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DBMS > IRONdb vs. Oracle Rdb vs. Realm vs. Splice Machine vs. Vitess

System Properties Comparison IRONdb vs. Oracle Rdb vs. Realm vs. Splice Machine vs. Vitess

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonVitess  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 DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.oracle.com/­database/­technologies/­related/­rdb.htmlrealm.iosplicemachine.comvitess.io
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrealm.io/­docssplicemachine.com/­how-it-worksvitess.io/­docs
DeveloperCirconus LLC.Oracle, originally developed by Digital Equipment Corporation (DEC)Realm, acquired by MongoDB in May 2019Splice MachineThe Linux Foundation, PlanetScale
Initial release20171984201420142013
Current releaseV0.10.20, January 20187.4.1.1, 20213.1, March 202115.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0, commercial licenses 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++JavaGo
Server operating systemsLinuxHP Open VMSAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyesyes
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.nonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesnoyesyes infowith proprietary extensions
APIs and other access methodsHTTP APIJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
MySQL protocol
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
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, in Luano inforuns within the applications so server-side scripts are unnecessaryyes infoJavayes infoproprietary syntax
Triggersnoyes infoChange Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
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 ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infotable locks or row locks depending on storage engine
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 infoIn-Memory realmyesyes
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
IRONdbOracle RdbRealmSplice MachineVitess
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