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DBMS > 4D vs. BigObject vs. FileMaker vs. Microsoft Azure Cosmos DB vs. Netezza

System Properties Comparison 4D vs. BigObject vs. FileMaker vs. Microsoft Azure Cosmos DB vs. Netezza

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBigObject  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAnalytic DBMS for real-time computations and queriesFileMaker is a cross-platform RDBMS that includes a GUI frontend.Globally distributed, horizontally scalable, multi-model database serviceData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.4d.combigobject.iowww.claris.com/­filemakerazure.microsoft.com/­services/­cosmos-dbwww.ibm.com/­products/­netezza
Technical documentationdeveloper.4d.comdocs.bigobject.iowww.claris.com/­resources/­documentationlearn.microsoft.com/­azure/­cosmos-db
Developer4D, IncBigObject, Inc.Claris infoa subsidiary of AppleMicrosoftIBM
Initial release19842015198320142000
Current releasev20, April 202319.4.1, November 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsOS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
iOS infoclient part only
Linux
OS X
Windows
hostedLinux infoincluded in appliance
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON 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.yesnoyes infoA http query request can return the data in XML format
Secondary indexesyesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsyes infovia pluginsSQL-like query languageyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
fluentd
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
PHP.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesLuayesJavaScriptyes
TriggersyesnoyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replication, warm standby infosince Version 14yes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyesyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
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.noyes
User concepts infoAccess controlUsers and groupsnosimple rights management via user accounts and connection to external directory servicesAccess rights can be defined down to the item levelUsers with fine-grained authorization concept

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More resources
4D infoformer name: 4th DimensionBigObjectFileMakerMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBNetezza infoAlso called PureData System for Analytics by IBM
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