DBMS > Amazon Redshift vs. Hypertable vs. searchxml vs. SQL.JS

System Properties Comparison Amazon Redshift vs. Hypertable vs. searchxml vs. SQL.JS

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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

Large scale data warehouse service for use with business intelligence tools

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

DBMS for structured and unstructured content wrapped with an application server

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Wide column store

Native XML DBMS
Search engine

Relational DBMS

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

Score	17.94
Rank	#34	Overall
	#21	Relational DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

aws.amazon.com/redshift

www.searchxml.net/category/products

sql.js.org

Technical documentation

docs.aws.amazon.com/redshift

www.searchxml.net/support/handouts

sql.js.org/documentation/index.html

Developer

Amazon (based on PostgreSQL)

Hypertable Inc.

informationpartners gmbh

Alon Zakai

enhancements implemented by others

Initial release

2012

2009

2015

2012

Current release

0.9.8.11, March 2016

1.0

License

Commercial or Open Source

commercial

Open Source

GNU version 3. Commercial license available

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++

JavaScript

Server operating systems

hosted

Linux
OS X
Windows

an inofficial Windows port is available

Windows

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

Data scheme

yes

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.

yes

Secondary indexes

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC

C++ API
Thrift

RESTful HTTP API
WebDAV
XQuery
XSLT

JavaScript API

Supported programming languages

All languages supporting JDBC/ODBC

C++
Java
Perl
PHP
Python
Ruby

C++

most other programming languages supported via APIs

JavaScript

Server-side scripts

Stored procedures

user defined functions

in Python

yes

on the application server

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor on file system level

yes

sychronisation to multiple collections

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

informational only, not enforced by the system

yes

Transaction concepts

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

ACID

multiple readers, single writer

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

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

Domain, group and role-based access control at the document level and for application services

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