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DBMS > 4D vs. Apache Druid vs. Atos Standard Common Repository vs. Faircom EDGE vs. Titan

System Properties Comparison 4D vs. Apache Druid vs. Atos Standard Common Repository vs. Faircom EDGE vs. Titan

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonTitan  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
Key-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Websitewww.4d.comdruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-edgegithub.com/­thinkaurelius/­titan
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­thinkaurelius/­titan/­wiki
Developer4D, IncApache Software Foundation and contributorsAtos Convergence CreatorsFairCom CorporationAurelius, owned by DataStax
Initial release19842012201619792012
Current releasev20, April 202329.0.1, April 20241703V3, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercial infoRestricted, free version availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaANSI C, C++Java
Server operating systemsOS X
Windows
Linux
OS X
Unix
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Unix
Windows
Data schemeyesyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesoptionalyes, ANSI Standard SQL Typesyes
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.yesnoyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingnoyes infoANSI SQL queriesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
LDAPADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Clojure
Java
Python
Server-side scripts infoStored proceduresyesnonoyes info.Net, JavaScript, C/C++yes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedSharding infocell divisionFile partitioning infoCustomizable business rules for partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infowhen using SQLyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.User authentification and security via Rexster Graph Server

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More resources
4D infoformer name: 4th DimensionApache DruidAtos Standard Common RepositoryFaircom EDGE infoformerly c-treeEDGETitan
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