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DBMS > Atos Standard Common Repository vs. NCache vs. Solr vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. NCache vs. Solr vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonNCache  Xexclude from comparisonSolr  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOpen-Source and Enterprise in-memory Key-Value StoreA widely used distributed, scalable search engine based on Apache LuceneCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Key-value store
Key-value storeSearch engineVector DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.94
Rank#195  Overall
#29  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.alachisoft.com/­ncachesolr.apache.orgwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationwww.alachisoft.com/­resources/­docssolr.apache.org/­resources.html
DeveloperAtos Convergence CreatorsAlachisoftApache Software Foundation
Initial release2016200520062023
Current release17035.3.3, April 20249.6.0, April 20241.0, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen Source infoApache Version 2commercial
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 languageJavaC#, .NET, .NET Core, JavaJavaC++
Server operating systemsLinuxLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Data schemeSchema and schema-less with LDAP viewsschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptionalpartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes infosupports customizable data types and automatic typingVector, Numeric and String
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.yesnoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.Solr Parallel SQL Interfaceno
APIs and other access methodsLDAPIDistributedCache
JCache
LINQ
Proprietary native API
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Python
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRJava pluginsno
Triggersyesyes infoNotificationsyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsoptimistic locking and pessimistic lockingoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yesRole based access control and fine grained access rights
More information provided by the system vendor
Atos Standard Common RepositoryNCacheSolrTranswarp Hippo
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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More resources
Atos Standard Common RepositoryNCacheSolrTranswarp Hippo
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