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DBMS > Kingbase vs. NCache vs. Sphinx vs. Splice Machine

System Properties Comparison Kingbase vs. NCache vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameKingbase  Xexclude from comparisonNCache  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Open-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.kingbase.com.cnwww.alachisoft.com/­ncachesphinxsearch.comsplicemachine.com
Technical documentationwww.alachisoft.com/­resources/­docssphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperBeiJing KINGBASE Information technologies inc.AlachisoftSphinx Technologies Inc.Splice Machine
Initial release1999200520012014
Current releaseV8.0, August 20215.3.3, April 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaC#, .NET, .NET Core, JavaC++Java
Server operating systemsLinux
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counternoyes
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.yesno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLStandard with numerous extensionsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsno infosupport for stored procedures with SQL-Server CLRnoyes infoJava
Triggersyesyes infoNotificationsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningyesSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic locking and pessimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)noAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
KingbaseNCacheSphinxSplice Machine
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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KingbaseNCacheSphinxSplice Machine
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