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DBMS > Badger vs. Cloudflare Workers KV vs. EventStoreDB vs. GeoMesa

System Properties Comparison Badger vs. Cloudflare Workers KV vs. EventStoreDB vs. GeoMesa

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A 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.
Primary database modelKey-value storeKey-value storeEvent StoreSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
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
Websitegithub.com/­dgraph-io/­badgerwww.cloudflare.com/­developer-platform/­workers-kvwww.eventstore.comwww.geomesa.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdevelopers.cloudflare.com/­kv/­apidevelopers.eventstore.comwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperDGraph LabsCloudflareEvent Store LimitedCCRi and others
Initial release2017201820122014
Current release21.2, February 20215.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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 indexesnonoyes
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP REST
Proprietary protocol
Supported programming languagesGoC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistencydepending on storage layer
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.nonodepending on storage layer
User concepts infoAccess controlnoyes infodepending on the DBMS used for storage

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More resources
BadgerCloudflare Workers KVEventStoreDBGeoMesa
DB-Engines blog posts

Spatial database management systems
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