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DBMS > 4D vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. SingleStore vs. SpatiaLite

System Properties Comparison 4D vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. SingleStore vs. SpatiaLite

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeSpatial extension of SQLite
Primary database modelRelational DBMSDocument storeDocument store
Key-value store
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score1.91
Rank#124  Overall
#22  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Websitewww.4d.comaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.singlestore.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdeveloper.4d.comaws.amazon.com/­documentdb/­resourcesdocs.singlestore.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Developer4D, IncAtos Convergence CreatorsSingleStore Inc.Alessandro Furieri
Initial release19842019201620132008
Current releasev20, April 202317038.5, January 20245.0.0, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree developer edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, GoC++
Server operating systemsOS X
Windows
hostedLinuxLinux info64 bit version requiredserver-less
Data schemeyesschema-freeSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.yesnoyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyes infobut no triggers and foreign keysyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
proprietary protocol using JSON (MongoDB compatible)LDAPCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages4D proprietary IDE
PHP
Go
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesLDAP bind authenticationFine grained access control via users, groups and rolesno

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More resources
4D infoformer name: 4th DimensionAmazon DocumentDBAtos Standard Common RepositorySingleStore infoformer name was MemSQLSpatiaLite
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