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DBMS > 4D vs. Atos Standard Common Repository vs. Hive vs. Kingbase vs. QuestDB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Hive vs. Kingbase vs. QuestDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonKingbase  Xexclude from comparisonQuestDB  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 networksdata warehouse software for querying and managing large distributed datasets, built on HadoopAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A high performance open source SQL database for time series data
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgwww.kingbase.com.cnquestdb.io
Technical documentationdeveloper.4d.comcwiki.apache.org/­confluence/­display/­Hive/­Homequestdb.io/­docs
Developer4D, IncAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookBeiJing KINGBASE Information technologies inc.QuestDB Technology Inc
Initial release19842016201219992014
Current releasev20, April 202317033.1.3, April 2022V8.0, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialOpen Source infoApache 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 languageJavaJavaC and JavaJava (Zero-GC), C++, Rust
Server operating systemsOS X
Windows
LinuxAll OS with a Java VMLinux
Windows
Linux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes infoschema-free via InfluxDB Line Protocol
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.yesyesyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like DML and DDL statementsStandard with numerous extensionsSQL with time-series extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
Thrift
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardinghorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesselectable replication factoryesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID for single-table writes
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.noyesyes infothrough memory mapped files
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryHiveKingbaseQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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