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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA 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 CPUs
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
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
Websitewww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.jaguardb.comwww.kinetica.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.aiwww.jaguardb.com/­support.htmldocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerGigaspaces TechnologiesHEAVY.AI, Inc.DataJaguar, Inc.Kinetica
Initial release20082000201620152012
Current release7.2.4, September 201215.5, September 20205.10, January 20223.3 July 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3.0commercial
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++Java, C++, .NetC++ and CUDAC++ infothe server part. Clients available in other languagesC, C++
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Solaris
Windows
LinuxLinuxLinux
Data schemeyesschema-freeyesyesyes
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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-99 for query and DML statementsyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statements
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesnonouser defined functions
Triggersno infohooks for callbacks inside the server can be used.yes, event driven architecturenonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
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.yesyesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users and roles on table level

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