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DBMS > Cloudflare Workers KV vs. Datomic vs. FatDB vs. GeoMesa vs. IBM Db2

System Properties Comparison Cloudflare Workers KV vs. Datomic vs. FatDB vs. GeoMesa vs. IBM Db2

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonFatDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA .NET NoSQL DBMS that can integrate with and extend SQL Server.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelKey-value storeRelational DBMSDocument store
Key-value store
Spatial DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.geomesa.orgwww.ibm.com/­products/­db2
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ibm.com/­docs/­en/­db2
DeveloperCloudflareCognitectFatCloudCCRi and othersIBM
Initial release20182012201220141983 infohost version
Current release1.0.6735, June 20235.0.0, May 202412.1, October 2016
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache License 2.0commercial infofree version is available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC#ScalaC and C++
Server operating systemshostedAll OS with a Java VMWindowsAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonono infoVia inetgration in SQL Servernoyes
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
C#C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes infovia applicationsnoyes
TriggersnoBy using transaction functionsyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingdepending on storage layerSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factordepending on storage layeryes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
depending on storage layer
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentdepending on storage layer
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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More resources
Cloudflare Workers KVDatomicFatDBGeoMesaIBM Db2 infoformerly named DB2 or IBM Database 2
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