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DBMS > 4D vs. Atos Standard Common Repository vs. eXtremeDB vs. TigerGraph

System Properties Comparison 4D vs. Atos Standard Common Repository vs. eXtremeDB 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 comparisoneXtremeDB  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 networksNatively in-memory DBMS with options for persistency, high-availability and clusteringA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.40
Rank#111  Overall
#54  Relational DBMS
Score0.74
Rank#203  Overall
#101  Relational DBMS
#13  Time Series DBMS
Score1.88
Rank#123  Overall
#9  Graph DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mcobject.com/­extremedbfamilywww.tigergraph.com
Technical documentationlivedoc.4d.comwww.mcobject.com/­docs/­extremedb.htmdocs.tigergraph.com
Developer4D, IncAtos Convergence CreatorsMcObject
Initial release1984201620012017
Current releasev18 R5, January 202117038.2, November 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
eXtremeDB on AWS: High performance DBMS for HPC and Capital Market computing
Implementation languageJavaC and C++C++
Server operating systemsOS X
Windows
LinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.yesyesno infosupport of XML interfaces availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noyes infowith the option: eXtremeSQLSQL-like query language (GSQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAP.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
Server-side scripts infoStored proceduresyesnoyesyes
Triggersyesyesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioning / sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.noyesyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryeXtremeDBTigerGraph
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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TigerGraph is a native graph database, with massively parallel processing and fully...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Four out of the top five global banks use TigerGraph for real-time fraud detection....
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Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
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ANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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4D infoformer name: 4th DimensionAtos Standard Common RepositoryeXtremeDBTigerGraph
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