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DBMS > Kinetica vs. OceanBase vs. SQLite vs. WakandaDB

System Properties Comparison Kinetica vs. OceanBase vs. SQLite vs. WakandaDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOceanBase  Xexclude from comparisonSQLite  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA distributed, high available RDBMS compatible with Oracle and MySQLWidely used embeddable, in-process RDBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.kinetica.comen.oceanbase.comwww.sqlite.orgwakanda.github.io
Technical documentationdocs.kinetica.comen.oceanbase.com/­docs/­oceanbase-databasewww.sqlite.org/­docs.htmlwakanda.github.io/­doc
DeveloperKineticaOceanBase infopreviously Alibaba and Ant GroupDwayne Richard HippWakanda SAS
Initial release2012201020002012
Current release7.1, August 20214.3.0, April 20243.46.0  (23 May 2024), May 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoCommercial license availableOpen Source infoPublic DomainOpen Source infoAGPLv3, extended commercial license 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++CC++, JavaScript
Server operating systemsLinuxLinuxserver-lessLinux
OS X
Windows
Data schemeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosnonenone
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 integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
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 levelAccess rights for users, groups and roles according to SQL-standardnoyes

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More resources
KineticaOceanBaseSQLiteWakandaDB
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