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DBMS > Cloudflare Workers KV vs. IBM Db2 Event Store vs. OrigoDB

System Properties Comparison Cloudflare Workers KV vs. IBM Db2 Event Store vs. OrigoDB

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrigoDB  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 database
Primary database modelKey-value storeEvent Store
Time Series DBMS
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#278  Overall
#39  Key-value stores
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.ibm.com/­products/­db2-event-storeorigodb.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.ibm.com/­docs/­en/­db2-event-storeorigodb.com/­docs
DeveloperCloudflareIBMRobert Friberg et al
Initial release201820172009 infounder the name LiveDB
Current release2.0
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collections
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 .NET
Secondary indexesnonoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
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
.Net
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
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 log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorization

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More resources
Cloudflare Workers KVIBM Db2 Event StoreOrigoDB
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