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

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

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBigObject  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 queriesGlobally 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 imposedDocument 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
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.4d.combigobject.ioazure.microsoft.com/­services/­cosmos-dbwww.ibm.com/­products/­netezza
Technical documentationdeveloper.4d.comdocs.bigobject.iolearn.microsoft.com/­azure/­cosmos-db
Developer4D, IncBigObject, Inc.MicrosoftIBM
Initial release1984201520142000
Current releasev20, April 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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)
hostedLinux infoincluded in appliance
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes 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.yesno
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
fluentd
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
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 proceduresyesLuaJavaScriptyes
TriggersyesnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith 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 tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.noyes
User concepts infoAccess controlUsers and groupsnoAccess rights can be defined down to the item levelUsers with fine-grained authorization concept

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