DBMS > AlaSQL vs. EventStoreDB vs. Machbase Neo vs. Transbase

System Properties Comparison AlaSQL vs. EventStoreDB vs. Machbase Neo vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

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

TimeSeries DBMS for AIoT and BigData

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Document store
Relational DBMS

Event Store

Time Series DBMS

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	0.17
Rank	#337	Overall
	#30	Time Series DBMS

Score	0.17
Rank	#334	Overall
	#148	Relational DBMS

Website

alasql.org

www.eventstore.com

machbase.com

www.transaction.de/en/products/transbase.html

Technical documentation

github.com/AlaSQL/alasql

developers.eventstore.com

machbase.com/dbms

www.transaction.de/en/products/transbase/features.html

Developer

Andrey Gershun & Mathias R. Wulff

Event Store Limited

Machbase

Transaction Software GmbH

Initial release

2014

2012

2013

1987

Current release

21.2, February 2021

V8.0, August 2023

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

MIT-License

Open Source

commercial

free test version available

commercial

free development license

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

C and C++

Server operating systems

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

Linux
Windows

Linux
macOS
Windows

FreeBSD
Linux
macOS
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.

Secondary indexes

yes

SQL

Support of SQL

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

SQL-like query language

yes

APIs and other access methods

JavaScript API

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

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

JavaScript

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

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

selectable replication factor

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

yes

Concurrency

Support for concurrent manipulation of data

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

volatile and lookup table

User concepts

Access control

simple password-based access control

fine grained access rights according to SQL-standard

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