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DBMS > Bangdb vs. Cloudflare Workers KV vs. HarperDB vs. Hyprcubd

System Properties Comparison Bangdb vs. Cloudflare Workers KV vs. HarperDB vs. Hyprcubd

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonHarperDB  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Serverless Time Series DBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Websitebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvwww.harperdb.iohyprcubd.com (offline)
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apidocs.harperdb.io/­docs
DeveloperSachin Sinha, BangDBCloudflareHarperDBHyprcubd, Inc.
Initial release201220182017
Current releaseBangDB 2.0, October 20213.1, August 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Node.jsGo
Server operating systemsLinuxhostedLinux
OS X
hosted
Data schemeschema-freeschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyes infoJSON data typesyes infotime, int, uint, float, string
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 indexesyes infosecondary, composite, nested, reverse, geospatialnoyesno
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like data manipulation statementsSQL-like query language
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
gRPC (https)
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1no
Triggersyes, Notifications (with Streaming only)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesno
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyesno
User concepts infoAccess controlyes (enterprise version only)Access rights for users and rolestoken access

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More resources
BangdbCloudflare Workers KVHarperDBHyprcubd
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