, February 2019

License

Commercial or Open Source

Open Source

MIT-License

Open Source

MIT License

commercial

Open Source

Apache 2.0

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

.NET and C

C++, Java

Server operating systems

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

Linux
Windows

.NET

hosted

Linux

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

Secondary indexes

yes

SQL

Support of SQL

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

yes

APIs and other access methods

JavaScript API

RESTful HTTP API

.NET Client API
JDBC
ODBC
OLE DB

ADO.NET
JDBC
ODBC

Supported programming languages

JavaScript

C#
C++
F#
Visual Basic

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

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

yes

PL/SQL, SQL PL

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via user defined functions and HBase

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

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