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DBMS > Badger vs. Cloudflare Workers KV vs. Drizzle vs. IBM Cloudant vs. Kinetica

System Properties Comparison Badger vs. Cloudflare Workers KV vs. Drizzle vs. IBM Cloudant vs. Kinetica

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  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.
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.Database as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.32
Rank#283  Overall
#40  Key-value stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.cloudflare.com/­developer-platform/­workers-kvwww.ibm.com/­products/­cloudantwww.kinetica.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdevelopers.cloudflare.com/­kv/­apicloud.ibm.com/­docs/­Cloudantdocs.kinetica.com
DeveloperDGraph LabsCloudflareDrizzle project, originally started by Brian AkerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Kinetica
Initial release20172018200820102012
Current release7.2.4, September 20127.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ErlangC, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
hostedLinux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoyesnoyes
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.nononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsnoSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
Proprietary protocol
JDBCRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesGoC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C++
Java
PHP
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononoView functions (Map-Reduce) in JavaScriptuser defined functions
Triggersnonono infohooks for callbacks inside the server can be used.yesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databaseAccess rights for users and roles on table level

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More resources
BadgerCloudflare Workers KVDrizzleIBM CloudantKinetica
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