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DBMS > Kinetica vs. Lovefield vs. NuoDB vs. PlanetScale

System Properties Comparison Kinetica vs. Lovefield vs. NuoDB vs. PlanetScale

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLovefield  Xexclude from comparisonNuoDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsEmbeddable relational database for web apps written in pure JavaScriptNuoDB is a webscale distributed database that supports SQL and ACID transactionsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
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
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitewww.kinetica.comgoogle.github.io/­lovefieldwww.3ds.com/­nuodb-distributed-sql-databaseplanetscale.com
Technical documentationdocs.kinetica.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.nuodb.complanetscale.com/­docs
DeveloperKineticaGoogleDassault Systèmes infooriginally NuoDB, Inc.PlanetScale
Initial release2012201420132020
Current release7.1, August 20212.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaScriptC++Go
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
JavaScript.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnoJava, SQLyes infoproprietary syntax
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeUsing read-only observersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocolACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infousing MemoryDByes infoTemporary tableyes
User concepts infoAccess controlAccess rights for users and roles on table levelnoStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization concept infono user groups or roles

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More resources
KineticaLovefieldNuoDBPlanetScale
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