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DBMS > 4D vs. AllegroGraph vs. Atos Standard Common Repository vs. GeoMesa vs. IRONdb

System Properties Comparison 4D vs. AllegroGraph vs. Atos Standard Common Repository vs. GeoMesa vs. IRONdb

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAllegroGraph  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonIRONdb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemHigh performance, persistent RDF store with additional support for Graph DBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Key-value store
Spatial DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websitewww.4d.comallegrograph.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orgwww.circonus.com/solutions/time-series-database/
Technical documentationdeveloper.4d.comfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.circonus.com/irondb/category/getting-started
Developer4D, IncFranz Inc.Atos Convergence CreatorsCCRi and othersCirconus LLC.
Initial release19842004201620142017
Current releasev20, April 20238.0, December 202317034.0.5, February 2024V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercialOpen Source infoApache License 2.0commercial
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.
Implementation languageJavaScalaC and C++
Server operating systemsOS X
Windows
Linux
OS X
Windows
LinuxLinux
Data schemeyesyes infoRDF schemasSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesyes infotext, numeric, histograms
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.yesno infobulk load of XML files possibleyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL is used as query languagenonoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP API
SPARQL
LDAPHTTP API
Supported programming languages4D proprietary IDE
PHP
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispnonoyes, in Lua
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonewith FederationSharding infocell divisiondepending on storage layerAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yesdepending on storage layerconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsnono
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.nonoyesdepending on storage layerno
User concepts infoAccess controlUsers and groupsUsers with fine-grained authorization concept, user roles and pluggable authenticationLDAP bind authenticationyes infodepending on the DBMS used for storageno
More information provided by the system vendor
4D infoformer name: 4th DimensionAllegroGraphAtos Standard Common RepositoryGeoMesaIRONdb
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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