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

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

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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 Datastore  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 PlatformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store
Key-value store
Document storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.40
Rank#111  Overall
#54  Relational DBMS
Score4.68
Rank#77  Overall
#11  Document stores
Score1.88
Rank#123  Overall
#9  Graph DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­datastorewww.tigergraph.com
Technical documentationlivedoc.4d.comcloud.google.com/­datastore/­docsdocs.tigergraph.com
Developer4D, IncAtos Convergence CreatorsGoogle
Initial release1984201620082017
Current releasev18 R5, January 20211703
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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++
Server operating systemsOS X
Windows
LinuxhostedLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyes, details hereyes
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 indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like query language (GQL)SQL-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
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++
Java
Server-side scripts infoStored proceduresyesnousing Google App Engineyes
TriggersyesyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication using Paxos
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 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 pathsyes 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
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.noyesnono
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle Cloud DatastoreTigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
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Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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