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DBMS > HEAVY.AI vs. OpenQM vs. Rockset vs. Tigris

System Properties Comparison HEAVY.AI vs. OpenQM vs. Rockset vs. Tigris

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRockset  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareQpenQM is a high-performance, self-tuning, multi-value DBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSMultivalue DBMSDocument storeDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrockset.comwww.tigrisdata.com
Technical documentationdocs.heavy.aidocs.rockset.comwww.tigrisdata.com/­docs
DeveloperHEAVY.AI, Inc.Rocket Software, originally Martin PhillipsRocksetTigris Data, Inc.
Initial release2016199320192022
Current release5.10, January 20223.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeyesyes infowith some exceptionsschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingyes
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.noyesno infoingestion from XML files supportedno
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP RESTCLI Client
gRPC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinyesAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users and roles

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenQM infoalso called QMRocksetTigris
Recent citations in the news

HEAVY.AI: The Fastest Analytics and Location Intelligence Platform
1 March 2022, heavy.ai

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, businesswire.com

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

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14 April 2023, InfoWorld

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