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DBMS > IRONdb vs. JaguarDB vs. Netezza vs. SQL.JS

System Properties Comparison IRONdb vs. JaguarDB vs. Netezza vs. SQL.JS

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Editorial information provided by DB-Engines

Name

IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity

Performant, highly scalable DBMS for AI and IoT applications

Data warehouse and analytics appliance part of IBM PureSystems

Port of SQLite to JavaScript

Primary database model

Time Series DBMS

Key-value store
Vector DBMS

Relational DBMS

Relational DBMS

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores
	#13	Vector DBMS

Score	9.06
Rank	#46	Overall
	#29	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.circonus.com/solutions/time-series-database/

www.jaguardb.com

www.ibm.com/products/netezza

Technical documentation

docs.circonus.com/irondb/category/getting-started

www.jaguardb.com/support.html

sql.js.org/documentation/index.html

Developer

Circonus LLC.

DataJaguar, Inc.

IBM

Alon Zakai

enhancements implemented by others

Initial release

2017

2015

2000

2012

Current release

V0.10.20, January 2018

3.3 July 2023

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

commercial

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and C++

C++

the server part. Clients available in other languages

JavaScript

Server operating systems

Linux

Linux

Linux

included in appliance

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

Data scheme

schema-free

yes

yes

yes

Typing

predefined data types such as float or date

yes

text, numeric, histograms

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

no

no

Secondary indexes

no

yes

yes

SQL

Support of SQL

SQL-like query language (Circonus Analytics Query Language: CAQL)

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

yes

SQL-92 is not fully supported

APIs and other access methods

HTTP API

JDBC
ODBC

JDBC
ODBC
OLE DB

JavaScript API

Supported programming languages

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

C
C++
Fortran
Java
Lua
Perl
Python
R

JavaScript

Server-side scripts

Stored procedures

yes, in Lua

no

yes

no

Triggers

no

no

no

no

Partitioning methods

Methods for storing different data on different nodes

Automatic, metric affinity per node

Sharding

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

configurable replication factor, datacenter aware

Multi-source replication

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency per node, eventual consistency across nodes

Eventual Consistency

none

Foreign keys

Referential integrity

no

no

no

yes

Transaction concepts

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

no

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes

Durability

Support for making data persistent

yes

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.

no

no

yes

User concepts

Access control

no

rights management via user accounts

Users with fine-grained authorization concept

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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