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DBMS > SWC-DB vs. TDSQL for MySQL vs. Tkrzw vs. Valentina Server vs. XTDB

System Properties Comparison SWC-DB vs. TDSQL for MySQL vs. Tkrzw vs. Valentina Server vs. XTDB

Editorial information provided by DB-Engines
NameSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonValentina Server  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA 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 concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetObject-relational database and reports serverA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelWide column storeRelational DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tencentcloud.com/­products/­dcdbdbmx.net/­tkrzwwww.valentina-db.netgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.tencentcloud.com/­document/­product/­1042valentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwww.xtdb.com/­docs
DeveloperAlex KashirinTencentMikio HirabayashiParadigma SoftwareJuxt Ltd.
Initial release20202013202019992019
Current release0.5, April 20210.9.3, August 20205.7.51.19, September 2021
License infoCommercial or Open SourceOpen Source infoGPL V3commercialOpen Source infoApache Version 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Clojure
Server operating systemsLinuxhostedLinux
macOS
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, 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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocol
Thrift
JDBC
ODBC
ODBCHTTP REST
JDBC
Supported programming languagesC++C
C#
C++
Java
PHP
Python
Ruby
C++
Java
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Clojure
Java
Server-side scripts infoStored proceduresnoyesnoyesno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes, each node contains all data
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, 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.nonoyes infousing specific database classesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standard

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More resources
SWC-DB infoSuper Wide Column DatabaseTDSQL for MySQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetValentina ServerXTDB infoformerly named Crux
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