DBMS > AlaSQL vs. Alibaba Cloud Table Store vs. Google BigQuery vs. MaxDB

System Properties Comparison AlaSQL vs. Alibaba Cloud Table Store vs. Google BigQuery vs. MaxDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

Large scale data warehouse service with append-only tables

A robust and reliable RDBMS optimized to run all major SAP solutions

Primary database model

Document store
Relational DBMS

Wide column store

Relational DBMS

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

Score	0.42
Rank	#264	Overall
	#42	Document stores
	#122	Relational DBMS

Score	0.25
Rank	#294	Overall
	#12	Wide column stores

Score	52.67
Rank	#19	Overall
	#13	Relational DBMS

Score	2.15
Rank	#115	Overall
	#55	Relational DBMS

Website

alasql.org

www.alibabacloud.com/product/table-store

cloud.google.com/bigquery

maxdb.sap.com

Technical documentation

github.com/AlaSQL/alasql

www.alibabacloud.com/help/en/tablestore

cloud.google.com/bigquery/docs

maxdb.sap.com/documentation

Developer

Andrey Gershun & Mathias R. Wulff

Alibaba

Google

SAP, acquired from Software AG (Adabas-D) in 1997

Initial release

2014

2016

2010

1984

Current release

7.9.10.12, February 2024

License

Commercial or Open Source

Open Source

MIT-License

commercial

Limited community edition free

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

C++

Server operating systems

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

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.

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

HTTP API

RESTful HTTP/JSON API

ADO.NET
JDBC
ODBC
WebDAV

Supported programming languages

JavaScript

Java
Python

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

.Net
C#
Java
Perl
PHP
Python

Server-side scripts

Stored procedures

user defined functions

in JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Implicit feature of the cloud service

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

Atomic single-row operations

Since BigQuery is designed for querying data

ACID

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

User concepts

Access control

Access rights based on subaccounts and tokens

Access privileges (owner, writer, reader) on dataset, table or view level

Google Cloud Identity & Access Management (IAM)

fine grained access rights according to SQL-standard

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