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DBMS > Drizzle vs. HEAVY.AI vs. JaguarDB vs. Kinetica vs. OrientDB

System Properties Comparison Drizzle vs. HEAVY.AI vs. JaguarDB vs. Kinetica vs. OrientDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparisonOrientDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarePerformant, highly scalable DBMS for AI and IoT applicationsFully vectorized database across both GPUs and CPUsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSRelational DBMSKey-value store
Vector DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.09
Rank#356  Overall
#53  Key-value stores
#13  Vector DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.jaguardb.comwww.kinetica.comorientdb.org
Technical documentationdocs.heavy.aiwww.jaguardb.com/­support.htmldocs.kinetica.comwww.orientdb.com/­docs/­last/­index.html
DeveloperDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.DataJaguar, Inc.KineticaOrientDB LTD; CallidusCloud; SAP
Initial release20082016201520122010
Current release7.2.4, September 20125.10, January 20223.3 July 20237.1, August 20213.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3.0commercialOpen Source infoApache version 2
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++C++ and CUDAC++ infothe server part. Clients available in other languagesC, C++Java
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxLinuxAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsSQL-like query language, no joins
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Vega
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnononouser defined functionsJava, Javascript
Triggersno infohooks for callbacks inside the server can be used.nonoyes infotriggers when inserted values for one or more columns fall within a specified rangeHooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users and roles on table levelAccess rights for users and roles; record level security configurable

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