DBMS > BigObject vs. InterSystems IRIS vs. STSdb

System Properties Comparison BigObject vs. InterSystems IRIS vs. STSdb

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

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

Key-Value Store with special method for indexing

optimized for high performance using a special indexing method

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Document store
Key-value store
Object oriented DBMS
Relational DBMS

Key-value store

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

Score	0.13
Rank	#332	Overall
	#147	Relational DBMS

Score	2.89
Rank	#94	Overall
	#17	Document stores
	#16	Key-value stores
	#1	Object oriented DBMS
	#49	Relational DBMS

Score	0.03
Rank	#363	Overall
	#54	Key-value stores

Website

bigobject.io

www.intersystems.com/products/intersystems-iris

github.com/STSSoft/STSdb4

Technical documentation

docs.bigobject.io

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

Developer

BigObject, Inc.

InterSystems

STS Soft SC

Initial release

2015

2018

2011

Current release

2023.3, June 2023

4.0.8, September 2015

License

Commercial or Open Source

commercial

free community edition available

commercial

Open Source

GPLv2, commercial license available

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

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

AIX
Linux
macOS
Ubuntu
Windows

Windows

Data scheme

yes

depending on used data model

yes

Typing

predefined data types such as float or date

yes

primitive types and user defined types (classes)

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

SQL-like DML and DDL statements

yes

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

JDBC
ODBC
RESTful HTTP API

.NET Client API

Supported programming languages

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

C#
Java

Server-side scripts

Stored procedures

Lua

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

Durability

Support for making data persistent

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

yes

More information provided by the system vendor

Specific characteristics

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