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DBMS > IRONdb vs. Netezza vs. SQLite vs. Tkrzw vs. Yaacomo

System Properties Comparison IRONdb vs. Netezza vs. SQLite vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSQLite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityData warehouse and analytics appliance part of IBM PureSystemsWidely used embeddable, in-process RDBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.circonus.com/solutions/time-series-database/www.ibm.com/­products/­netezzawww.sqlite.orgdbmx.net/­tkrzwyaacomo.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.sqlite.org/­docs.html
DeveloperCirconus LLC.IBMDwayne Richard HippMikio HirabayashiQ2WEB GmbH
Initial release20172000200020202009
Current releaseV0.10.20, January 20183.45.3  (15 April 2024), April 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic DomainOpen Source infoApache Version 2.0commercial
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++CC++
Server operating systemsLinuxLinux infoincluded in applianceserver-lessLinux
macOS
Android
Linux
Windows
Data schemeschema-freeyesyes infodynamic column typesschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes infonot rigid because of 'dynamic typing' concept.noyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesyes infoSQL-92 is not fully supportednoyes
APIs and other access methodsHTTP APIJDBC
ODBC
OLE DB
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
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++
Fortran
Java
Lua
Perl
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luayesnono
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classesyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptnonofine grained access rights according to SQL-standard

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More resources
IRONdbNetezza infoAlso called PureData System for Analytics by IBMSQLiteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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