DBMS > AlaSQL vs. Amazon DocumentDB vs. AntDB vs. Hypertable

System Properties Comparison AlaSQL vs. Amazon DocumentDB vs. AntDB vs. Hypertable

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

JavaScript DBMS library

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

A scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with Oracle

An open source BigTable implementation based on distributed file systems such as Hadoop

Primary database model

Document store
Relational DBMS

Document store

Relational DBMS

Wide column store

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

Score	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	1.91
Rank	#131	Overall
	#24	Document stores

Score	0.23
Rank	#317	Overall
	#141	Relational DBMS

Website

alasql.org

aws.amazon.com/documentdb

www.asiainfo.com/en_us/product_aisware_antdb_detail.html

Technical documentation

github.com/AlaSQL/alasql

aws.amazon.com/documentdb/resources

Developer

Andrey Gershun & Mathias R. Wulff

AsiaInfo Technologies Limited

Hypertable Inc.

Initial release

2014

2019

2009

Current release

0.9.8.11, March 2016

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

GNU version 3. Commercial license available

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

Linux
OS X
Windows

an inofficial Windows port is available

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

restricted

only exact value or prefix value scans

SQL

Support of SQL

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

SQL2016 compliant

APIs and other access methods

JavaScript API

proprietary protocol using JSON (MongoDB compatible)

JDBC
MySQL protocol compliant
ODBC

C++ API
Thrift

Supported programming languages

JavaScript

Go
Java
JavaScript (Node.js)
PHP
Python

C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

selectable replication factor on file system level

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

typically not used, however similar functionality with DBRef possible

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

Atomic single-document operations

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 for users and roles

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