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DBMS > AlaSQL vs. HBase vs. NCache vs. Sphinx

System Properties Comparison AlaSQL vs. HBase vs. NCache vs. Sphinx

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonHBase  Xexclude from comparisonNCache  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionJavaScript DBMS libraryWide-column store based on Apache Hadoop and on concepts of BigTableOpen-Source and Enterprise in-memory Key-Value StoreOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Wide column storeKey-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
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.98
Rank#196  Overall
#29  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Websitealasql.orghbase.apache.orgwww.alachisoft.com/­ncachesphinxsearch.com
Technical documentationgithub.com/­AlaSQL/­alasqlhbase.apache.org/­book.htmlwww.alachisoft.com/­resources/­docssphinxsearch.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation infoApache top-level project, originally developed by PowersetAlachisoftSphinx Technologies Inc.
Initial release2014200820052001
Current release2.3.4, January 20215.3.3, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache version 2Open Source infoEnterprise Edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC#, .NET, .NET Core, JavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows infousing Cygwin
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROpartial 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 indexesnonoyesyes infofull-text index on all search fields
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-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 methodsJavaScript APIJava API
RESTful HTTP API
Thrift
IDistributedCache
JCache
LINQ
Proprietary native API
Proprietary protocol
Supported programming languagesJavaScriptC
C#
C++
Groovy
Java
PHP
Python
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
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javano infosupport for stored procedures with SQL-Server CLRno
Triggersyesyesyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageSingle row ACID (across millions of columns)optimistic locking and pessimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes 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.yesyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)no
More information provided by the system vendor
AlaSQLHBaseNCacheSphinx
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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