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DBMS > 4D vs. Atos Standard Common Repository vs. Google BigQuery vs. Machbase Neo vs. PostGIS

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Google BigQuery vs. Machbase Neo vs. PostGIS

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonPostGIS  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLarge scale data warehouse service with append-only tablesTimeSeries DBMS for AIoT and BigDataSpatial extension of PostgreSQL
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigquerymachbase.compostgis.net
Technical documentationdeveloper.4d.comcloud.google.com/­bigquery/­docsmachbase.com/­dbmspostgis.net/­documentation
Developer4D, IncAtos Convergence CreatorsGoogleMachbase
Initial release19842016201020132005
Current releasev20, April 20231703V8.0, August 20233.4.2, February 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree test version availableOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC
Server operating systemsOS X
Windows
LinuxhostedLinux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.yesyesnonoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noyesSQL-like query languageyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPRESTful HTTP/JSON APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Server-side scripts infoStored proceduresyesnouser defined functions infoin JavaScriptnouser defined functions
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesselectable replication factoryes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno infoSince BigQuery is designed for querying datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infovolatile and lookup tableno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)simple password-based access controlyes infobased on PostgreSQL

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle BigQueryMachbase Neo infoFormer name was InfinifluxPostGIS
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