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DBMS > 4D vs. Atos Standard Common Repository vs. Google Cloud Bigtable vs. Greenplum vs. Kinetica

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Google Cloud Bigtable vs. Greenplum vs. Kinetica

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGreenplum  Xexclude from comparisonKinetica  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 networksGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigtablegreenplum.orgwww.kinetica.com
Technical documentationdeveloper.4d.comcloud.google.com/­bigtable/­docsdocs.greenplum.orgdocs.kinetica.com
Developer4D, IncAtos Convergence CreatorsGooglePivotal Software Inc.Kinetica
Initial release19842016201520052012
Current releasev20, April 202317037.0.0, September 20237.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial
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 languageJavaC, C++
Server operating systemsOS X
Windows
LinuxhostedLinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.yesyesnoyes infosince Version 4.2no
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyesSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnonoyesuser defined functions
Triggersyesyesnoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsAtomic single-row operationsACIDno
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.noyesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGoogle Cloud BigtableGreenplumKinetica
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