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DBMS > 4D vs. AllegroGraph vs. Apache Druid vs. GridGain

System Properties Comparison 4D vs. AllegroGraph vs. Apache Druid vs. GridGain

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAllegroGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemHigh performance, persistent RDF store with additional support for Graph DBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelRelational DBMSDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMS
Time Series DBMS
Key-value store
Relational 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
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitewww.4d.comallegrograph.comdruid.apache.orgwww.gridgain.com
Technical documentationdeveloper.4d.comfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.html
Developer4D, IncFranz Inc.Apache Software Foundation and contributorsGridGain Systems, Inc.
Initial release1984200420122007
Current releasev20, April 20238.0, December 202329.0.1, April 2024GridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .Net
Server operating systemsOS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Linux
OS X
Solaris
Windows
Data schemeyesyes infoRDF schemasyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL is used as query languageSQL for queryingANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages4D proprietary IDE
PHP
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispnoyes (compute grid and cache interceptors can be used instead)
Triggersyesyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnonewith FederationSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yes, via HDFS, S3 or other storage enginesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.nononoyes
User concepts infoAccess controlUsers and groupsUsers with fine-grained authorization concept, user roles and pluggable authenticationRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity Hooks for custom implementations
More information provided by the system vendor
4D infoformer name: 4th DimensionAllegroGraphApache DruidGridGain
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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