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DBMS > Bangdb vs. FatDB vs. Hive vs. Microsoft Azure SQL Database

System Properties Comparison Bangdb vs. FatDB vs. Hive vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFatDB  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA .NET NoSQL DBMS that can integrate with and extend SQL Server.data warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitebangdb.comhive.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperSachin Sinha, BangDBFatCloudApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release2012201220122010
Current releaseBangDB 2.0, October 20213.1.3, April 2022V12
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C#JavaC++
Server operating systemsLinuxWindowsAll OS with a Java VMhosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.noyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolno infoVia inetgration in SQL ServerSQL-like DML and DDL statementsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C#C++
Java
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infovia applicationsyes infouser defined functions and integration of map-reduceTransact SQL
Triggersyes, Notifications (with Streaming only)yes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorselectable replication factoryes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 mode
User concepts infoAccess controlyes (enterprise version only)no infoCan implement custom security layer via applicationsAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
BangdbFatDBHiveMicrosoft Azure SQL Database infoformerly SQL Azure
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