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DBMS > Bangdb vs. Graph Engine vs. Hive vs. OushuDB vs. TDSQL for MySQL

System Properties Comparison Bangdb vs. Graph Engine vs. Hive vs. OushuDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonOushuDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitebangdb.comwww.graphengine.iohive.apache.orgwww.oushu.com/­product/­oushuDBwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.bangdb.comwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homewww.oushu.com/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperSachin Sinha, BangDBMicrosoftApache Software Foundation infoinitially developed by FacebookOushuTencent
Initial release2012201020122013
Current releaseBangDB 2.0, October 20213.1.3, April 20224.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++.NET and CJava
Server operating systemsLinux.NETAll OS with a Java VMLinuxhosted
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like DML and DDL statementsFull-featured ANSI SQL supportyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C#
C++
F#
Visual Basic
C++
Java
PHP
Python
C
C++
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduceyesyes
Triggersyes, Notifications (with Streaming only)nonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioningShardingyesAutomatic sharding
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as welloptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
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 modeyesno
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and rolesKerberos, SSL and role based accessUsers with fine-grained authorization concept

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More resources
BangdbGraph Engine infoformer name: TrinityHiveOushuDBTDSQL for MySQL
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