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DBMS > 4D vs. Apache Phoenix vs. FatDB vs. HBase vs. KairosDB

System Properties Comparison 4D vs. Apache Phoenix vs. FatDB vs. HBase vs. KairosDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFatDB  Xexclude from comparisonHBase  Xexclude from comparisonKairosDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionApplication development environment with integrated database management systemA scale-out RDBMS with evolutionary schema built on Apache HBaseA .NET NoSQL DBMS that can integrate with and extend SQL Server.Wide-column store based on Apache Hadoop and on concepts of BigTableDistributed Time Series DBMS based on Cassandra or H2
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Wide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Websitewww.4d.comphoenix.apache.orghbase.apache.orggithub.com/­kairosdb/­kairosdb
Technical documentationdeveloper.4d.comphoenix.apache.orghbase.apache.org/­book.htmlkairosdb.github.io
Developer4D, IncApache Software FoundationFatCloudApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release19842014201220082013
Current releasev20, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 20211.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#JavaJava
Server operating systemsOS X
Windows
Linux
Unix
Windows
WindowsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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.yesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92yesno infoVia inetgration in SQL Servernono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
RESTful HTTP API
Thrift
Graphite protocol
HTTP REST
Telnet API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infovia applicationsyes infoCoprocessors in Javano
Triggersyesnoyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoSingle row ACID (across millions of columns)no
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.noyesyesno
User concepts infoAccess controlUsers and groupsAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno infoCan implement custom security layer via applicationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access control

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More resources
4D infoformer name: 4th DimensionApache PhoenixFatDBHBaseKairosDB
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