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DBMS > 4D vs. AnzoGraph DB vs. Apache Phoenix vs. Atos Standard Common Repository vs. Databricks

System Properties Comparison 4D vs. AnzoGraph DB vs. Apache Phoenix vs. Atos Standard Common Repository vs. Databricks

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSDocument store
Key-value store
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websitewww.4d.comcambridgesemantics.com/­anzographphoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.com
Technical documentationdeveloper.4d.comdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmphoenix.apache.orgdocs.databricks.com
Developer4D, IncCambridge SemanticsApache Software FoundationAtos Convergence CreatorsDatabricks
Initial release19842018201420162013
Current releasev20, April 20232.3, January 20215.0-HBase2, July 2018 and 4.15-HBase1, December 20191703
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsOS X
Windows
LinuxLinux
Unix
Windows
Linuxhosted
Data schemeyesSchema-free and OWL/RDFS-schema supportyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesoptional
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.yesnonoyesyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL and SPARQL* as primary query language. Cypher preview.yesnowith Databricks SQL
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCLDAPJDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C++
Java
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsPython
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesuser defined functionsnouser defined functions and aggregates
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingSharding infocell division
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic execution of specific 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.noyesyesyesno
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authentication
More information provided by the system vendor
4D infoformer name: 4th DimensionAnzoGraph DBApache PhoenixAtos Standard Common RepositoryDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
4D infoformer name: 4th DimensionAnzoGraph DBApache PhoenixAtos Standard Common RepositoryDatabricks
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