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DBMS > HEAVY.AI vs. HyperSQL vs. Kinetica vs. Memcached vs. Quasardb

System Properties Comparison HEAVY.AI vs. HyperSQL vs. Kinetica vs. Memcached vs. Quasardb

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for cachingDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
hsqldb.orgwww.kinetica.comwww.memcached.orgquasar.ai
Technical documentationdocs.heavy.aihsqldb.org/­web/­hsqlDocsFrame.htmldocs.kinetica.comgithub.com/­memcached/­memcached/­wikidoc.quasar.ai/­master
DeveloperHEAVY.AI, Inc.KineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalquasardb
Initial release20162001201220032009
Current release5.10, January 20222.7.2, June 20237.1, August 20211.6.27, May 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infobased on BSD licensecommercialOpen Source infoBSD licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaC, C++CC++
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxFreeBSD
Linux
OS X
Unix
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infointeger and binary
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.nononono
Secondary indexesnoyesyesnoyes infowith tags
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Proprietary protocolHTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
All languages supporting JDBC/ODBC
Java
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoJava, SQLuser defined functionsnono
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocolCryptographically strong user authentication and audit trail

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyperSQL infoalso known as HSQLDBKineticaMemcachedQuasardb
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