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DBMS > 4D vs. Ehcache vs. eXtremeDB vs. IBM Db2 Event Store

System Properties Comparison 4D vs. Ehcache vs. eXtremeDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonEhcache  Xexclude from comparisoneXtremeDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA widely adopted Java cache with tiered storage optionsNatively in-memory DBMS with options for persistency, high-availability and clusteringDistributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSKey-value storeRelational DBMS
Time Series DBMS
Event Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score5.23
Rank#68  Overall
#8  Key-value stores
Score0.73
Rank#227  Overall
#104  Relational DBMS
#18  Time Series DBMS
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.4d.comwww.ehcache.orgwww.mcobject.comwww.ibm.com/­products/­db2-event-store
Technical documentationdeveloper.4d.comwww.ehcache.org/­documentationwww.mcobject.com/­docs/­extremedb.htmwww.ibm.com/­docs/­en/­db2-event-store
Developer4D, IncTerracotta Inc, owned by Software AGMcObjectIBM
Initial release1984200920012017
Current releasev20, April 20233.10.0, March 20228.2, 20212.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C and C++
Server operating systemsOS X
Windows
All OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono infosupport of XML interfaces availableno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infoclose to SQL 92noyes infowith the option: eXtremeSQLyes infothrough the embedded Spark runtime
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JCache.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
Java.Net
C
C#
C++
Java
Lua
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoyesyes
Triggersyesyes infoCache Event Listenersyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta Serverhorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoby using Terracotta ServerActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableNo - written data is immutable
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlUsers and groupsnofine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionEhcacheeXtremeDBIBM Db2 Event Store
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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4D infoformer name: 4th DimensionEhcacheeXtremeDBIBM Db2 Event Store
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