DBMS > AlaSQL vs. IBM Db2 Event Store vs. Machbase Neo vs. Trino vs. Yanza

System Properties Comparison AlaSQL vs. IBM Db2 Event Store vs. Machbase Neo vs. Trino vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

JavaScript DBMS library

Distributed Event Store optimized for Internet of Things use cases

TimeSeries DBMS for AIoT and BigData

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Time Series DBMS for IoT Applications

Primary database model

Document store
Relational DBMS

Event Store
Time Series DBMS

Time Series DBMS

Relational DBMS

Time Series DBMS

Secondary database models

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	0.46
Rank	#260	Overall
	#40	Document stores
	#121	Relational DBMS

Score	0.19
Rank	#323	Overall
	#2	Event Stores
	#28	Time Series DBMS

Score	0.12
Rank	#339	Overall
	#30	Time Series DBMS

Score	5.00
Rank	#66	Overall
	#36	Relational DBMS

Website

alasql.org

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

machbase.com

trino.io

yanza.com

Technical documentation

github.com/AlaSQL/alasql

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

machbase.com/dbms

trino.io/broadcast
trino.io/docs/current

Social network pages

Developer

Andrey Gershun & Mathias R. Wulff

IBM

Machbase

Trino Software Foundation

Yanza

Initial release

2014

2017

2013

2012

2020 rebranded from PrestoSQL

2015

Current release

2.0

V8.0, August 2023

License

Commercial or Open Source

Open Source

MIT-License

commercial

free developer edition available

commercial

free test version available

Open Source

Apache Version 2.0

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

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Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.

Implementation language

JavaScript

C and C++

Java

Server operating systems

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

Linux

Linux, macOS, Windows for the developer addition

Linux
macOS
Windows

Linux
macOS

for devlopment

Windows

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

depending on connected data-source

SQL

Support of SQL

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

yes

through the embedded Spark runtime

SQL-like query language

yes

APIs and other access methods

JavaScript API

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

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

JDBC
RESTful HTTP API
Trino CLI

HTTP API

Supported programming languages

JavaScript

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

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

Go
Java
JavaScript (Node.js)
Python
R
Ruby

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

yes, depending on connected data-source

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

depending on connected data-source

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Active-active shard replication

selectable replication factor

depending on connected data-source

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

depending on connected data-source

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

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

No - written data is immutable

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

depending on connected data-source

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

fine grained access rights according to SQL-standard

simple password-based access control

SQL standard access control

More information provided by the system vendor

Specific characteristics

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Competitive advantages

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Typical application scenarios

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Key customers

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Market metrics

33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
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Licensing and pricing models

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8 May 2024

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24 April 2024

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15 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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