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DBMS > OrigoDB vs. SWC-DB vs. TDSQL for MySQL vs. XTDB vs. Yanza

System Properties Comparison OrigoDB vs. SWC-DB vs. TDSQL for MySQL vs. XTDB vs. Yanza

Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fully ACID in-memory object graph databaseA high performance, scalable Wide Column DBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A general purpose database with bitemporal SQL and Datalog and graph queriesTime Series DBMS for IoT Applications
Primary database modelDocument store
Object oriented DBMS
Wide column storeRelational DBMSDocument storeTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteorigodb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tencentcloud.com/­products/­dcdbgithub.com/­xtdb/­xtdb
www.xtdb.com
yanza.com
Technical documentationorigodb.com/­docswww.tencentcloud.com/­document/­product/­1042www.xtdb.com/­docs
DeveloperRobert Friberg et alAlex KashirinTencentJuxt Ltd.Yanza
Initial release2009 infounder the name LiveDB2020201320192015
Current release0.5, April 20211.19, September 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL V3commercialOpen Source infoMIT Licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++Clojure
Server operating systemsLinux
Windows
LinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesyes, extensible-data-notation formatno
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.no infocan be achieved using .NETnononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like query languageyeslimited SQL, making use of Apache Calciteno
APIs and other access methods.NET Client API
HTTP API
LINQ
Proprietary protocol
Thrift
JDBC
ODBC
HTTP REST
JDBC
HTTP API
Supported programming languages.NetC++C
C#
C++
Java
PHP
Python
Ruby
Clojure
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesnoyesnono
Triggersyes infoDomain Eventsnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes, each node contains all datanone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole based authorizationUsers with fine-grained authorization conceptno

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More resources
OrigoDBSWC-DB infoSuper Wide Column DatabaseTDSQL for MySQLXTDB infoformerly named CruxYanza
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