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DBMS > IRONdb vs. Microsoft Access vs. Sadas Engine vs. SiriDB vs. SQLite

System Properties Comparison IRONdb vs. Microsoft Access vs. Sadas Engine vs. SiriDB vs. SQLite

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSQLite  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMSWidely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­accesswww.sadasengine.comsiridb.comwww.sqlite.org
Technical documentationdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­accesswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.comwww.sqlite.org/­docs.html
DeveloperCirconus LLC.MicrosoftSADAS s.r.l.CesbitDwayne Richard Hipp
Initial release20171992200620172000
Current releaseV0.10.20, January 20181902 (16.0.11328.20222), March 20198.03.45.3  (15 April 2024), April 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C++CC
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsAIX
Linux
Windows
Linuxserver-less
Data schemeschema-freeyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes infoNumeric datayes infonot rigid because of 'dynamic typing' concept.
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standardyesnoyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP APIADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial 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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 infoStored proceduresyes, in Luayes infosince Access 2010 using the ACE-enginenonono
Triggersnoyes infosince Access 2010 using the ACE-enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenonehorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenonenoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standardsimple rights management via user accountsno

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More resources
IRONdbMicrosoft AccessSadas EngineSiriDBSQLite
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