DBMS > InterSystems Caché vs. Trino vs. YTsaurus

System Properties Comparison InterSystems Caché vs. Trino vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

A multi-model DBMS and application server

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Document store
Key-value store

Secondary database models

Document store

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	5.13
Rank	#62	Overall
	#35	Relational DBMS

Score	0.23
Rank	#301	Overall
	#45	Document stores
	#44	Key-value stores

Website

www.intersystems.com/products/cache

trino.io

ytsaurus.tech

Technical documentation

docs.intersystems.com

trino.io/broadcast
trino.io/docs/current

ytsaurus.tech/docs/en

Developer

InterSystems

Trino Software Foundation

Yandex

Initial release

1997

2012

2020 rebranded from PrestoSQL

2023

Current release

2018.1.4, May 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

Linux
macOS

for devlopment

Ubuntu

Data scheme

depending on used data model

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.

yes

Secondary indexes

yes

depending on connected data-source

SQL

Support of SQL

yes

YQL, an SQL-based language, is supported

APIs and other access methods

.NET Client API
JDBC
ODBC
RESTful HTTP API

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

C#
C++
Java

Go
Java
JavaScript (Node.js)
Python
R
Ruby

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

yes, depending on connected data-source

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

depending on connected data-source

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

depending on connected data-source

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on connected data-source

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

depending on connected data-source

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

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

Access rights for users, groups and roles

SQL standard access control

Access Control Lists

More information provided by the system vendor

News

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17 March 2025

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

70: Previewing a new UI
13 February 2025

Out with the old file system
10 February 2025

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