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DBMS > Kinetica vs. TimesTen vs. Vitess vs. WakandaDB

System Properties Comparison Kinetica vs. TimesTen vs. Vitess vs. WakandaDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonTimesTen  Xexclude from comparisonVitess  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.Scalable, distributed, cloud-native DBMS, extending MySQLWakandaDB 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
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlvitess.iowakanda.github.io
Technical documentationdocs.kinetica.comdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.htmlvitess.io/­docswakanda.github.io/­doc
DeveloperKineticaOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005The Linux Foundation, PlanetScaleWakanda SAS
Initial release2012199820132012
Current release7.1, August 2021Release 22.115.0.2, December 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses availableOpen 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++GoC++, JavaScript
Server operating systemsLinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Docker
Linux
macOS
Linux
OS X
Windows
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
ADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functionsPL/SQLyes infoproprietary syntaxyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
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 or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyes infoby means of logfiles and checkpointsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesno
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesyes

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More resources
KineticaTimesTenVitessWakandaDB
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