DBMS > Hyprcubd vs. InterSystems IRIS

System Properties Comparison Hyprcubd vs. InterSystems IRIS

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Editorial information provided by DB-Engines

Name

Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.

Description

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

Primary database model

Time Series DBMS

Document store
Key-value store
Object oriented DBMS
Relational DBMS

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

Score	2.29
Rank	#107	Overall
	#20	Document stores
	#17	Key-value stores
	#1	Object oriented DBMS
	#53	Relational DBMS

Website

hyprcubd.com (offline)

www.intersystems.com/products/intersystems-iris

Technical documentation

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

Developer

Hyprcubd, Inc.

InterSystems

Initial release

2018

Current release

2023.3, June 2023

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

hosted

AIX
Linux
macOS
Ubuntu
Windows

Data scheme

yes

depending on used data model

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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

SQL-like query language

yes

APIs and other access methods

gRPC (https)

JDBC
ODBC
RESTful HTTP API

Supported programming languages

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

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

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

In-memory capabilities

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

yes

User concepts

Access control

token access

yes

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