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DBMS > 4D vs. Cloudflare Workers KV vs. GigaSpaces vs. H2 vs. IBM Db2 Event Store

System Properties Comparison 4D vs. Cloudflare Workers KV vs. GigaSpaces vs. H2 vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGigaSpaces  Xexclude from comparisonH2  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSEvent Store
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.4d.comwww.cloudflare.com/­developer-platform/­workers-kvwww.gigaspaces.comwww.h2database.comwww.ibm.com/­products/­db2-event-store
Technical documentationdeveloper.4d.comdevelopers.cloudflare.com/­kv/­apidocs.gigaspaces.com/­latest/­landing.htmlwww.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2-event-store
Developer4D, IncCloudflareGigaspaces TechnologiesThomas MuellerIBM
Initial release19842018200020052017
Current releasev20, April 202315.5, September 20202.2.220, July 20232.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC and C++
Server operating systemsOS X
Windows
hostedLinux
macOS
Solaris
Windows
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-99 for query and DML statementsyesyes infothrough the embedded Spark runtime
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP REST
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C++
Java
Python
Scala
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoyesJava Stored Procedures and User-Defined Functionsyes
Triggersyesnoyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
With clustering: 2 database servers on different computers operate on identical copies of a databaseActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)No - written data is immutable
Durability infoSupport for making data persistentyesyesyesyesYes - 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.nonoyesyesyes
User concepts infoAccess controlUsers and groupsRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionCloudflare Workers KVGigaSpacesH2IBM Db2 Event Store
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