DBMS > Alibaba Cloud AnalyticDB for MySQL vs. DataFS vs. GeoSpock vs. LokiJS vs. PouchDB

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. DataFS vs. GeoSpock vs. LokiJS vs. PouchDB

Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

A real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

Spatial and temporal data processing engine for extreme data scale

In-memory JavaScript DBMS

JavaScript DBMS with an API inspired by CouchDB

Primary database model

Secondary database models

Document store

Graph DBMS

Time Series DBMS

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

Score	0.91
Rank	#201	Overall
	#94	Relational DBMS

Score	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	0.49
Rank	#260	Overall
	#42	Document stores

Score	2.34
Rank	#112	Overall
	#21	Document stores

Website

www.alibabacloud.com/product/analyticdb-for-mysql

newdatabase.com

geospock.com

github.com/techfort/LokiJS

pouchdb.com

Technical documentation

www.alibabacloud.com/help/doc-detail/93776.htm

dev.mobiland.com/Overview.xsp

techfort.github.io/LokiJS

pouchdb.com/guides

Developer

Alibaba

Mobiland AG

GeoSpock

Apache Software Foundation

Initial release

2018

2014

2012

Current release

1.1.263, October 2022

2.0, September 2019

7.1.1, June 2019

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

Java, Javascript

JavaScript

Server operating systems

hosted

Windows

hosted

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

Data scheme

yes

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

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

temporal, categorical

yes

via views

yes

via views

SQL

Support of SQL

yes

ANSI SQL for query only (using Presto)

APIs and other access methods

JDBC
ODBC

.NET Client API
Proprietary client DLL
WinRT client

JDBC

JavaScript API

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

C#
Java
PHP
Python

.Net
C
C#
C++
VB.Net

JavaScript

Server-side scripts

Stored procedures

yes

View functions in JavaScript

Triggers

yes

no, except callback-events from server when changes happened

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Proprietary Sharding system

Automatic sharding

none

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

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.

yes

by using IndexedDB, WebSQL or LevelDB as backend

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Windows-Profile

Access rights for users can be defined per table

More information provided by the system vendor

Specific characteristics

A real-time data warehousing service that can process PB data with high concurrency...
» more

Competitive advantages

TPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more

Licensing and pricing models

Available regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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