DBMS > 4D vs. Alibaba Cloud Table Store vs. Lovefield vs. Memcached

System Properties Comparison 4D vs. Alibaba Cloud Table Store vs. Lovefield vs. Memcached

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

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

Embeddable relational database for web apps written in pure JavaScript

In-memory key-value store, originally intended for caching

Primary database model

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

Score	2.68
Rank	#110	Overall
	#54	Relational DBMS

Score	0.24
Rank	#310	Overall
	#12	Wide column stores

Score	0.32
Rank	#290	Overall
	#132	Relational DBMS

Score	20.74
Rank	#32	Overall
	#4	Key-value stores

Website

www.4d.com

www.alibabacloud.com/product/table-store

google.github.io/lovefield

www.memcached.org

Technical documentation

developer.4d.com

www.alibabacloud.com/help/en/tablestore

github.com/google/lovefield/blob/master/docs/spec_index.md

github.com/memcached/memcached/wiki

Developer

4D, Inc

Alibaba

Google

Danga Interactive

originally developed by Brad Fitzpatrick for LiveJournal

Initial release

1984

2016

2014

2003

Current release

v20, April 2023

2.1.12, February 2017

1.6.25, March 2024

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

BSD license

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

Server operating systems

OS X
Windows

hosted

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

tested with Chrome, Firefox, IE, Safari

FreeBSD
Linux
OS X
Unix
Windows

Data scheme

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HTTP API

Proprietary protocol

Supported programming languages

4D proprietary IDE
PHP

Java
Python

JavaScript

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Using read-only observers

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

Multi-source replication

yes

Implicit feature of the cloud service

none

Repcached, a Memcached patch, provides this functionallity

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Atomic single-row operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

using MemoryDB

User concepts

Access control

Users and groups

Access rights based on subaccounts and tokens

yes

using SASL (Simple Authentication and Security Layer) protocol

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