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DBMS > Kinetica vs. LevelDB vs. MonetDB vs. TerarkDB vs. TypeDB

System Properties Comparison Kinetica vs. LevelDB vs. MonetDB vs. TerarkDB vs. TypeDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonMonetDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA relational database management system that stores data in columnsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitewww.kinetica.comgithub.com/­google/­leveldbwww.monetdb.orggithub.com/­bytedance/­terarkdbtypedb.com
Technical documentationdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.monetdb.org/­Documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctypedb.com/­docs
DeveloperKineticaGoogleMonetDB BVByteDance, originally TerarkVaticle
Initial release20122011200420162016
Current release7.1, August 20211.23, February 2021Dec2023 (11.49), December 20232.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoMozilla Public License 2.0commercial inforestricted open source version availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++CC++Java
Server operating systemsLinuxIllumos
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL 2003 with some extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
C++ API
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes, in SQL, C, Rnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tablesnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone infoSource-replica replication available in experimental statusnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnofine grained access rights according to SQL-standardnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
KineticaLevelDBMonetDBTerarkDBTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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KineticaLevelDBMonetDBTerarkDBTypeDB infoformerly named Grakn
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