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DBMS > Hive vs. InfinityDB vs. IRONdb vs. MonetDB

System Properties Comparison Hive vs. InfinityDB vs. IRONdb vs. MonetDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparisonMonetDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA relational database management system that stores data in columns
Primary database modelRelational DBMSKey-value storeTime Series 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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitehive.apache.orgboilerbay.comwww.circonus.com/solutions/time-series-database/www.monetdb.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-startedwww.monetdb.org/­Documentation
DeveloperApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.Circonus LLC.MonetDB BV
Initial release2012200220172004
Current release3.1.3, April 20224.0V0.10.20, January 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++C
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histogramsyes
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
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC++
Java
PHP
Python
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes, in Luayes, in SQL, C, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodeSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneconfigurable replication factor, datacenter awarenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesnonofine grained access rights according to SQL-standard

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HiveInfinityDBIRONdbMonetDB
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