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DBMS > 4D vs. Apache Druid vs. Atos Standard Common Repository vs. IBM Db2 Event Store vs. Tkrzw

System Properties Comparison 4D vs. Apache Druid vs. Atos Standard Common Repository vs. IBM Db2 Event Store vs. Tkrzw

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDistributed Event Store optimized for Internet of Things use casesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
Event Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.4d.comdruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­db2-event-storedbmx.net/­tkrzw
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-store
Developer4D, IncApache Software Foundation and contributorsAtos Convergence CreatorsIBMMikio Hirabayashi
Initial release19842012201620172020
Current releasev20, April 202329.0.1, April 202417032.00.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialcommercial infofree developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C++
Server operating systemsOS X
Windows
Linux
OS X
Unix
LinuxLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Data schemeyesyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesno
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.yesnoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
LDAPADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesyesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes infousing specific database classes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationfine grained access rights according to SQL-standardno

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More resources
4D infoformer name: 4th DimensionApache DruidAtos Standard Common RepositoryIBM Db2 Event StoreTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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