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DBMS > Hive vs. NuoDB vs. OrigoDB vs. Splice Machine vs. WakandaDB

System Properties Comparison Hive vs. NuoDB vs. OrigoDB vs. Splice Machine vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNuoDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonWakandaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsA fully ACID in-memory object graph databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitehive.apache.orgwww.3ds.com/­nuodb-distributed-sql-databaseorigodb.comsplicemachine.comwakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.nuodb.comorigodb.com/­docssplicemachine.com/­how-it-workswakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookDassault Systèmes infooriginally NuoDB, Inc.Robert Friberg et alSplice MachineWakanda SAS
Initial release201220132009 infounder the name LiveDB20142012
Current release3.1.3, April 20223.1, March 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#JavaC++, JavaScript
Server operating systemsAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyesno
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava, SQLyesyes infoJavayes
Triggersnoyesyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoManaged transparently by NuoDBSource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tableyesyesno
User concepts infoAccess controlAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative UsersRole based authorizationAccess rights for users, groups and roles according to SQL-standardyes

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More resources
HiveNuoDBOrigoDBSplice MachineWakandaDB
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