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DBMS > Kinetica vs. OceanBase vs. Sphinx vs. SwayDB

System Properties Comparison Kinetica vs. OceanBase vs. Sphinx vs. SwayDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOceanBase  Xexclude from comparisonSphinx  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA distributed, high available RDBMS compatible with Oracle and MySQLOpen source search engine for searching in data from different sources, e.g. relational databasesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSSearch engineKey-value store
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
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.66
Rank#147  Overall
#68  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.kinetica.comen.oceanbase.comsphinxsearch.comswaydb.simer.au
Technical documentationdocs.kinetica.comen.oceanbase.com/­docs/­oceanbase-databasesphinxsearch.com/­docs
DeveloperKineticaOceanBase infopreviously Alibaba and Ant GroupSphinx Technologies Inc.Simer Plaha
Initial release2012201020012018
Current release7.1, August 20214.3.0, April 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoCommercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoGNU Affero GPL V3.0
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++C++Scala
Server operating systemsLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.noyesno
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (SphinxQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Proprietary protocol
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding 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 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 integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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 RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardnono
More information provided by the system vendor
KineticaOceanBaseSphinxSwayDB
Specific characteristicsOceanBase Database is the world’s only native distributed database that has set new...
» more
Competitive advantagesHigh Availability : The five IDCs across three sites disaster recovery solution sets...
» more
Key customersOceanBase Database has helped over 400 customers across industries upgrade their...
» more
Market metricsTPC-C No.1 Performance , achieved a result of 707.35 million tpmC in the TPC-C benchmark...
» more
Licensing and pricing modelsMulan PubL v2 license for open source community edition. Commercial license for enterprise...
» more

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KineticaOceanBaseSphinxSwayDB
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