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DBMS > Cloudflare Workers KV vs. IBM Db2 Event Store vs. OrigoDB vs. Percona Server for MongoDB

System Properties Comparison Cloudflare Workers KV vs. IBM Db2 Event Store vs. OrigoDB vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrigoDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed Event Store optimized for Internet of Things use casesA fully ACID in-memory object graph databaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelKey-value storeEvent Store
Time Series DBMS
Document store
Object oriented DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#283  Overall
#40  Key-value stores
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.ibm.com/­products/­db2-event-storeorigodb.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.ibm.com/­docs/­en/­db2-event-storeorigodb.com/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperCloudflareIBMRobert Friberg et alPercona
Initial release201820172009 infounder the name LiveDB2015
Current release2.03.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen SourceOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C#C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenono
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
proprietary protocol using JSON
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.NetActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyesyesJavaScript
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationAccess rights for users and roles

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More resources
Cloudflare Workers KVIBM Db2 Event StoreOrigoDBPercona Server for MongoDB
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