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DBMS > Cloudflare Workers KV vs. Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. Microsoft Access

System Properties Comparison Cloudflare Workers KV vs. Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. Microsoft Access

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Distributed Event Store optimized for Internet of Things use casesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelKey-value storeRelational DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#283  Overall
#40  Key-value stores
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.postgresql.fastware.comwww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.postgresql.fastware.com/­product-manualswww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­access
DeveloperCloudflarePostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBMMicrosoft
Initial release201820171992
Current releaseFujitsu Enterprise Postgres 14, January 20222.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++C++
Server operating systemshostedLinux
Windows
Linux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standard
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functionsyesyes infosince Access 2010 using the ACE-engine
Triggersnoyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)No - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
Cloudflare Workers KVFujitsu Enterprise PostgresIBM Db2 Event StoreMicrosoft Access
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