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DBMS > HEAVY.AI vs. Hive vs. InfinityDB vs. MonetDB

System Properties Comparison HEAVY.AI vs. Hive vs. InfinityDB vs. MonetDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwaredata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceA relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
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
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
hive.apache.orgboilerbay.comwww.monetdb.org
Technical documentationdocs.heavy.aicwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manualwww.monetdb.org/­Documentation
DeveloperHEAVY.AI, Inc.Apache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.MonetDB BV
Initial release2016201220022004
Current release5.10, January 20223.1.3, April 20224.0Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2commercialOpen 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 languageC++ and CUDAJavaJavaC
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
PHP
Python
JavaC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes, in SQL, C, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnoneSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factornonenone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HiveInfinityDBMonetDB
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