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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonHive  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 networksFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopA 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 modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorydb.apache.org/­derbyhive.apache.orgquestdb.io
Technical documentationdeveloper.4d.comdb.apache.org/­derby/­manuals/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homequestdb.io/­docs
Developer4D, IncAtos Convergence CreatorsApache Software FoundationApache Software Foundation infoinitially developed by FacebookQuestDB Technology Inc
Initial release19842016199720122014
Current releasev20, April 2023170310.17.1.0, November 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaJava (Zero-GC), C++, Rust
Server operating systemsOS X
Windows
LinuxAll OS with a Java VMAll OS with a Java VMLinux
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 92noyesSQL-like DML and DDL statementsSQL with time-series extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBCJDBC
ODBC
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsJavaC++
Java
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresyes infouser defined functions and integration of map-reduceno
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationselectable replication factorSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnoACID 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.noyesyesyes infothrough memory mapped files
User concepts infoAccess controlUsers and groupsLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHiveQuestDB
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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4D infoformer name: 4th DimensionAtos Standard Common RepositoryDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBHiveQuestDB
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