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DBMS > 4D vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. Microsoft Access vs. TigerGraph

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Google Cloud Datastore vs. Microsoft Access vs. TigerGraph

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Access  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 networksAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastorewww.microsoft.com/­en-us/­microsoft-365/­accesswww.tigergraph.com
Technical documentationdeveloper.4d.comcloud.google.com/­datastore/­docsdeveloper.microsoft.com/­en-us/­accessdocs.tigergraph.com
Developer4D, IncAtos Convergence CreatorsGoogleMicrosoft
Initial release19842016200819922017
Current releasev20, April 202317031902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsOS X
Windows
LinuxhostedWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyes, details hereyesyes
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 92noSQL-like query language (GQL)yes infobut not compliant to any SQL standardSQL-like query language (GSQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Server-side scripts infoStored proceduresyesnousing Google App Engineyes infosince Access 2010 using the ACE-engineyes
TriggersyesyesCallbacks using the Google Apps Engineyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Role-based access control

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle Cloud DatastoreMicrosoft AccessTigerGraph
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