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DBMS > Cloudflare Workers KV vs. EventStoreDB vs. GeoMesa vs. Sadas Engine

System Properties Comparison Cloudflare Workers KV vs. EventStoreDB vs. GeoMesa vs. Sadas Engine

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Industrial-strength, open-source database solution built from the ground up for event sourcing.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeEvent StoreSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.eventstore.comwww.geomesa.orgwww.sadasengine.com
Technical documentationdevelopers.cloudflare.com/­kv/­apidevelopers.eventstore.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCloudflareEvent Store LimitedCCRi and othersSADAS s.r.l.
Initial release2018201220142006
Current release21.2, February 20215.0.0, May 20248.0
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache License 2.0commercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemshostedLinux
Windows
AIX
Linux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles according to SQL-standard

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More resources
Cloudflare Workers KVEventStoreDBGeoMesaSadas Engine
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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