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DBMS > IRONdb vs. MonetDB vs. Oracle Rdb vs. Splice Machine vs. STSdb

System Properties Comparison IRONdb vs. MonetDB vs. Oracle Rdb vs. Splice Machine vs. STSdb

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  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 simplicityA relational database management system that stores data in columnsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.circonus.com/solutions/time-series-database/www.monetdb.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlsplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.monetdb.org/­Documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsplicemachine.com/­how-it-works
DeveloperCirconus LLC.MonetDB BVOracle, originally developed by Digital Equipment Corporation (DEC)Splice MachineSTS Soft SC
Initial release20172004198420142011
Current releaseV0.10.20, January 2018Dec2023 (11.49), December 20237.4.1.1, 20213.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
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++CJavaC#
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
HP Open VMSLinux
OS X
Solaris
Windows
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyesyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL 2003 with some extensionsyesyesno
APIs and other access methodsHTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
Native Spark Datasource
ODBC
.NET Client 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++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyes, in Luayes, in SQL, C, Ryes infoJavano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding via remote tablesShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
IRONdbMonetDBOracle RdbSplice MachineSTSdb
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