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DBMS > Alibaba Cloud Table Store vs. Cubrid vs. NCache vs. Sphinx

System Properties Comparison Alibaba Cloud Table Store vs. Cubrid vs. NCache vs. Sphinx

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonCubrid  Xexclude from comparisonNCache  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPOpen-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeRelational DBMSKey-value storeSearch engine
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#251  Overall
#12  Wide column stores
Score1.36
Rank#148  Overall
#73  Relational DBMS
Score1.04
Rank#174  Overall
#29  Key-value stores
Score7.91
Rank#56  Overall
#6  Search engines
Websitewww.alibabacloud.com/­product/­table-storecubrid.com (korean)
cubrid.org (english)
www.alachisoft.com/­ncachesphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­product/­27278.htmcubrid.org/­manualswww.alachisoft.com/­resources/­docssphinxsearch.com/­docs
DeveloperAlibabaCUBRID Corporation, CUBRID FoundationAlachisoftSphinx Technologies Inc.
Initial release2016200820052001
Current release11.0, January 20215.2, April 20213.4.1, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoEnterprise Edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
NCache Cloud: NCache Cloud is available in Azure and AWS Marketplaces as a Service. This means you can now obtain it instantaneously with a few mouse clicks, and seamlessly scale your cache deployment without any down time.
Implementation languageC, C++, JavaC#, .NET, .NET Core, JavaC++
Server operating systemshostedLinux
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial 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.nonono
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query language (SphinxQL)
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
OLE DB
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocol
Supported programming languagesJava
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoJava Stored Proceduresno infosupport for stored procedures with SQL-Server CLRno
Triggersnoyesyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDoptimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
Alibaba Cloud Table StoreCubridNCacheSphinx
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Alibaba Cloud Table StoreCubridNCacheSphinx
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