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DBMS > 4D vs. Atos Standard Common Repository vs. Couchbase vs. Spark SQL vs. TigerGraph

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Couchbase vs. Spark SQL vs. TigerGraph

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  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 distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store
Key-value store
Document storeRelational DBMSGraph DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.80
Rank#111  Overall
#55  Relational DBMS
Score19.15
Rank#36  Overall
#5  Document stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score1.92
Rank#143  Overall
#13  Graph DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.couchbase.comspark.apache.org/­sqlwww.tigergraph.com
Technical documentationdeveloper.4d.comdocs.couchbase.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
Developer4D, IncAtos Convergence CreatorsCouchbase, Inc.Apache Software Foundation
Initial release19842016201120142017
Current releasev20, April 20231703Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, Go and ErlangScalaC++
Server operating systemsOS X
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92noSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyesnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++noyes
Triggersyesyesyes infovia the TAP protocolnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionAutomatic Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication infoincluding cross data center replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoEphemeral bucketsnono
User concepts infoAccess controlUsers and groupsLDAP bind authenticationUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.noRole-based access control

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryCouchbase infoOriginally called MembaseSpark SQLTigerGraph
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