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DBMS > Badger vs. Cloudflare Workers KV vs. Drizzle vs. Yaacomo

System Properties Comparison Badger vs. Cloudflare Workers KV vs. Drizzle vs. Yaacomo

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDrizzle  Xexclude from comparisonYaacomo  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeKey-value storeRelational DBMSRelational 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
Websitegithub.com/­dgraph-io/­badgerwww.cloudflare.com/­developer-platform/­workers-kvyaacomo.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdevelopers.cloudflare.com/­kv/­api
DeveloperDGraph LabsCloudflareDrizzle project, originally started by Brian AkerQ2WEB GmbH
Initial release2017201820082009
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
Android
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyes
APIs and other access methodsHTTP REST
Proprietary protocol
JDBCJDBC
ODBC
Supported programming languagesGoC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Java
PHP
Server-side scripts infoStored proceduresnonono
Triggersnonono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
BadgerCloudflare Workers KVDrizzleYaacomo
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