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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonH2  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Full-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 DBMSGraph DBMS
RDF store
Key-value storeRelational DBMSEvent Store
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.4d.comcambridgesemantics.com/­anzographwww.cloudflare.com/­developer-platform/­workers-kvwww.h2database.comwww.ibm.com/­products/­db2-event-store
Technical documentationdeveloper.4d.comdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdevelopers.cloudflare.com/­kv/­apiwww.h2database.com/­html/­main.htmlwww.ibm.com/­docs/­en/­db2-event-store
Developer4D, IncCambridge SemanticsCloudflareThomas MuellerIBM
Initial release19842018201820052017
Current releasev20, April 20232.3, January 20212.2.220, July 20232.0
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemsOS X
Windows
LinuxhostedAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesSchema-free and OWL/RDFS-schema supportschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL and SPARQL* as primary query language. Cypher preview.noyesyes infothrough the embedded Spark runtime
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP REST
Proprietary protocol
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
JavaC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoJava Stored Procedures and User-Defined Functionsyes
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in MPP-ClusteryesWith 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 methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
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.noyesnoyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAnzoGraph DBCloudflare Workers KVH2IBM Db2 Event Store
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