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DBMS > Kinetica vs. LeanXcale vs. LevelDB vs. TerarkDB

System Properties Comparison Kinetica vs. LeanXcale vs. LevelDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparisonLevelDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.kinetica.comwww.leanxcale.comgithub.com/­google/­leveldbgithub.com/­bytedance/­terarkdb
Technical documentationdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperKineticaLeanXcaleGoogleByteDance, originally Terark
Initial release2012201520112016
Current release7.1, August 20211.23, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Data schemeyesyesschema-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 indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbynono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
C++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
Java
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
Server-side scripts infoStored proceduresuser 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 nodesShardingnonenone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelnono

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More resources
KineticaLeanXcaleLevelDBTerarkDB
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