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DBMS > IRONdb vs. OceanBase vs. OrigoDB vs. XTDB

System Properties Comparison IRONdb vs. OceanBase vs. OrigoDB vs. XTDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonOceanBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonXTDB infoformerly named Crux  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 distributed, high available RDBMS compatible with Oracle and MySQLA fully ACID in-memory object graph databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.circonus.com/solutions/time-series-database/en.oceanbase.comorigodb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.circonus.com/irondb/category/getting-starteden.oceanbase.com/­docs/­oceanbase-databaseorigodb.com/­docswww.xtdb.com/­docs
DeveloperCirconus LLC.OceanBase infopreviously Alibaba and Ant GroupRobert Friberg et alJuxt Ltd.
Initial release201720102009 infounder the name LiveDB2019
Current releaseV0.10.20, January 20184.3.0, April 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoCommercial license availableOpen SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C#Clojure
Server operating systemsLinuxLinuxLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesUser defined using .NET types and collectionsyes, extensible-data-notation format
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.noyesno infocan be achieved using .NETno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesnolimited SQL, making use of Apache Calcite
APIs and other access methodsHTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.NetClojure
Java
Server-side scripts infoStored proceduresyes, in LuaPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyesno
Triggersnoyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioning (by hash, key, range, range columns, list, and list columns)horizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replication using PaxosSource-replica replicationyes, each node contains all data
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 Consistency
Foreign keys infoReferential integritynoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole based authorization

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More resources
IRONdbOceanBaseOrigoDBXTDB infoformerly named Crux
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