DBMS > Altibase vs. InterSystems IRIS vs. TimescaleDB vs. TimesTen

System Properties Comparison Altibase vs. InterSystems IRIS vs. TimescaleDB vs. TimesTen

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalability

A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL

In-Memory RDBMS compatible to Oracle

Primary database model

Relational DBMS

Document store
Key-value store
Object oriented DBMS
Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	1.14
Rank	#159	Overall
	#79	Relational DBMS

Score	1.59
Rank	#131	Overall
	#21	Document stores
	#24	Key-value stores
	#3	Object oriented DBMS
	#65	Relational DBMS

Score	2.77
Rank	#97	Overall
	#5	Time Series DBMS

Score	1.89
Rank	#120	Overall
	#59	Relational DBMS

Website

altibase.com

www.intersystems.com/products/intersystems-iris

www.timescale.com

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

Technical documentation

altibase.com/resources/manuals

docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls

docs.timescale.com

docs.oracle.com/database/timesten-18.1

Developer

Altibase

InterSystems

Timescale

Oracle, TimesTen Performance Software, HP

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

Initial release

1999

2018

2017

1998

Current release

v7.1.0.5.3, March 2021

2020.2, July 2020

11 Release 2 (11.2.2.8.0)

License

Commercial or Open Source

Open Source

since February 2018

commercial

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

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

AIX
Linux
macOS
Windows

Linux
OS X
Windows

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

Data scheme

yes

depending on used data model

yes

Typing

predefined data types such as float or date

yes

numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types

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

SQL

Support of SQL

ANSI SQL-92

yes

full PostgreSQL SQL syntax

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

C
C++
Java

.Net
C++
Java
JavaScript (Node.js)
Python

.Net
C
C++
Delphi
Java

JDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl

C
C++
Java
PL/SQL

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell

PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes, across time and space (hash partitioning) attributes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

Source-replica replication with hot standby and reads on replicas

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

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

yes

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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InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

Timescale is the creator of TimescaleDB , the first open-source relational database...
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Competitive advantages

Since its inception, Altibase has been renowned for its in-memory capabilities. Altibase...
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TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more

Typical application scenarios

Altibase has been deployed for over 6000 mission-critical use cases that demand hundreds...
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DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
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Key customers

Since 1999, Altibase has served over 600 enterprise clients including 9 Fortune Global...
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TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
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Market metrics

Over 600 global enterprise clients including 8 Fortune Global 500 companies Over...
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With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
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Licensing and pricing models

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

TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
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