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DBMS > HEAVY.AI vs. Kingbase vs. NuoDB vs. Oracle Berkeley DB

System Properties Comparison HEAVY.AI vs. Kingbase vs. NuoDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKingbase  Xexclude from comparisonNuoDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.NuoDB is a webscale distributed database that supports SQL and ACID transactionsWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.45
Rank#265  Overall
#124  Relational DBMS
Score0.99
Rank#195  Overall
#92  Relational DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.kingbase.com.cnwww.3ds.com/­nuodb-distributed-sql-databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.heavy.aidoc.nuodb.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperHEAVY.AI, Inc.BeiJing KINGBASE Information technologies inc.Dassault Systèmes infooriginally NuoDB, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016199920131994
Current release5.10, January 2022V8.0, August 202118.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infolimited edition freeOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and JavaC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxLinux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnoyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesStandard with numerous extensionsyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.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
Server-side scripts infoStored proceduresnouser defined functionsJava, SQLno
Triggersnoyesyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning (by range, list and hash) and vertical partitioningdata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes infoManaged transparently by NuoDBSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tableyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Usersno

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KingbaseNuoDBOracle Berkeley DB
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