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

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

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonGeoMesa  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparison
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 drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGeoMesa 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 DBMSKey-value storeSpatial 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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.geomesa.orgwww.ibm.com/­products/­db2
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comwww.dragonflydb.io/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ibm.com/­docs/­en/­db2
DeveloperCloudflareCognitectDragonflyDB team and community contributorsCCRi and othersIBM
Initial release20182012202320141983 infohost version
Current release1.0.7075, December 20231.0, March 20235.0.0, May 202412.1, October 2016
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSL 1.1Open 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

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Implementation languageJava, ClojureC++ScalaC and C++
Server operating systemshostedAll OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeschema-freeyesscheme-freeyesyes
Typing infopredefined data types such as float or datenoyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsLuanoyes
TriggersnoBy using transaction functionspublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersdepending 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 peersSource-replica replicationdepending on storage layeryes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistencydepending on storage layer
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of command blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
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 developmentyesdepending on storage layer
User concepts infoAccess controlnoPassword-based authenticationyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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