DBMS > Altibase vs. Google BigQuery vs. TimesTen

System Properties Comparison Altibase vs. Google BigQuery vs. TimesTen

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Large scale data warehouse service with append-only tables

In-Memory RDBMS compatible to Oracle

Primary database model

Relational DBMS

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

Score	1.44
Rank	#145	Overall
	#72	Relational DBMS

Score	36.00
Rank	#24	Overall
	#15	Relational DBMS

Score	2.40
Rank	#112	Overall
	#55	Relational DBMS

Website

altibase.com

cloud.google.com/bigquery

www.oracle.com/database/technologies/related/timesten.html

Technical documentation

altibase.com/resources/manuals

cloud.google.com/bigquery/docs

docs.oracle.com/database/timesten-18.1

Developer

Altibase

Google

Oracle, TimesTen Performance Software, HP

originally founded in HP Labs it was acquired by Oracle in 2005

Initial release

1999

2010

1998

Current release

7.1, July 2017

11 Release 2 (11.2.2.8.0)

License

Commercial or Open Source

Open Source

since February 2018

commercial

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++

Server operating systems

AIX
HP-UX
Linux

hosted

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

RESTful HTTP/JSON API

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

C
C++
Java

.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby

C
C++
Java
PL/SQL

Server-side scripts

Stored procedures

stored procedures and stored functions

user defined functions

in JavaScript

PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Since BigQuery is designed for querying data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by means of logfiles and checkpoints

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

Access privileges (owner, writer, reader) for whole datasets, not for individual tables

Google Cloud Identity & Access Management (IAM)

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

Altibase is an enterprise grade open source DBMS . It allows for high performance...
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Competitive advantages

Since its inception, Altibase has been renowned for its in-memory capabilities. Altibase...
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Typical application scenarios

Altibase has been deployed for over 6000 mission-critical use cases that demand hundreds...
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Key customers

Since 1999, Altibase has served over 600 enterprise clients including 9 Fortune Global...
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Market metrics

Over 600 global enterprise clients including 8 Fortune Global 500 companies Over...
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Licensing and pricing models

No License Cost Altibase is an open source DBMS which includes its sharding Subscription...
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