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DBMS > 4D vs. AnzoGraph DB vs. Atos Standard Common Repository vs. Ehcache vs. PlanetScale

System Properties Comparison 4D vs. AnzoGraph DB vs. Atos Standard Common Repository vs. Ehcache vs. PlanetScale

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisonPlanetScale  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 virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted Java cache with tiered storage optionsScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Key-value store
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.4d.comcambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgplanetscale.com
Technical documentationdeveloper.4d.comdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ehcache.org/­documentationplanetscale.com/­docs
Developer4D, IncCambridge SemanticsAtos Convergence CreatorsTerracotta Inc, owned by Software AGPlanetScale
Initial release19842018201620092020
Current releasev20, April 20232.3, January 202117033.10.0, March 2022
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
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 languageJavaJavaGo
Server operating systemsOS X
Windows
LinuxLinuxAll OS with a Java VMDocker
Linux
macOS
Data schemeyesSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsschema-freeyes
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.yesnoyesno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL and SPARQL* as primary query language. Cypher preview.nonoyes infowith proprietary extensions
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
LDAPJCacheADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages4D proprietary IDE
PHP
C++
Java
Python
All languages with LDAP bindingsJavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnonoyes infoproprietary syntax
Triggersyesnoyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infocell divisionSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in MPP-Clusteryesyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesno infonot needed in graphsnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourceACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesLDAP bind authenticationnoUsers with fine-grained authorization concept infono user groups or roles

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4D infoformer name: 4th DimensionAnzoGraph DBAtos Standard Common RepositoryEhcachePlanetScale
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