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DBMS > Bangdb vs. Hive vs. IBM Cloudant vs. Tkrzw vs. VelocityDB

System Properties Comparison Bangdb vs. Hive vs. IBM Cloudant vs. Tkrzw vs. VelocityDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering based on Apache CouchDBA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeKey-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score2.73
Rank#108  Overall
#20  Document stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websitebangdb.comhive.apache.orgwww.ibm.com/­products/­cloudantdbmx.net/­tkrzwvelocitydb.com
Technical documentationdocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantvelocitydb.com/­UserGuide
DeveloperSachin Sinha, BangDBApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Mikio HirabayashiVelocityDB Inc
Initial release20122012201020202011
Current releaseBangDB 2.0, October 20213.1.3, April 20220.9.3, August 20207.x
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaErlangC++C#
Server operating systemsLinuxAll OS with a Java VMhostedLinux
macOS
Any that supports .NET
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnonoyes
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, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolSQL-like DML and DDL statementsnonono
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
RESTful HTTP/JSON API.Net
Supported programming languagesC
C#
C++
Java
Python
C++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScriptnono
Triggersyes, Notifications (with Streaming only)noyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modenoyes infousing specific database classesyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and rolesAccess rights for users can be defined per databasenoBased on Windows Authentication

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More resources
BangdbHiveIBM CloudantTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetVelocityDB
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