DBMS > Amazon Redshift vs. BigObject

System Properties Comparison Amazon Redshift vs. BigObject

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Editorial information provided by DB-Engines

Name

Description

Large scale data warehouse service for use with business intelligence tools

Analytic DBMS for real-time computations and queries

Primary database model

Relational DBMS

Relational DBMS info

a hierachical model (tree) can be imposed

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

Score	20.67
Rank	#31	Overall
	#19	Relational DBMS

Score	0.05
Rank	#319	Overall
	#135	Relational DBMS

Website

aws.amazon.com/redshift

www.bigobject.io

Technical documentation

docs.aws.amazon.com/redshift

docs.bigobject.io

Developer

Amazon (based on PostgreSQL)

BigObject, Inc.

Initial release

2012

2015

License

Commercial or Open Source

commercial

commercial info

free community edition available

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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Implementation language

Server operating systems

hosted

Linux

distributed as a docker-image
OS X info

distributed as a docker-image (boot2docker)
Windows info

distributed as a docker-image (boot2docker)

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

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

restricted

yes

SQL

Support of SQL

yes

does not fully support an SQL-standard

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

fluentd
RESTful HTTP API
ODBC

Supported programming languages

All languages supporting JDBC/ODBC

Server-side scripts info

Stored procedures

user defined functions info

in Python

Lua

Triggers

Partitioning methods info

Methods for storing different data on different nodes

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys info

Referential integrity

yes

informational only, not enforced by the system

yes

automatically between fact table and dimension tables

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

Durability info

Support for making data persistent

yes

In-memory capabilities info

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

yes

User concepts info

Access control

fine grained access rights according to SQL-standard

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