DBMS > IRONdb vs. SAP IQ vs. StarRocks vs. Tkrzw

System Properties Comparison IRONdb vs. SAP IQ vs. StarRocks vs. Tkrzw

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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

Columnar RDBMS optimized for Big Data analytics

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

column-oriented

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

Score	2.64
Rank	#108	Overall
	#52	Relational DBMS

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Score	0.07
Rank	#372	Overall
	#57	Key-value stores

Website

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

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

www.starrocks.io

dbmx.net/tkrzw

Technical documentation

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

help.sap.com/docs/SAP_IQ

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

Developer

Circonus LLC.

SAP, formerly Sybase

The Linux Foundation

since Feb 2023

Mikio Hirabayashi

Initial release

2017

1994

2020

Current release

V0.10.20, January 2018

16.1 SPS04, April 2019

3.3, June 2024

0.9.3, August 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

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

C and C++

C++, Java

C++

Server operating systems

Linux

AIX
HP-UX
Linux
Solaris
Windows

Linux

Linux
macOS

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

text, numeric, histograms

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.

Secondary indexes

yes

SQL

Support of SQL

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

yes

APIs and other access methods

HTTP API

ADO.NET
JDBC
ODBC
RESTful HTTP API

JDBC
MySQL protocol

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#
C++
Java
Perl
PHP
Python
Ruby

Java

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes, in Lua

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic, metric affinity per node

shared disk or shared nothing architectures with SAP IQ Multiplexer

horizontal partitioning (by range and hash)

none

Replication methods

Methods for redundantly storing data on multiple nodes

configurable replication factor, datacenter aware

SAP/Sybase Replication Server

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency per node, eventual consistency across nodes

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

using specific database classes

User concepts

Access control

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

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More resources

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