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DBMS > IRONdb vs. Kingbase vs. Oracle Rdb vs. Sphinx vs. ToroDB

System Properties Comparison IRONdb vs. Kingbase vs. Oracle Rdb vs. Sphinx vs. ToroDB

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonKingbase  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparisonToroDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.ToroDB 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 simplicityAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open source search engine for searching in data from different sources, e.g. relational databasesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelTime Series DBMSRelational DBMSRelational DBMSSearch engineDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.circonus.com/solutions/time-series-database/www.kingbase.com.cnwww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.comgithub.com/­torodb/­server
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperCirconus LLC.BeiJing KINGBASE Information technologies inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.8Kdata
Initial release20171999198420012016
Current releaseV0.10.20, January 2018V8.0, August 20217.4.1.1, 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL-V3
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 and JavaC++Java
Server operating systemsLinuxLinux
Windows
HP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesnoyes infostring, integer, double, boolean, date, object_id
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.noyesnono
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)Standard with numerous extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Proprietary protocol
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
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes, in Luauser defined functionsno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
IRONdbKingbaseOracle RdbSphinxToroDB
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