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DBMS > 4D vs. Atos Standard Common Repository vs. BigObject vs. QuestDB vs. Riak KV

System Properties Comparison 4D vs. Atos Standard Common Repository vs. BigObject vs. QuestDB vs. Riak KV

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonQuestDB  Xexclude from comparisonRiak KV  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 networksAnalytic DBMS for real-time computations and queriesA high performance open source SQL database for time series dataDistributed, fault tolerant key-value store
Primary database modelRelational DBMSDocument store
Key-value store		Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#106  Overall
#55  Relational DBMS
Score0.04
Rank#334  Overall
#151  Relational DBMS
Score1.24
Rank#155  Overall
#12  Time Series DBMS
Score6.52
Rank#65  Overall
#9  Key-value stores
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.ioquestdb.ioriak.com/­products/­riak-kv
Technical documentationlivedoc.4d.comdocs.bigobject.ioquestdb.io/­docs/­introduction
Developer4D, IncAtos Convergence CreatorsBigObject, Inc.QuestDB LimitedBasho Technologies
Initial release19842016201520142009
Current releasev18 R5, January 202117032.1.0, April 2015
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
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 languageJavaJavaErlang
Server operating systemsOS X
Windows		LinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)		Linux
macOS
Windows		Linux
OS X
Data schemeyesSchema and schema-less with LDAP viewsyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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 indexesyesyesyesnorestricted
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices		LDAPfluentd
ODBC
RESTful HTTP API		HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC		HTTP API
Native Erlang Interface
Supported programming languages4D proprietary IDE
PHP		All languages with LDAP bindingsC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP		C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoLuanoJavaScript and Erlang
Triggersyesyesnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnonehorizontal partitioning (by timestamps)Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneConfigurable consistency for N replicasselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoautomatically between fact table and dimension tablesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yesyes
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 authenticationnono
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryBigObjectQuestDBRiak KV
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
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4D infoformer name: 4th DimensionAtos Standard Common RepositoryBigObjectQuestDBRiak KV
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