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DBMS > Badger vs. Cloudflare Workers KV vs. Datomic vs. Hypertable

System Properties Comparison Badger vs. Cloudflare Workers KV vs. Datomic vs. Hypertable

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelKey-value storeKey-value storeRelational DBMSWide column store
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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.cloudflare.com/­developer-platform/­workers-kvwww.datomic.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdevelopers.cloudflare.com/­kv/­apidocs.datomic.com
DeveloperDGraph LabsCloudflareCognitectHypertable Inc.
Initial release2017201820122009
Current release1.0.6735, June 20230.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license available
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 languageGoJava, ClojureC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesno
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 indexesnonoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnononono
APIs and other access methodsHTTP REST
Proprietary protocol
RESTful HTTP APIC++ API
Thrift
Supported programming languagesGoC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsno
TriggersnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone infoBut extensive use of caching in the application peersselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and development
User concepts infoAccess controlnonono

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More resources
BadgerCloudflare Workers KVDatomicHypertable
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