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DBMS > Kdb vs. NCache vs. Sphinx vs. SWC-DB

System Properties Comparison Kdb vs. NCache vs. Sphinx vs. SWC-DB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonNCache  Xexclude from comparisonSphinx  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionHigh performance Time Series DBMSOpen-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databasesA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMS
Vector DBMS
Key-value storeSearch engineWide column store
Secondary database modelsRelational DBMSDocument store
Search engine infoUsing distributed Lucene
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.98
Rank#196  Overall
#29  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Score0.01
Rank#387  Overall
#13  Wide column stores
Websitekx.comwww.alachisoft.com/­ncachesphinxsearch.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationcode.kx.comwww.alachisoft.com/­resources/­docssphinxsearch.com/­docs
DeveloperKx Systems, a division of First Derivatives plcAlachisoftSphinx Technologies Inc.Alex Kashirin
Initial release2000 infokdb was released 2000, kdb+ in 2003200520012020
Current release3.6, May 20185.3.3, April 20243.5.1, February 20230.5, April 2021
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoEnterprise Edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
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 languageqC#, .NET, .NET Core, JavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counterno
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.yesnono
Secondary indexesyes infotable attribute 'grouped'yesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (q)SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language (SphinxQL)SQL-like query language
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocolProprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.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++
Server-side scripts infoStored proceduresuser defined functionsno infosupport for stored procedures with SQL-Server CLRnono
Triggersyes infowith viewsyes infoNotificationsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyesnono
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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingno
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.yesyesno
User concepts infoAccess controlrights management via user accountsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
KdbNCacheSphinxSWC-DB infoSuper Wide Column Database
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
NCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
NCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
NCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Bank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Market Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsupon request
» more
NCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
KdbNCacheSphinxSWC-DB infoSuper Wide Column Database
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