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DBMS > atoti vs. Kinetica vs. TerarkDB vs. Tkrzw

System Properties Comparison atoti vs. Kinetica vs. TerarkDB vs. Tkrzw

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Fully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelObject oriented DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteatoti.iowww.kinetica.comgithub.com/­bytedance/­terarkdbdbmx.net/­tkrzw
Technical documentationdocs.atoti.iodocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperActiveViamKineticaByteDance, originally TerarkMikio Hirabayashi
Initial release201220162020
Current release7.1, August 20210.9.3, August 2020
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C++
Server operating systemsLinuxLinux
macOS
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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 indexesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresPythonuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and roles on table levelnono

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More resources
atotiKineticaTerarkDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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