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DBMS > 4D vs. Atos Standard Common Repository vs. HBase vs. Spark SQL vs. VictoriaMetrics

System Properties Comparison 4D vs. Atos Standard Common Repository vs. HBase vs. Spark SQL vs. VictoriaMetrics

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonVictoriaMetrics  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 networksWide-column store based on Apache Hadoop and on concepts of BigTableSpark SQL is a component on top of 'Spark Core' for structured data processingA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSDocument store
Key-value store
Wide column storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryhbase.apache.orgspark.apache.org/­sqlvictoriametrics.com
Technical documentationdeveloper.4d.comhbase.apache.org/­book.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developer4D, IncAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationVictoriaMetrics
Initial release19842016200820142018
Current releasev20, April 202317032.3.4, January 20213.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScalaGo
Server operating systemsOS X
Windows
LinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesSchema and schema-less with LDAP viewsschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptionaloptions 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.yesyesnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infoclose to SQL 92nonoSQL-like DML and DDL statementsno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in Javanono
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication
Source-replica replication
noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)nono
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.noyesyesnono
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryHBaseSpark SQLVictoriaMetrics
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