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DBMS > Kinetica vs. PlanetScale vs. Sadas Engine vs. Sphinx vs. Yanza

System Properties Comparison Kinetica vs. PlanetScale vs. Sadas Engine vs. Sphinx vs. Yanza

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonPlanetScale  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFully vectorized database across both GPUs and CPUsScalable, distributed, serverless MySQL database platform built on top of VitessSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineTime Series 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
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.kinetica.complanetscale.comwww.sadasengine.comsphinxsearch.comyanza.com
Technical documentationdocs.kinetica.complanetscale.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperKineticaPlanetScaleSADAS s.r.l.Sphinx Technologies Inc.Yanza
Initial release20122020200620012015
Current release7.1, August 20218.03.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++GoC++C++
Server operating systemsLinuxDocker
Linux
macOS
AIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsyesSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Proprietary protocol
Proprietary protocolHTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyes infoproprietary syntaxnonono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelnono
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardnono

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More resources
KineticaPlanetScaleSadas EngineSphinxYanza
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