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DBMS > Hive vs. Hypertable vs. IBM Cloudant vs. MonetDB vs. Splice Machine

System Properties Comparison Hive vs. Hypertable vs. IBM Cloudant vs. MonetDB vs. Splice Machine

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMonetDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering based on Apache CouchDBA relational database management system that stores data in columnsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSWide column storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitehive.apache.orgwww.ibm.com/­products/­cloudantwww.monetdb.orgsplicemachine.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudantwww.monetdb.org/­Documentationsplicemachine.com/­how-it-works
DeveloperApache Software Foundation infoinitially developed by FacebookHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MonetDB BVSplice Machine
Initial release20122009201020042014
Current release3.1.3, April 20220.9.8.11, March 2016Dec2023 (11.49), December 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ErlangCJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.no
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
Thrift
C++ API
Thrift
RESTful HTTP/JSON APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoView functions (Map-Reduce) in JavaScriptyes, in SQL, C, Ryes infoJava
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding via remote tablesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelMulti-source replication
Source-replica replication
none infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and rolesnoAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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HiveHypertableIBM CloudantMonetDBSplice Machine
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