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DBMS > Atos Standard Common Repository vs. NCache vs. Solr vs. SurrealDB

System Properties Comparison Atos Standard Common Repository vs. NCache vs. Solr vs. SurrealDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonNCache  Xexclude from comparisonSolr  Xexclude from comparisonSurrealDB  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 LuceneA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Key-value store
Key-value storeSearch engineDocument store
Graph 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
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.alachisoft.com/­ncachesolr.apache.orgsurrealdb.com
Technical documentationwww.alachisoft.com/­resources/­docssolr.apache.org/­resources.htmlsurrealdb.com/­docs
DeveloperAtos Convergence CreatorsAlachisoftApache Software FoundationSurrealDB Ltd
Initial release2016200520062022
Current release17035.3.3, April 20249.6.0, April 2024v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availableOpen Source infoApache Version 2Open Source
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, JavaJavaRust
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
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
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 typingyes
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.yesnoyes
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.Solr Parallel SQL InterfaceSQL-like query language
APIs and other access methodsLDAPIDistributedCache
JCache
LINQ
Proprietary native API
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
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
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnono infosupport for stored procedures with SQL-Server CLRJava plugins
Triggersyesyes infoNotificationsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyesSharding
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 Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsoptimistic locking and pessimistic lockingoptimistic lockingACID
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.yesyesyes
User concepts infoAccess controlLDAP bind authenticationAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)yesyes, based on authentication and database rules
More information provided by the system vendor
Atos Standard Common RepositoryNCacheSolrSurrealDB
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 RepositoryNCacheSolrSurrealDB
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