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

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

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonGeoMesa  Xexclude from comparisonHugeGraph  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 durabilityGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A fast-speed and highly-scalable Graph DBMSCommon in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelKey-value storeRelational DBMSSpatial DBMSGraph 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.comwww.geomesa.orggithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2
Technical documentationdevelopers.cloudflare.com/­kv/­apidocs.datomic.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlhugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2
DeveloperCloudflareCognitectCCRi and othersBaiduIBM
Initial release20182012201420181983 infohost version
Current release1.0.7075, December 20235.0.0, May 20240.912.1, October 2016
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache License 2.0Open Source infoApache Version 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, ClojureScalaJavaC and C++
Server operating systemshostedAll OS with a Java VMLinux
macOS
Unix
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeschema-freeyesyesyesyes
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.nononono
Secondary indexesnoyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
Groovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoasynchronous Gremlin script jobsyes
TriggersnoBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersdepending on storage layeryes infodepending on used storage backend, e.g. Cassandra and HBaseyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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 layeryes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageUsers, roles and permissionsfine grained access rights according to SQL-standard

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