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DBMS > 4D vs. Apache Druid vs. IBM Db2 Event Store vs. TerminusDB vs. Tibero

System Properties Comparison 4D vs. Apache Druid vs. IBM Db2 Event Store vs. TerminusDB vs. Tibero

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed Event Store optimized for Internet of Things use casesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Graph DBMSRelational DBMS
Secondary database modelsDocument store
RDF 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
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.4d.comdruid.apache.orgwww.ibm.com/­products/­db2-event-storeterminusdb.comus.tmaxsoft.com/­products/­tibero
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storeterminusdb.github.io/­terminusdb/­#technet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
Developer4D, IncApache Software Foundation and contributorsIBMDataChemist Ltd.TmaxSoft
Initial release19842012201720182003
Current releasev20, April 202329.0.1, April 20242.011.0.0, January 20236, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infofree developer edition availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Prolog, RustC and Assembler
Server operating systemsOS X
Windows
Linux
OS X
Unix
Linux infoLinux, macOS, Windows for the developer additionLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingyes infothrough the embedded Spark runtimeSQL-like query language (WOQL)yes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnoyesyesPersistent Stored Procedure (PSM)
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingGraph Partitioninghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesActive-active shard replicationJournaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno infoplanned for next version
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
4D infoformer name: 4th DimensionApache DruidIBM Db2 Event StoreTerminusDB infoformer name was DataChemistTibero
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