DBMS > IRONdb vs. Percona Server for MySQL vs. Sadas Engine vs. SiriDB vs. SQLite

System Properties Comparison IRONdb vs. Percona Server for MySQL vs. Sadas Engine vs. SiriDB vs. SQLite

Editorial information provided by DB-Engines

Name

Description

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

Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.

SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments

Open Source Time Series DBMS

Widely used embeddable, in-process RDBMS

Primary database model

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

Score	0.00
Rank	#335	Overall
	#31	Time Series DBMS

Score	2.98
Rank	#101	Overall
	#50	Relational DBMS

Score	0.00
Rank	#333	Overall
	#138	Relational DBMS

Score	0.04
Rank	#316	Overall
	#28	Time Series DBMS

Score	121.89
Rank	#9	Overall
	#6	Relational DBMS

Website

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

www.percona.com/software/mysql-database/percona-server

www.sadasengine.com

siridb.net

www.sqlite.org

Technical documentation

docs.circonus.com/irondb

www.percona.com/downloads/Percona-Server-LATEST

www.sadasengine.com/index.php/downloads/documentation-columnar-db

docs.siridb.net

www.sqlite.org/docs.html

Developer

Circonus LLC.

Percona

SADAS s.r.l.

Transceptor Technology

Dwayne Richard Hipp

Initial release

2017

2008

2006

2017

2000

Current release

V0.10.20, January 2018

8.0.21-12, 2020

8.0

3.34.0 (December 1, 2020), December 2020

License

Commercial or Open Source

commercial

Open Source

GPL version 2

commercial

free trial version available

Open Source

MIT License

Open Source

Public Domain

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++

Server operating systems

Linux

AIX
Linux
Windows

Linux

server-less

Data scheme

schema-free

yes

dynamic column types

Typing

predefined data types such as float or date

yes

text, numeric, histograms

yes

Numeric data

yes

not rigid because of 'dynamic typing' concept.

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 (Circonus Analytics Query Language: CAQL)

yes

SQL-92 is not fully supported

APIs and other access methods

HTTP API

ADO.NET
JDBC
ODBC

JDBC
ODBC
Proprietary protocol

HTTP API

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

Supported programming languages

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

Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
C
C#
C++
Groovy
Java
PHP
Python

C
C++
Go
Python

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts

Stored procedures

yes, in Lua

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic, metric affinity per node

horizontal partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

configurable replication factor, datacenter aware

Multi-source replication
Source-replica replication
XtraDB Cluster

none

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

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

via file-system locks

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

managed by 'Learn by Usage'

yes

User concepts

Access control

Users with fine-grained authorization concept

no user groups or roles

Access rights for users, groups and roles according to SQL-standard

simple rights management via user accounts

More information provided by the system vendor

Specific characteristics

IRONdb is a highly available, distributed Time Series Database. It can support dozens...
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Competitive advantages

Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
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Typical application scenarios

Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
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Key customers

IRONdb serves the needs of the world's largest Time Series Database customers. One...
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Market metrics

Only TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
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Licensing and pricing models

IRONdb is licensed under a subscription model based on the number of active metrics...
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