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DBMS > Graph Engine vs. Hive vs. Oracle Berkeley DB vs. OushuDB vs. TDSQL for MySQL

System Properties Comparison Graph Engine vs. Hive vs. Oracle Berkeley DB vs. OushuDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOushuDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA 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 HadoopWidely used in-process key-value storeA 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 modelGraph DBMS
Key-value store
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.graphengine.iohive.apache.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oushu.com/­product/­oushuDBwww.tencentcloud.com/­products/­dcdb
Technical documentationwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.oushu.com/­documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperMicrosoftApache Software Foundation infoinitially developed by FacebookOracle infooriginally developed by Sleepycat, which was acquired by OracleOushuTencent
Initial release2010201219942013
Current release3.1.3, April 202218.1.40, May 20204.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2Open Source infocommercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systems.NETAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linuxhosted
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableFull-featured ANSI SQL supportyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyesyes
Triggersnonoyes infoonly for the SQL APIyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneyesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users, groups and rolesnoKerberos, SSL and role based accessUsers with fine-grained authorization concept

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More resources
Graph Engine infoformer name: TrinityHiveOracle Berkeley DBOushuDBTDSQL for MySQL
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