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DBMS > Bangdb vs. Dragonfly vs. Oracle NoSQL

System Properties Comparison Bangdb vs. Dragonfly vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDragonfly  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeDocument store
Key-value store
Relational 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
Score0.49
Rank#261  Overall
#38  Key-value stores
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Websitebangdb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.bangdb.comwww.dragonflydb.io/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperSachin Sinha, BangDBDragonflyDB team and community contributorsOracle
Initial release201220232011
Current releaseBangDB 2.0, October 20211.0, March 202323.3, December 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSL 1.1Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++Java
Server operating systemsLinuxLinuxLinux
Solaris SPARC/x86
Data schemeschema-freescheme-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsstrings, hashes, lists, sets, sorted sets, bit arraysoptional
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 indexesyes infosecondary, composite, nested, reverse, geospatialnoyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuano
Triggersyes, Notifications (with Streaming only)publish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
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 modeyesyes infooff heap cache
User concepts infoAccess controlyes (enterprise version only)Password-based authenticationAccess rights for users and roles

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More resources
BangdbDragonflyOracle NoSQL
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