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DBMS > HEAVY.AI vs. MonetDB vs. Quasardb vs. Rockset

System Properties Comparison HEAVY.AI vs. MonetDB vs. Quasardb vs. Rockset

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA relational database management system that stores data in columnsDistributed, high-performance timeseries databaseA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.monetdb.orgquasar.airockset.com
Technical documentationdocs.heavy.aiwww.monetdb.org/­Documentationdoc.quasar.ai/­masterdocs.rockset.com
DeveloperHEAVY.AI, Inc.MonetDB BVquasardbRockset
Initial release2016200420092019
Current release5.10, January 2022Dec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMozilla Public License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDACC++C++
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
hosted
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binarydynamic typing
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.nonono infoingestion from XML files supported
Secondary indexesnoyesyes infowith tagsall fields are automatically indexed
SQL infoSupport of SQLyesyes infoSQL 2003 with some extensionsSQL-like query languageRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP APIHTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes, in SQL, C, Rnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding via remote tablesSharding infoconsistent hashingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAccess rights for users and organizations can be defined via Rockset console

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