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

System Properties Comparison 4D vs. Atos Standard Common Repository vs. TigerGraph vs. Vertica

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonTigerGraph  Xexclude from comparisonVertica infoVertica Analytics Platform  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 complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.40
Rank#111  Overall
#54  Relational DBMS
Score1.88
Rank#123  Overall
#9  Graph DBMS
Score20.68
Rank#35  Overall
#21  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.tigergraph.comwww.vertica.com
Technical documentationlivedoc.4d.comdocs.tigergraph.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
Developer4D, IncAtos Convergence CreatorsVertica / Micro Focus infoprior to that Hewlett Packard
Initial release1984201620172005
Current releasev18 R5, January 20211703Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
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
LinuxLinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsyesyes infoUnstructured data can be stored in specific Flex-Tables
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.yesyesnoyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like query language (GSQL)yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC++
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesnoyesyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
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.noyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryTigerGraphVertica infoVertica Analytics Platform
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are available
» more

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryTigerGraphVertica infoVertica Analytics Platform
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