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DBMS > 4D vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. NCache

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Google Cloud Spanner vs. NCache

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonNCache  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSKey-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­spannerwww.alachisoft.com/­ncache
Technical documentationdeveloper.4d.comcloud.google.com/­spanner/­docswww.alachisoft.com/­resources/­docs
Developer4D, IncAtos Convergence CreatorsGoogleAlachisoft
Initial release1984201620172005
Current releasev20, April 202317035.3.3, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#, .NET, .NET Core, Java
Server operating systemsOS X
Windows
LinuxhostedLinux
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.yesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noyes infoQuery statements complying to ANSI 2011SQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesnonono infosupport for stored procedures with SQL-Server CLR
Triggersyesyesnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication with 3 replicas for regional instances.yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoStrict serializable isolationoptimistic locking and pessimistic locking
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.noyesnoyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle Cloud SpannerNCache
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 ,...
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Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
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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
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle Cloud SpannerNCache
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