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DBMS > 4D vs. Apache Phoenix vs. Atos Standard Common Repository vs. Cassandra vs. TigerGraph

System Properties Comparison 4D vs. Apache Phoenix vs. Atos Standard Common Repository vs. Cassandra vs. TigerGraph

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCassandra  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 systemA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Wide column storeGraph DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score103.86
Rank#12  Overall
#1  Wide column stores
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.4d.comphoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorycassandra.apache.orgwww.tigergraph.com
Technical documentationdeveloper.4d.comphoenix.apache.orgcassandra.apache.org/­doc/­latestdocs.tigergraph.com
Developer4D, IncApache Software FoundationAtos Convergence CreatorsApache Software Foundation infoApache top level project, originally developped by Facebook
Initial release19842014201620082017
Current releasev20, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 201917034.1.3, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2commercial
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.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaJavaC++
Server operating systemsOS X
Windows
Linux
Unix
Windows
LinuxBSD
Linux
OS X
Windows
Linux
Data schemeyesyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.yesnoyesnono
Secondary indexesyesyesyesrestricted infoonly equality queries, not always the best performing solution
SQL infoSupport of SQLyes infoclose to SQL 92yesnoSQL-like SELECT, DML and DDL statements (CQL)SQL-like query language (GSQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCLDAPProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresyesuser defined functionsnonoyes
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsno infoAtomicity and isolation are supported for single operationsACID
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.noyesyesnono
User concepts infoAccess controlUsers and groupsAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationAccess rights for users can be defined per objectRole-based access control
More information provided by the system vendor
4D infoformer name: 4th DimensionApache PhoenixAtos Standard Common RepositoryCassandraTigerGraph
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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