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DBMS > Apache IoTDB vs. InterSystems Caché vs. SQL.JS

System Properties Comparison Apache IoTDB vs. InterSystems Caché vs. SQL.JS

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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

An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink

A multi-model DBMS and application server

Port of SQLite to JavaScript

Primary database model

Time Series DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Secondary database models

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

Score	1.31
Rank	#164	Overall
	#14	Time Series DBMS

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

iotdb.apache.org

www.intersystems.com/products/cache

Technical documentation

iotdb.apache.org/UserGuide/Master/QuickStart/QuickStart.html

docs.intersystems.com

sql.js.org/documentation/index.html

Developer

Apache Software Foundation

InterSystems

Alon Zakai

enhancements implemented by others

Initial release

2018

1997

2012

Current release

1.1.0, April 2023

2018.1.4, May 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

JavaScript

Server operating systems

All OS with a Java VM (>= 1.8)

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

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

depending on used data model

yes

Typing

predefined data types such as float or date

yes

yes

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.

no

yes

no

Secondary indexes

yes

yes

SQL

Support of SQL

SQL-like query language

yes

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
Native API

.NET Client API
JDBC
ODBC
RESTful HTTP API

JavaScript API

Supported programming languages

C
C#
C++
Go
Java
Python
Scala

C#
C++
Java

JavaScript

Server-side scripts

Stored procedures

yes

yes

no

Triggers

yes

yes

no

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by time range) + vertical partitioning (by deviceId)

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Integration with Hadoop and Spark

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Strong Consistency with Raft

Immediate Consistency

none

Foreign keys

Referential integrity

no

yes

yes

Transaction concepts

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

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Durability

Support for making data persistent

yes

yes

no

except by serializing a db to a file

In-memory capabilities

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

yes

yes

yes

User concepts

Access control

yes

Access rights for users, groups and roles

no

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