DBMS > Alibaba Cloud Table Store vs. GBase vs. InterSystems Caché vs. LokiJS

System Properties Comparison Alibaba Cloud Table Store vs. GBase vs. InterSystems Caché vs. LokiJS

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

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

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

A multi-model DBMS and application server

In-memory JavaScript DBMS

Primary database model

Wide column store

Relational DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Document store

Secondary database models

Document store

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

Score	0.31
Rank	#297	Overall
	#11	Wide column stores

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Website

www.alibabacloud.com/product/table-store

www.gbase.cn

www.intersystems.com/products/cache

github.com/techfort/LokiJS

Technical documentation

www.alibabacloud.com/help/en/tablestore

docs.intersystems.com

techfort.github.io/LokiJS

Developer

Alibaba

General Data Technology Co., Ltd.

InterSystems

Initial release

2016

2004

1997

2014

Current release

GBase 8a, GBase 8s, GBase 8c

2018.1.4, May 2020

License

Commercial or Open Source

commercial

Open Source

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

C, Java, Python

JavaScript

Server operating systems

hosted

Linux

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

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

Data scheme

schema-free

yes

depending on used data model

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.

yes

Secondary indexes

yes

via views

SQL

Support of SQL

Standard with numerous extensions

yes

APIs and other access methods

HTTP API

ADO.NET
C API
JDBC
ODBC

.NET Client API
JDBC
ODBC
RESTful HTTP API

JavaScript API

Supported programming languages

Java
Python

C#
C++
Java

JavaScript

Server-side scripts

Stored procedures

user defined functions

yes

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning (by range, list and hash) and vertical partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-row operations

ACID

atomic operations within a single collection possible

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Serialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.

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

yes

Access rights for users, groups and roles

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More resources

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